{smcl}
{com}{sf}{ul off}{txt}{.-}
      name:  {res}<unnamed>
       {txt}log:  {res}C:\Users\Natha\OneDrive\Jana\Academic Work\Inequality in LA\Outputs\exclusionaryDemocracyLABook\Analysis\democraticNorms\PoP\analysisLogPoPFinal.smcl
  {txt}log type:  {res}smcl
 {txt}opened on:  {res}27 Sep 2024, 11:15:03
{txt}
{com}. 
. *****************CONSTRUCTING DEPENDENT VARIABLES: DEMOCRATIC VALUES*************
. drop if pais>21   //dropping non-Latin American cases 
{txt}(72,650 observations deleted)

{com}. drop if pais==0   //removing cases with country unassigned
{txt}(0 observations deleted)

{com}. 
. gen e5r = e5-1
{txt}(9,920 missing values generated)

{com}. gen e8r = e8-1
{txt}(82,604 missing values generated)

{com}. gen e11r = e11-1
{txt}(83,938 missing values generated)

{com}. egen misreg = rowmiss(e5r e8r e11r)
{txt}
{com}. egen demprin_i = rowmean(e5r e8r e11r) if misreg<=1
{txt}(82,575 missing values generated)

{com}. drop misreg
{txt}
{com}. //the above set of syntax creates a support for regime principles scale using 
. //an additive logic, and allows respondents with some missing to have a score on the scale
. label var demprin_i "Support for regime principles, index" //alpha score for scale is .73, individual loadings over .6
{txt}
{com}. label var e5r "Support for protest participation"
{txt}
{com}. label var e8r "Support for community problem-solving"
{txt}
{com}. label var e11r "Support for working in campaign"
{txt}
{com}. 
. 
. ******************CONSTRUCTING INDIVIDUAL-LEVEL INDEPENDENT VARIABLES**********
. 
. ********Ethnicity**************
. gen selfetid = etid
{txt}(19,324 missing values generated)

{com}. label var selfetid "Self-identified ethnicity, corrected codings"
{txt}
{com}. 
. recode selfetid 5=7 if pais==1 & year==2004
{txt}(1 changes made to {bf:selfetid})

{com}. //correctly codes "other" category in Mexico
. 
. recode selfetid 5=7 if pais==2 & year==2006
{txt}(14 changes made to {bf:selfetid})

{com}. //correctly codes "other" category in Guatemala 
. //leaves Garifuna in black category
. 
. recode selfetid 5=7 if pais==8 & year==2004
{txt}(3 changes made to {bf:selfetid})

{com}. //correctly codes "other" category in Colombia 
. 
. recode selfetid 1110=3 1111=3 1112=3 if pais==11 & (year==2014 | year==2016)
{txt}(641 changes made to {bf:selfetid})

{com}. //recodes Quechua, Aymara and De la Amazonia into a single indigenous category in Peru
. recode selfetid 1113=7 if pais==11 & (year==2014 | year==2016)
{txt}(44 changes made to {bf:selfetid})

{com}. //recode Zambo to other in Peru
. recode selfetid 1106=7 if pais==11
{txt}(20 changes made to {bf:selfetid})

{com}. recode selfetid 6=7 if pais==11
{txt}(5 changes made to {bf:selfetid})

{com}. //recode Oriental to other in Peru
. 
. recode selfetid 5=7 if pais==15 & year==2008 //recodes amarela to other in Brazil
{txt}(25 changes made to {bf:selfetid})

{com}. recode selfetid 2=5 if pais==15 & year==2008 //recodes pardo into mulatto category in Brazil
{txt}(544 changes made to {bf:selfetid})

{com}. recode selfetid 5=7 if pais==15 & year==2010 //recodes amarela to other in Brazil
{txt}(67 changes made to {bf:selfetid})

{com}. recode selfetid 2=5 if pais==15 & year==2010 //recodes pardo into mulatto category in Brazil
{txt}(1,217 changes made to {bf:selfetid})

{com}. recode selfetid 6=7 if pais==15 & year==2012 //recodes amarela to other in Brazil
{txt}(51 changes made to {bf:selfetid})

{com}. recode selfetid 1506=7 if pais==15 & (year==2014 | year==2016) //recodes amarela to other in Brazil
{txt}(158 changes made to {bf:selfetid})

{com}. 
. recode selfetid 6=2 if pais==16 & year==2008
{txt}(616 changes made to {bf:selfetid})

{com}. recode selfetid 6=2 if pais==16 & year==2010
{txt}(668 changes made to {bf:selfetid})

{com}. recode selfetid 6=2 if pais==16 & year==2012
{txt}(600 changes made to {bf:selfetid})

{com}. recode selfetid 1606=2 if pais==16 & (year==2014 | year==2016)
{txt}(1,148 changes made to {bf:selfetid})

{com}. //Recodes Moreno into Mestizo category in Venezuela
. 
. label define ethnicity 1 "White" 2 "Mestizo" 3 "Indigenous" 4 "Black" 5 "Mulatto" 7 "Other"
{txt}
{com}. label values selfetid ethnicity
{txt}
{com}. 
. gen white=0 if selfetid~=.
{txt}(8,690 missing values generated)

{com}. recode white 0=1 if selfetid==1
{txt}(51,194 changes made to {bf:white})

{com}. label var white "White"
{txt}
{com}. 
. gen mestizo=0 if selfetid~=.
{txt}(8,690 missing values generated)

{com}. recode mestizo 0=1 if selfetid==2
{txt}(96,123 changes made to {bf:mestizo})

{com}. label var mestizo "Mestizo"
{txt}
{com}. 
. gen indig=0 if selfetid~=.
{txt}(8,690 missing values generated)

{com}. recode indig 0=1 if selfetid==3
{txt}(13,878 changes made to {bf:indig})

{com}. label var indig "Indigenous"
{txt}
{com}. 
. gen black=0 if selfetid~=.
{txt}(8,690 missing values generated)

{com}. recode black 0=1 if selfetid==4
{txt}(7,859 changes made to {bf:black})

{com}. label var black "Black"
{txt}
{com}. 
. gen mulatto=0 if selfetid~=.
{txt}(8,690 missing values generated)

{com}. recode mulatto 0=1 if selfetid==5
{txt}(7,939 changes made to {bf:mulatto})

{com}. label var mulatto "Mulatto"
{txt}
{com}. 
. gen otroethn=0 if selfetid~=.
{txt}(8,690 missing values generated)

{com}. recode otroethn 0=1 if selfetid==7
{txt}(3,633 changes made to {bf:otroethn})

{com}. label var otroethn "Other ethnicity"
{txt}
{com}. 
. gen selfetid_altVen = selfetid
{txt}(19,324 missing values generated)

{com}. recode selfetid_altVen 2=7 if pais==16 & year==2008 & etid==6
{txt}(616 changes made to {bf:selfetid_altVen})

{com}. recode selfetid_altVen 2=7 if pais==16 & year==2010 & etid==6
{txt}(668 changes made to {bf:selfetid_altVen})

{com}. recode selfetid_altVen 2=7 if pais==16 & year==2012 & etid==6
{txt}(600 changes made to {bf:selfetid_altVen})

{com}. recode selfetid_altVen 2=7 if pais==16 & (year==2014 | year==2016) & etid==1606
{txt}(1,148 changes made to {bf:selfetid_altVen})

{com}. //Recodes Moreno into other category in Venezuela
. 
. gen mestizo_altVen=0 if selfetid_altVen~=.
{txt}(8,690 missing values generated)

{com}. recode mestizo_altVen 0=1 if selfetid_altVen==2
{txt}(93,091 changes made to {bf:mestizo_altVen})

{com}. label var mestizo_altVen "Mestizo, without Moreno"
{txt}
{com}. 
. gen otroethn_altVen=0 if selfetid_altVen~=.
{txt}(8,690 missing values generated)

{com}. recode otroethn_altVen 0=1 if selfetid_altVen==7
{txt}(6,665 changes made to {bf:otroethn_altVen})

{com}. label var otroethn_altVen "Other ethnicity, with Moreno"
{txt}
{com}. 
. ********Demographics**************
. 
. **Sex
. gen female = q1
{txt}(3 missing values generated)

{com}. recode female 1=0 2=1 3=0
{txt}(199,947 changes made to {bf:female})

{com}. label var female "Female"
{txt}
{com}. 
. **Age
. recode edad 11=. 14=. 15=. 101=6
{txt}(7 changes made to {bf:edad})

{com}. 
. **Education
. recode ed 19/24=18
{txt}(142 changes made to {bf:ed})

{com}. //ed --> years of schooling
. //edr --> levels of education
. 
. 
. ** Church attendance
. 
. gen cp6r = cp6
{txt}(5,444 missing values generated)

{com}. recode cp6r 4=0 3=1 1=3
{txt}(160,982 changes made to {bf:cp6r})

{com}. label var cp6r "Religious meeting attendance"
{txt}
{com}. label def cp_r 0 "Never" 3 "Once a week", replace
{txt}
{com}. label val cp6r cp_r
{txt}
{com}. 
. **Geography
. gen urban = ur
{txt}
{com}. recode urban 2=0 1=1
{txt}(61,573 changes made to {bf:urban})

{com}. label var urban "Urban"
{txt}
{com}. label def urban 0 "Rural" 1 "Urban"
{txt}
{com}. label val urban urban
{txt}
{com}. 
. **Voted for winner of most recent presidential election *****************************
. gen incum_voter = 0
{txt}
{com}. 
. //Mexico
. recode incum_voter 0 =1 if vb3==1001 & year==2006 & pais==1 //Fox (PAN)
{txt}(548 changes made to {bf:incum_voter})

{com}. recode incum_voter 0 =1 if vb3==101 & year==2008 & pais==1  //Calderon (PAN)
{txt}(460 changes made to {bf:incum_voter})

{com}. recode incum_voter 0 =1 if vb3==101 & year==2010 & pais==1  //Calderon (PAN)
{txt}(426 changes made to {bf:incum_voter})

{com}. recode incum_voter 0 =1 if vb3==101 & year==2012 & pais==1  //Calderon (PAN)
{txt}(462 changes made to {bf:incum_voter})

{com}. recode incum_voter 0 =1 if vb3==101 & year==2014 & pais==1  // Pen~a Nieto (PRI)
{txt}(479 changes made to {bf:incum_voter})

{com}. recode incum_voter 0 =1 if vb3==101 & year==2016 & pais==1  // Pen~a Nieto (PRI)
{txt}(334 changes made to {bf:incum_voter})

{com}. 
. //Guatemala 
. recode incum_voter 0 =1 if guavb3==204 & year==2004 & pais==2 //Berger (GANA)
{txt}(486 changes made to {bf:incum_voter})

{com}. recode incum_voter 0 =1 if vb3==2004 & year==2006 & pais==2 //Berger (GANA)
{txt}(370 changes made to {bf:incum_voter})

{com}. recode incum_voter 0 =1 if vb3==201 & year==2008 & pais==2  //Alvaro Colom (UNE)
{txt}(524 changes made to {bf:incum_voter})

{com}. recode incum_voter 0 =1 if vb3==201 & year==2010 & pais==2  //Alvaro Colom (UNE)
{txt}(351 changes made to {bf:incum_voter})

{com}. recode incum_voter 0 =1 if vb3==206 & year==2012 & pais==2  //Otto Perez Molina (PP)
{txt}(435 changes made to {bf:incum_voter})

{com}. recode incum_voter 0 =1 if vb3==206 & year==2014 & pais==2  //Otto Perez Molina (PP)
{txt}(443 changes made to {bf:incum_voter})

{com}. recode incum_voter 0 =1 if vb3==201 & year==2016 & pais==2  //Jimmy Morales (FCN)
{txt}(492 changes made to {bf:incum_voter})

{com}. 
. //El Salvador
. recode incum_voter 0 =1 if vb3_04==301 & year==2004 & pais==3 //Francisco Flores (ARENA)
{txt}(549 changes made to {bf:incum_voter})

{com}. recode incum_voter 0 =1 if vb3==3001 & year==2006 & pais==3 //Antonio Saca (ARENA)
{txt}(443 changes made to {bf:incum_voter})

{com}. recode incum_voter 0 =1 if vb3==301 & year==2008 & pais==3  //Antonio Saca (ARENA)
{txt}(435 changes made to {bf:incum_voter})

{com}. recode incum_voter 0 =1 if vb3==302 & year==2010 & pais==3  //Mauricio Funes (FMLN)
{txt}(687 changes made to {bf:incum_voter})

{com}. recode incum_voter 0 =1 if vb3==302 & year==2012 & pais==3  //Mauricio Funes (FMLN)
{txt}(439 changes made to {bf:incum_voter})

{com}. recode incum_voter 0 =1 if vb3==302 & year==2014 & pais==3  //FMLN, Party of Mauricio Funes (sitting president at time of survey) as well as Salvador Sanchez Ceren victor of 2nd round 2014 elections which were held 2 weeks before survey
{txt}(470 changes made to {bf:incum_voter})

{com}. recode incum_voter 0 =1 if vb3==302 & year==2016 & pais==3  //FMLN, Salvador Sanchez Ceren victor of 2nd round 2014 election
{txt}(461 changes made to {bf:incum_voter})

{com}. 
. //Honduras
. recode incum_voter 0 =1 if vb3_04==401 & year==2004 & pais==4 //Ricardo Maduro (P. Nacional), not 100% confident of coding on this
{txt}(424 changes made to {bf:incum_voter})

{com}. recode incum_voter 0 =1 if vb3==4001 & year==2006 & pais==4 //Manuel Zelaya (P. Liberal)
{txt}(674 changes made to {bf:incum_voter})

{com}. recode incum_voter 0 =1 if vb3==401 & year==2008 & pais==4  //Manuel Zelaya (P. Liberal)
{txt}(501 changes made to {bf:incum_voter})

{com}. recode incum_voter 0 =1 if vb3==404 & year==2010 & pais==4  //Pepe Lobo (P. Nacional)
{txt}(568 changes made to {bf:incum_voter})

{com}. recode incum_voter 0 =1 if vb3==404 & year==2012 & pais==4  //Pepe Lobo (P. Nacional)
{txt}(451 changes made to {bf:incum_voter})

{com}. recode incum_voter 0 =1 if vb3==401 & year==2014 & pais==4  //Juan Orlando Hernandez (P. Nacional)
{txt}(561 changes made to {bf:incum_voter})

{com}. recode incum_voter 0 =1 if vb3==401 & year==2016 & pais==4  //Juan Orlando Hernandez (P. Nacional)
{txt}(462 changes made to {bf:incum_voter})

{com}. 
. //Nicaragua
. recode incum_voter 0 =1 if vb3==5001 & year==2006 & pais==5 //Enrique Bolan~os (PLC)
{txt}(444 changes made to {bf:incum_voter})

{com}. recode incum_voter 0 =1 if vb3==502 & year==2008 & pais==5  //Daniel Ortega (FSLN)
{txt}(420 changes made to {bf:incum_voter})

{com}. recode incum_voter 0 =1 if vb3==502 & year==2010 & pais==5  //Daniel Ortega (FSLN)
{txt}(446 changes made to {bf:incum_voter})

{com}. recode incum_voter 0 =1 if vb3==502 & year==2012 & pais==5  //Daniel Ortega (FSLN)
{txt}(855 changes made to {bf:incum_voter})

{com}. recode incum_voter 0 =1 if vb3==502 & year==2014 & pais==5  //Daniel Ortega (FSLN)
{txt}(735 changes made to {bf:incum_voter})

{com}. recode incum_voter 0 =1 if vb3==502 & year==2016 & pais==5  //Daniel Ortega (FSLN)
{txt}(583 changes made to {bf:incum_voter})

{com}. 
. //Costa Rica
. recode incum_voter 0 =1 if vb3_04==601 & year==2004 & pais==6 //PUSC (Abel Pacheco)
{txt}(556 changes made to {bf:incum_voter})

{com}. recode incum_voter 0 =1 if vb3==6002 & year==2006 & pais==6 //Oscar Arias (PLN)
{txt}(456 changes made to {bf:incum_voter})

{com}. recode incum_voter 0 =1 if vb3==602 & year==2008 & pais==6  //Oscar Arias (PLN)
{txt}(537 changes made to {bf:incum_voter})

{com}. recode incum_voter 0 =1 if vb3==602 & year==2010 & pais==6  //Oscar Arias (PLN)
{txt}(431 changes made to {bf:incum_voter})

{com}. recode incum_voter 0 =1 if vb3==602 & year==2012 & pais==6  //Laura Chinchilla (PLN)
{txt}(577 changes made to {bf:incum_voter})

{com}. recode incum_voter 0 =1 if vb3==602 & year==2014 & pais==6  //PLN (Johnny Araya), party of Laura Chinchilla, who was sitting president at the time of the survey, although Luis Guillermo Solis won the presidential election while the survey was in the field and assumed office two days after completion of the survey
{txt}(307 changes made to {bf:incum_voter})

{com}. recode incum_voter 0 =1 if vb3==603 & year==2016 & pais==6  //PAC (Luis Guillermo Solis)
{txt}(422 changes made to {bf:incum_voter})

{com}. 
. //Panama
. recode incum_voter 0 =1 if vb3==7003 & year==2006 & pais==7 //Martin Torrijos (PRD)
{txt}(711 changes made to {bf:incum_voter})

{com}. recode incum_voter 0 =1 if vb3== 703 & year==2008 & pais==7 //Martin Torrijos (PRD)
{txt}(556 changes made to {bf:incum_voter})

{com}. recode incum_voter 0 =1 if vb3== 702 & year==2010 & pais==7 //Ricardo Martinelli (Cambio Democratico)
{txt}(699 changes made to {bf:incum_voter})

{com}. recode incum_voter 0 =1 if vb3== 702 & year==2012 & pais==7 //Ricardo Martinelli (Cambio Democratico)
{txt}(510 changes made to {bf:incum_voter})

{com}. recode incum_voter 0 =1 if vb3== 702 & year==2014 & pais==7 //Ricardo Martinelli (Cambio Democratico)
{txt}(506 changes made to {bf:incum_voter})

{com}. recode incum_voter 0 =1 if vb3== 701 & year==2016 & pais==7 //Juan Carlos Varela (PAN)
{txt}(425 changes made to {bf:incum_voter})

{com}. 
. //Colombia
. recode incum_voter 0 =1 if vb3==8003 & year==2006 & pais==8 //Alvaro Uribe (Partido de la U)
{txt}(611 changes made to {bf:incum_voter})

{com}. recode incum_voter 0 =1 if vb3== 803 & year==2008 & pais==8 //Alvaro Uribe (Partido de la U)
{txt}(697 changes made to {bf:incum_voter})

{com}. recode incum_voter 0 =1 if vb3== 803 & year==2010 & pais==8 //Alvaro Uribe (Partido de la U)
{txt}(601 changes made to {bf:incum_voter})

{com}. recode incum_voter 0 =1 if vb3== 804 & year==2012 & pais==8 //Juan Manuel Santos (PSUN)
{txt}(557 changes made to {bf:incum_voter})

{com}. recode incum_voter 0 =1 if vb3== 804 & year==2014 & pais==8 //Juan Manuel Santos (PSUN)
{txt}(516 changes made to {bf:incum_voter})

{com}. recode incum_voter 0 =1 if vb3== 804 & year==2016 & pais==8 //Juan Manuel Santos (PSUN)
{txt}(517 changes made to {bf:incum_voter})

{com}. 
. //Ecuador
. recode incum_voter 0 =1 if vb3_04==901 & year==2004 & pais==9 //Gutierrez (PSP)
{txt}(1,010 changes made to {bf:incum_voter})

{com}. recode incum_voter 0 =1 if vb3==9001 & year==2006 & pais==9 //9001=Gutierrez (PSP), victor of the 2002 election. But in 2006, Palacio was President who ascended to presidency after Gutierrez was removed (same coalition)
{txt}(1,218 changes made to {bf:incum_voter})

{com}. recode incum_voter 0 =1 if vb3== 901 & year==2008 & pais==9 //Rafael Correa (PAIS)
{txt}(1,793 changes made to {bf:incum_voter})

{com}. recode incum_voter 0 =1 if vb3== 901 & year==2010 & pais==9 //Rafael Correa (PAIS)
{txt}(1,752 changes made to {bf:incum_voter})

{com}. recode incum_voter 0 =1 if vb3== 901 & year==2012 & pais==9 //Rafael Correa (PAIS)
{txt}(802 changes made to {bf:incum_voter})

{com}. recode incum_voter 0 =1 if vb3== 901 & year==2014 & pais==9 //Rafael Correa (PAIS)
{txt}(902 changes made to {bf:incum_voter})

{com}. recode incum_voter 0 =1 if vb3== 901 & year==2016 & pais==9 //Rafael Correa (PAIS)
{txt}(778 changes made to {bf:incum_voter})

{com}. 
. // Bolivia
. recode incum_voter 0 =1 if vb3==10002 & year==2006 & pais==10 //Evo Morales (MAS)
{txt}(926 changes made to {bf:incum_voter})

{com}. recode incum_voter 0 =1 if vb3== 1002 & year==2008 & pais==10 //Evo Morales (MAS)
{txt}(940 changes made to {bf:incum_voter})

{com}. recode incum_voter 0 =1 if vb3== 1002 & year==2010 & pais==10 //Evo Morales (MAS)
{txt}(1,267 changes made to {bf:incum_voter})

{com}. recode incum_voter 0 =1 if vb3== 1002 & year==2012 & pais==10 //Evo Morales (MAS)
{txt}(1,013 changes made to {bf:incum_voter})

{com}. recode incum_voter 0 =1 if vb3== 1002 & year==2014 & pais==10 //Evo Morales (MAS)
{txt}(1,163 changes made to {bf:incum_voter})

{com}. recode incum_voter 0 =1 if vb3== 1001 & year==2016 & pais==10 //Evo Morales (MAS) - this is right, coding changed
{txt}(679 changes made to {bf:incum_voter})

{com}. 
. //Peru
. recode incum_voter 0 =1 if vb3==11002 & year==2006 & pais==11 //Alan Garcia (APRA)
{txt}(348 changes made to {bf:incum_voter})

{com}. recode incum_voter 0 =1 if vb3== 1102 & year==2008 & pais==11 //Alan Garcia (APRA)
{txt}(409 changes made to {bf:incum_voter})

{com}. *recode incum_voter 0 =1 if vb3== & year==2010 & pais==11
. recode incum_voter 0 =1 if vb3==1101 & year==2012 & pais==11  //Ollanta Humala (Gana Peru)
{txt}(571 changes made to {bf:incum_voter})

{com}. recode incum_voter 0 =1 if vb3==1101 & year==2014 & pais==11  //Ollanta Humala (Gana Peru)
{txt}(525 changes made to {bf:incum_voter})

{com}. recode incum_voter 0 =1 if vb3==1101 & year==2016 & pais==11  //Pedro Pablo Kuczynski (Peruanos por el Kambio) 
{txt}(832 changes made to {bf:incum_voter})

{com}. 
. //Paraguay
. recode incum_voter 0 =1 if vb3==12001 & year==2006 & pais==12 //Nicanor Duarte (Colorado)
{txt}(384 changes made to {bf:incum_voter})

{com}. recode incum_voter 0 =1 if vb3== 1201 & year==2008 & pais==12 //Nicanor Duarte (Colorado)
{txt}(374 changes made to {bf:incum_voter})

{com}. recode incum_voter 0 =1 if vb3== 1201 & year==2010 & pais==12 //Fernando Lugo (APC)
{txt}(556 changes made to {bf:incum_voter})

{com}. recode incum_voter 0 =1 if vb3== 1201 & year==2012 & pais==12 //Fernando Lugo (APC)
{txt}(502 changes made to {bf:incum_voter})

{com}. recode incum_voter 0 =1 if vb3== 1201 & year==2014 & pais==12 //Horacio Cartes (ANR)
{txt}(620 changes made to {bf:incum_voter})

{com}. recode incum_voter 0 =1 if vb3== 1201 & year==2016 & pais==12 //Horacio Cartes (ANR)
{txt}(433 changes made to {bf:incum_voter})

{com}. 
. //Chile
. recode incum_voter 0 =1 if vb3==13001 & year==2006 & pais==13 //Michelle Bachellet (PS)
{txt}(536 changes made to {bf:incum_voter})

{com}. recode incum_voter 0 =1 if vb3== 1301 & year==2008 & pais==13 //Michelle Bachellet (PS)
{txt}(511 changes made to {bf:incum_voter})

{com}. recode incum_voter 0 =1 if vb3== 1302 & year==2010 & pais==13 //Sebastian Pin~era (RN)
{txt}(444 changes made to {bf:incum_voter})

{com}. recode incum_voter 0 =1 if vb3== 1302 & year==2012 & pais==13 //Sebastian Pin~era (RN)
{txt}(351 changes made to {bf:incum_voter})

{com}. recode incum_voter 0 =1 if vb3== 1305 & year==2014 & pais==13 //Michelle Bachellet (PS) -- had just assumed presidency
{txt}(556 changes made to {bf:incum_voter})

{com}. recode incum_voter 0 =1 if vb3== 1305 & year==2016 & pais==13 //Michelle Bachellet (PS)
{txt}(395 changes made to {bf:incum_voter})

{com}. 
. //Uruguay
. recode incum_voter 0 =1 if vb3==1401 & year==2006 & pais==14 //Tabare Vasquez (FA)
{txt}(564 changes made to {bf:incum_voter})

{com}. recode incum_voter 0 =1 if vb3==1401 & year==2008 & pais==14 //Tabare Vasquez (FA)
{txt}(735 changes made to {bf:incum_voter})

{com}. recode incum_voter 0 =1 if vb3==1401 & year==2010 & pais==14 //Jose Mujica (FA)
{txt}(798 changes made to {bf:incum_voter})

{com}. recode incum_voter 0 =1 if vb3==1401 & year==2012 & pais==14 //Jose Mujica (FA)
{txt}(700 changes made to {bf:incum_voter})

{com}. recode incum_voter 0 =1 if vb3==1401 & year==2014 & pais==14 //Jose Mujica (FA)
{txt}(659 changes made to {bf:incum_voter})

{com}. recode incum_voter 0 =1 if vb3==1401 & year==2016 & pais==14 //TabarÃ© VÃ¡zquez (FA)
{txt}(642 changes made to {bf:incum_voter})

{com}. 
. //Brazil
. *recode incum_voter 0 =1 if vb3== & year==2006 & pais==15 
. recode incum_voter 0 =1 if vb3==1501 & year==2008 & pais==15 //Lula (PT)
{txt}(836 changes made to {bf:incum_voter})

{com}. recode incum_voter 0 =1 if vb3==1501 & year==2010 & pais==15 //Lula (PT)
{txt}(1,473 changes made to {bf:incum_voter})

{com}. recode incum_voter 0 =1 if vb3==1 & year==2012 & pais==15    //Dilma (PT)
{txt}(738 changes made to {bf:incum_voter})

{com}. recode incum_voter 0 =1 if vb3==1501 & year==2014 & pais==15 //Dilma (PT)
{txt}(707 changes made to {bf:incum_voter})

{com}. recode incum_voter 0 =1 if vb3==1501 & year==2016 & pais==15 //Dilma (PT)
{txt}(519 changes made to {bf:incum_voter})

{com}. 
. //Venezuela
. recode incum_voter 0 =1 if vb3==1601 & year==2006 & pais==16 //Hugo Chavez (PSUV)
{txt}(743 changes made to {bf:incum_voter})

{com}. recode incum_voter 0 =1 if vb3==1601 & year==2008 & pais==16 //Hugo Chavez (PSUV)
{txt}(643 changes made to {bf:incum_voter})

{com}. recode incum_voter 0 =1 if vb3==1601 & year==2010 & pais==16 //Hugo Chavez (PSUV)
{txt}(531 changes made to {bf:incum_voter})

{com}. recode incum_voter 0 =1 if vb3==1601 & year==2012 & pais==16 //Hugo Chavez (PSUV)
{txt}(606 changes made to {bf:incum_voter})

{com}. recode incum_voter 0 =1 if vb3==1601 & year==2014 & pais==16 //Nicolas Maduro (PSUV)
{txt}(446 changes made to {bf:incum_voter})

{com}. recode incum_voter 0 =1 if vb3==1601 & year==2016 & pais==16 //Nicolas Maduro (PSUV)
{txt}(381 changes made to {bf:incum_voter})

{com}. 
. //Argentina
. *recode incum_voter 0 =1 if vb3== & year==2006 & pais==17 
. recode incum_voter 0 =1 if vb3==1701 & year==2008 & pais==17 //Christina Fernandez (FPV)
{txt}(331 changes made to {bf:incum_voter})

{com}. recode incum_voter 0 =1 if vb3==1701 & year==2010 & pais==17 //Christina Fernandez (FPV)
{txt}(310 changes made to {bf:incum_voter})

{com}. recode incum_voter 0 =1 if vb3==1701 & year==2012 & pais==17 //Christina Fernandez (FPV)
{txt}(740 changes made to {bf:incum_voter})

{com}. recode incum_voter 0 =1 if vb3==1701 & year==2014 & pais==17 //Christina Fernandez (FPV)
{txt}(503 changes made to {bf:incum_voter})

{com}. recode incum_voter 0 =1 if vb3==1701 & year==2016 & pais==17 //Mauricio Macri (Cambiemos)
{txt}(400 changes made to {bf:incum_voter})

{com}. 
. // Dominican Republic
. recode incum_voter 0 =1 if vb3==21001 & year==2006 & pais==21 // Leonel Fernandez (PLD)
{txt}(664 changes made to {bf:incum_voter})

{com}. recode incum_voter 0 =1 if vb3==2101  & year==2008 & pais==21 // Leonel Fernandez (PLD) 
{txt}(651 changes made to {bf:incum_voter})

{com}. recode incum_voter 0 =1 if vb3==2101 & year==2010 & pais==21  // Leonel Fernandez (PLD)
{txt}(745 changes made to {bf:incum_voter})

{com}. recode incum_voter 0 =1 if vb3==2101 & year==2012 & pais==21  // Leonel Fernandez (PLD)
{txt}(593 changes made to {bf:incum_voter})

{com}. recode incum_voter 0 =1 if vb3==2101 & year==2014 & pais==21  //Danilo Medina (PLD)
{txt}(748 changes made to {bf:incum_voter})

{com}. recode incum_voter 0 =1 if vb3==2101 & year==2016 & pais==21  //Danilo Medina (PLD)
{txt}(834 changes made to {bf:incum_voter})

{com}. 
. label var incum_voter "Voted for Incumbent"
{txt}
{com}. label de incum_voter 1 "Yes" 0 "No"
{txt}
{com}. 
. **Economic evaluations
. gen soct2r = soct2
{txt}(20,129 missing values generated)

{com}. recode soct2r 1=3 3=1
{txt}(106,951 changes made to {bf:soct2r})

{com}. label var soct2r "Sociotropic Economic Evaluations"
{txt}
{com}. label def soct2r 1 "Peor" 2 "Igual" 3 "Mejor"
{txt}
{com}. label val soct2r soct2r
{txt}
{com}. 
. 
. ***Calculating Quintile Ratios using Weighted Wellbeing derived from ownership of household goods***
. ***Following factor analysis approach to weighting value of household goods
. 
. ssc install sumdist, all replace
{txt}checking {hilite:sumdist} consistency and verifying not already installed...
all files already exist and are up to date.

{com}. 
. gen quintiles=.
{txt}(199,950 missing values generated)

{com}. gen wealthscoresquin=.
{txt}(199,950 missing values generated)

{com}. 
. #delimit ;
{txt}delimiter now ;
{com}. local yearlist "
> 2006
> 2008
> 2010
> 2012
> 2014
> 2016
> " ;
{txt}
{com}. local countrylist "
> 1
> 2
> 3
> 4
> 5
> 6
> 7
> 8
> 9
> 10
> 11
> 12
> 13
> 14
> 15
> 16
> 21
> " ;
{txt}
{com}. #delimit cr
{txt}delimiter now cr
{com}. 
. foreach country of local countrylist {c -(}
{txt}  2{com}. 
. foreach year of local yearlist {c -(}
{txt}  3{com}. 
. display "Now calculating `country'_`year'"
{txt}  4{com}. pca   r1 r3 r4 r4a r5 r6 r7 r8 r12 r14 r15 if pais==`country' & year==`year'
{txt}  5{com}. predict  f1`country'`year' if pais==`country' & year==`year'
{txt}  6{com}. sumdist f1`country'`year',  n(5) qgp(quint`country'`year')
{txt}  7{com}. replace quintiles=quint`country'`year' if pais==`country' & year==`year'
{txt}  8{com}. replace wealthscoresquin=f1`country'`year' if pais==`country' & year==`year'
{txt}  9{com}. 
. {c )-}
{txt} 10{com}. {c )-}
Now calculating 1_2006

{txt}Principal components/correlation{col 50}Number of obs    = {res}     1,560
{col 50}{txt}Number of comp.  = {res}        11
{col 50}{txt}Trace            {col 67}=  {res}       11
{col 5}{txt}Rotation: (unrotated = principal){col 50}Rho              = {res}    1.0000

{txt}{col 5}{hline 13}{c TT}{hline 60}
{col 5}   Component {c |}   Eigenvalue   Difference         Proportion   Cumulative
{col 5}{hline 13}{c +}{hline 60}
{col 5}{ralign 12:Comp1} {c |}{res}      3.48207      2.18827             0.3166       0.3166
{txt}{col 5}{ralign 12:Comp2} {c |}{res}       1.2938       .34447             0.1176       0.4342
{txt}{col 5}{ralign 12:Comp3} {c |}{res}      .949334     .0601335             0.0863       0.5205
{txt}{col 5}{ralign 12:Comp4} {c |}{res}        .8892       .11598             0.0808       0.6013
{txt}{col 5}{ralign 12:Comp5} {c |}{res}       .77322     .0436338             0.0703       0.6716
{txt}{col 5}{ralign 12:Comp6} {c |}{res}      .729587     .0995775             0.0663       0.7379
{txt}{col 5}{ralign 12:Comp7} {c |}{res}      .630009     .0149825             0.0573       0.7952
{txt}{col 5}{ralign 12:Comp8} {c |}{res}      .615027     .0537638             0.0559       0.8511
{txt}{col 5}{ralign 12:Comp9} {c |}{res}      .561263     .0180259             0.0510       0.9021
{txt}{col 5}{ralign 12:Comp10} {c |}{res}      .543237    .00999079             0.0494       0.9515
{txt}{col 5}{ralign 12:Comp11} {c |}{res}      .533246            .             0.0485       1.0000
{txt}{col 5}{hline 13}{c BT}{hline 60}

Principal components (eigenvectors) 

{space 4}{hline 13}{c  TT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp1}{space 1}{space 1}{ralign 8:Comp2}{space 1}{space 1}{ralign 8:Comp3}{space 1}{space 1}{ralign 8:Comp4}{space 1}{space 1}{ralign 8:Comp5}{space 1}{space 1}{ralign 8:Comp6}{space 1}{space 1}{ralign 8:Comp7}{space 1}{space 1}{ralign 8:Comp8}{space 1}{space 1}{ralign 8:Comp9}{space 1}{space 1}{ralign 8:Comp10}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1950}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4344}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2607}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5201}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5685}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0132}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2904}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0922}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0033}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0977}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3158}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3396}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0627}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2727}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2243}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0910}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6385}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0838}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2152}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4316}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3548}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0559}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0351}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1187}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3495}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4523}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0072}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3904}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3526}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4716}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3178}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2565}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1012}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0437}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1797}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.7119}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0656}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1099}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3773}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3503}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3046}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3067}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1909}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0703}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3181}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4759}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1367}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6464}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0205}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0541}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3674}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0820}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0395}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1759}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3847}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1543}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1689}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1066}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5164}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2300}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3547}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2282}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0403}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0891}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2510}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0718}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5828}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0821}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0942}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5425}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0827}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3359}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.9196}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1445}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0005}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0474}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0962}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0328}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0110}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0152}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2628}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3819}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0165}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6153}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1510}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1360}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2184}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0203}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3437}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1298}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3333}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2830}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0164}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4405}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0206}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0566}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1386}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0658}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4599}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1429}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3079}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3680}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1753}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0421}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3696}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0271}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2015}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.6150}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2850}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2671}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}

{space 4}{hline 13}{c  TT}{hline 10}{c  TT}{hline 13}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp11}{space 1}{c |}{space 1}{ralign 11:Unexplained}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{c   +}{hline 13}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0953}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0270}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.1722}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0205}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0652}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.5427}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.3079}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0282}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.4264}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.5962}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1687}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{c  BT}{hline 13}
{txt}({bf:score} assumed)
(10 components skipped)

Scoring coefficients 
{col 5}sum of squares(column-loading) = 1

{space 4}{hline 13}{c  TT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp1}{space 1}{space 1}{ralign 8:Comp2}{space 1}{space 1}{ralign 8:Comp3}{space 1}{space 1}{ralign 8:Comp4}{space 1}{space 1}{ralign 8:Comp5}{space 1}{space 1}{ralign 8:Comp6}{space 1}{space 1}{ralign 8:Comp7}{space 1}{space 1}{ralign 8:Comp8}{space 1}{space 1}{ralign 8:Comp9}{space 1}{space 1}{ralign 8:Comp10}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1950}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4344}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2607}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5201}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5685}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0132}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2904}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0922}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0033}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0977}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3158}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3396}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0627}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2727}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2243}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0910}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6385}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0838}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2152}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4316}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3548}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0559}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0351}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1187}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3495}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4523}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0072}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3904}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3526}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4716}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3178}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2565}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1012}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0437}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1797}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.7119}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0656}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1099}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3773}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3503}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3046}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3067}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1909}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0703}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3181}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4759}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1367}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6464}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0205}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0541}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3674}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0820}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0395}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1759}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3847}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1543}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1689}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1066}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5164}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2300}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3547}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2282}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0403}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0891}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2510}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0718}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5828}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0821}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0942}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5425}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0827}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3359}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.9196}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1445}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0005}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0474}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0962}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0328}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0110}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0152}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2628}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3819}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0165}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6153}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1510}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1360}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2184}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0203}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3437}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1298}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3333}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2830}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0164}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4405}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0206}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0566}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1386}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0658}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4599}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1429}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3079}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3680}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1753}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0421}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3696}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0271}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2015}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.6150}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2850}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2671}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}

{space 4}{hline 13}{c  TT}{hline 10}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp11}{space 1}
{space 4}{hline 13}{c   +}{hline 10}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0953}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0270}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.1722}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0205}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0652}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.5427}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.3079}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0282}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.4264}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.5962}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1687}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}
 
Warning: f112006 has 765 values < 0. Used in calculations
 
Distributional summary statistics, 5 quantile groups

{hline 10}{c TT}{hline 64}
Quantile  {c |}
group     {c |}    Quantile  % of median     Share, %      L(p), %        GL(p)
{hline 10}{c +}{hline 64}
        1 {c |}      {res}-1.568     -665.228   -1.983e+10   -1.983e+10       -0.565
        {txt}2 {c |}      {res}-0.190      -80.680   -6.485e+09   -2.631e+10       -0.749
        {txt}3 {c |}       {res}0.657      278.741    1.582e+09   -2.473e+10       -0.704
        {txt}4 {c |}       {res}1.758      745.666    9.319e+09   -1.541e+10       -0.439
        {txt}5 {c |}            {res}                 1.541e+10      100.000        0.000
{txt}{hline 10}{c BT}{hline 64}
Share = quantile group share of total f112006; 
L(p)=cumulative group share; GL(p)=L(p)*mean(f112006)
(1,560 real changes made)
(1,560 real changes made)
Now calculating 1_2008

Principal components/correlation{col 50}Number of obs    = {res}     1,559
{col 50}{txt}Number of comp.  = {res}        11
{col 50}{txt}Trace            {col 67}=  {res}       11
{col 5}{txt}Rotation: (unrotated = principal){col 50}Rho              = {res}    1.0000

{txt}{col 5}{hline 13}{c TT}{hline 60}
{col 5}   Component {c |}   Eigenvalue   Difference         Proportion   Cumulative
{col 5}{hline 13}{c +}{hline 60}
{col 5}{ralign 12:Comp1} {c |}{res}      3.33887      2.06272             0.3035       0.3035
{txt}{col 5}{ralign 12:Comp2} {c |}{res}      1.27616      .216521             0.1160       0.4195
{txt}{col 5}{ralign 12:Comp3} {c |}{res}      1.05963      .131058             0.0963       0.5159
{txt}{col 5}{ralign 12:Comp4} {c |}{res}      .928576      .166211             0.0844       0.6003
{txt}{col 5}{ralign 12:Comp5} {c |}{res}      .762364     .0445932             0.0693       0.6696
{txt}{col 5}{ralign 12:Comp6} {c |}{res}      .717771     .0610666             0.0653       0.7349
{txt}{col 5}{ralign 12:Comp7} {c |}{res}      .656704     .0310971             0.0597       0.7946
{txt}{col 5}{ralign 12:Comp8} {c |}{res}      .625607     .0417626             0.0569       0.8514
{txt}{col 5}{ralign 12:Comp9} {c |}{res}      .583845     .0366086             0.0531       0.9045
{txt}{col 5}{ralign 12:Comp10} {c |}{res}      .547236     .0440022             0.0497       0.9543
{txt}{col 5}{ralign 12:Comp11} {c |}{res}      .503234            .             0.0457       1.0000
{txt}{col 5}{hline 13}{c BT}{hline 60}

Principal components (eigenvectors) 

{space 4}{hline 13}{c  TT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp1}{space 1}{space 1}{ralign 8:Comp2}{space 1}{space 1}{ralign 8:Comp3}{space 1}{space 1}{ralign 8:Comp4}{space 1}{space 1}{ralign 8:Comp5}{space 1}{space 1}{ralign 8:Comp6}{space 1}{space 1}{ralign 8:Comp7}{space 1}{space 1}{ralign 8:Comp8}{space 1}{space 1}{ralign 8:Comp9}{space 1}{space 1}{ralign 8:Comp10}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1955}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3789}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5759}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1639}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2337}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4415}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2651}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3458}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0351}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0204}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2947}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3377}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3524}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0634}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2800}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0578}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3842}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5987}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1063}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2672}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3552}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0127}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0208}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0992}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5175}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0174}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5551}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1915}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2417}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4381}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3175}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2416}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1225}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0419}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.7034}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0986}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1121}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4160}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1585}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1675}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3224}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3316}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0174}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1603}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0701}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4372}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5701}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1413}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3281}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2438}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3507}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1045}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1329}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1095}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0097}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.6147}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0882}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4578}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4140}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2570}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3709}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1823}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0343}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1839}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0519}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2813}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0236}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1470}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.7357}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2078}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1353}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3262}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0020}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.9167}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0822}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1232}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0085}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0276}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0187}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0155}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2540}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3484}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5859}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0618}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2620}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0740}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1287}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1348}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1328}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2242}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2999}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3964}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3946}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1739}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0096}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1170}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2149}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1961}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2067}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2442}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3327}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3807}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1027}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1075}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1456}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3305}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2554}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0601}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1513}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6552}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}

{space 4}{hline 13}{c  TT}{hline 10}{c  TT}{hline 13}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp11}{space 1}{c |}{space 1}{ralign 11:Unexplained}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{c   +}{hline 13}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1365}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0198}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0093}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.2841}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2280}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0600}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3251}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1075}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.5387}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.6052}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.2661}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{c  BT}{hline 13}
{txt}({bf:score} assumed)
(10 components skipped)

Scoring coefficients 
{col 5}sum of squares(column-loading) = 1

{space 4}{hline 13}{c  TT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp1}{space 1}{space 1}{ralign 8:Comp2}{space 1}{space 1}{ralign 8:Comp3}{space 1}{space 1}{ralign 8:Comp4}{space 1}{space 1}{ralign 8:Comp5}{space 1}{space 1}{ralign 8:Comp6}{space 1}{space 1}{ralign 8:Comp7}{space 1}{space 1}{ralign 8:Comp8}{space 1}{space 1}{ralign 8:Comp9}{space 1}{space 1}{ralign 8:Comp10}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1955}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3789}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5759}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1639}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2337}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4415}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2651}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3458}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0351}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0204}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2947}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3377}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3524}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0634}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2800}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0578}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3842}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5987}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1063}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2672}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3552}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0127}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0208}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0992}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5175}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0174}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5551}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1915}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2417}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4381}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3175}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2416}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1225}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0419}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.7034}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0986}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1121}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4160}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1585}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1675}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3224}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3316}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0174}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1603}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0701}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4372}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5701}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1413}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3281}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2438}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3507}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1045}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1329}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1095}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0097}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.6147}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0882}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4578}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4140}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2570}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3709}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1823}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0343}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1839}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0519}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2813}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0236}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1470}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.7357}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2078}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1353}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3262}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0020}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.9167}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0822}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1232}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0085}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0276}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0187}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0155}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2540}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3484}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5859}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0618}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2620}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0740}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1287}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1348}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1328}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2242}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2999}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3964}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3946}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1739}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0096}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1170}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2149}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1961}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2067}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2442}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3327}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3807}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1027}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1075}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1456}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3305}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2554}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0601}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1513}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6552}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}

{space 4}{hline 13}{c  TT}{hline 10}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp11}{space 1}
{space 4}{hline 13}{c   +}{hline 10}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1365}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0198}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0093}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.2841}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2280}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0600}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3251}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1075}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.5387}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.6052}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.2661}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}
 
Warning: f112008 has 754 values < 0. Used in calculations
 
Distributional summary statistics, 5 quantile groups

{hline 10}{c TT}{hline 64}
Quantile  {c |}
group     {c |}    Quantile  % of median     Share, %      L(p), %        GL(p)
{hline 10}{c +}{hline 64}
        1 {c |}      {res}-1.705     -978.998   -1.988e+10   -1.988e+10       -0.560
        {txt}2 {c |}      {res}-0.286     -164.079   -5.910e+09   -2.579e+10       -0.726
        {txt}3 {c |}       {res}0.535      307.432    1.246e+09   -2.454e+10       -0.691
        {txt}4 {c |}       {res}1.630      936.029    7.912e+09   -1.663e+10       -0.468
        {txt}5 {c |}            {res}                 1.663e+10      100.000        0.000
{txt}{hline 10}{c BT}{hline 64}
Share = quantile group share of total f112008; 
L(p)=cumulative group share; GL(p)=L(p)*mean(f112008)
(1,559 real changes made)
(1,559 real changes made)
Now calculating 1_2010

Principal components/correlation{col 50}Number of obs    = {res}     1,562
{col 50}{txt}Number of comp.  = {res}        11
{col 50}{txt}Trace            {col 67}=  {res}       11
{col 5}{txt}Rotation: (unrotated = principal){col 50}Rho              = {res}    1.0000

{txt}{col 5}{hline 13}{c TT}{hline 60}
{col 5}   Component {c |}   Eigenvalue   Difference         Proportion   Cumulative
{col 5}{hline 13}{c +}{hline 60}
{col 5}{ralign 12:Comp1} {c |}{res}      3.26172      2.07805             0.2965       0.2965
{txt}{col 5}{ralign 12:Comp2} {c |}{res}      1.18367      .147034             0.1076       0.4041
{txt}{col 5}{ralign 12:Comp3} {c |}{res}      1.03664      .101865             0.0942       0.4984
{txt}{col 5}{ralign 12:Comp4} {c |}{res}      .934772     .0365421             0.0850       0.5833
{txt}{col 5}{ralign 12:Comp5} {c |}{res}       .89823      .137543             0.0817       0.6650
{txt}{col 5}{ralign 12:Comp6} {c |}{res}      .760687      .103851             0.0692       0.7342
{txt}{col 5}{ralign 12:Comp7} {c |}{res}      .656836     .0435023             0.0597       0.7939
{txt}{col 5}{ralign 12:Comp8} {c |}{res}      .613334     .0417563             0.0558       0.8496
{txt}{col 5}{ralign 12:Comp9} {c |}{res}      .571578      .022542             0.0520       0.9016
{txt}{col 5}{ralign 12:Comp10} {c |}{res}      .549036     .0155408             0.0499       0.9515
{txt}{col 5}{ralign 12:Comp11} {c |}{res}      .533495            .             0.0485       1.0000
{txt}{col 5}{hline 13}{c BT}{hline 60}

Principal components (eigenvectors) 

{space 4}{hline 13}{c  TT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp1}{space 1}{space 1}{ralign 8:Comp2}{space 1}{space 1}{ralign 8:Comp3}{space 1}{space 1}{ralign 8:Comp4}{space 1}{space 1}{ralign 8:Comp5}{space 1}{space 1}{ralign 8:Comp6}{space 1}{space 1}{ralign 8:Comp7}{space 1}{space 1}{ralign 8:Comp8}{space 1}{space 1}{ralign 8:Comp9}{space 1}{space 1}{ralign 8:Comp10}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1560}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3254}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6341}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3378}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2747}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4780}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1100}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1472}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1135}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0303}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3027}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2120}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4071}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0812}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1593}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5375}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2383}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4649}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1658}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2577}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3554}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0256}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0676}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1953}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4092}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2936}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4132}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1396}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1173}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0963}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2584}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2988}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0185}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0187}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.7469}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2874}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1613}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0194}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0705}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1495}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3298}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3457}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0188}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1320}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0485}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2617}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.6281}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4889}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1026}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1189}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3665}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1253}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0569}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0161}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1556}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3679}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4461}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4794}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2749}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4206}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3859}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1412}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0143}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1406}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1817}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0493}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0617}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0170}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.8233}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1340}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1116}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3928}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1724}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.8590}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2336}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0060}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0968}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0283}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0229}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0134}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2601}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4538}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4499}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1317}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1621}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2115}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1320}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4143}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0950}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4607}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3079}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3739}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4358}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0717}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1030}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0532}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1497}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2435}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1222}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6624}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3522}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3225}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0372}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2073}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1509}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2449}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2963}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2038}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3905}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2021}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}

{space 4}{hline 13}{c  TT}{hline 10}{c  TT}{hline 13}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp11}{space 1}{c |}{space 1}{ralign 11:Unexplained}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{c   +}{hline 13}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0455}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0999}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.6029}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3861}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1577}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0749}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.2754}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0118}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.1591}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1464}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.5676}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{c  BT}{hline 13}
{txt}({bf:score} assumed)
(10 components skipped)

Scoring coefficients 
{col 5}sum of squares(column-loading) = 1

{space 4}{hline 13}{c  TT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp1}{space 1}{space 1}{ralign 8:Comp2}{space 1}{space 1}{ralign 8:Comp3}{space 1}{space 1}{ralign 8:Comp4}{space 1}{space 1}{ralign 8:Comp5}{space 1}{space 1}{ralign 8:Comp6}{space 1}{space 1}{ralign 8:Comp7}{space 1}{space 1}{ralign 8:Comp8}{space 1}{space 1}{ralign 8:Comp9}{space 1}{space 1}{ralign 8:Comp10}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1560}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3254}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6341}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3378}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2747}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4780}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1100}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1472}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1135}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0303}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3027}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2120}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4071}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0812}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1593}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5375}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2383}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4649}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1658}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2577}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3554}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0256}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0676}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1953}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4092}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2936}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4132}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1396}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1173}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0963}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2584}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2988}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0185}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0187}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.7469}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2874}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1613}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0194}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0705}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1495}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3298}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3457}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0188}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1320}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0485}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2617}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.6281}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4889}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1026}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1189}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3665}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1253}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0569}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0161}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1556}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3679}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4461}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4794}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2749}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4206}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3859}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1412}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0143}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1406}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1817}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0493}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0617}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0170}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.8233}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1340}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1116}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3928}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1724}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.8590}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2336}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0060}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0968}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0283}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0229}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0134}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2601}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4538}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4499}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1317}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1621}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2115}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1320}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4143}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0950}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4607}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3079}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3739}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4358}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0717}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1030}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0532}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1497}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2435}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1222}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6624}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3522}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3225}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0372}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2073}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1509}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2449}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2963}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2038}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3905}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2021}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}

{space 4}{hline 13}{c  TT}{hline 10}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp11}{space 1}
{space 4}{hline 13}{c   +}{hline 10}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0455}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0999}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.6029}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3861}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1577}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0749}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.2754}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0118}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.1591}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1464}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.5676}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}
 
Warning: f112010 has 733 values < 0. Used in calculations
 
Distributional summary statistics, 5 quantile groups

{hline 10}{c TT}{hline 64}
Quantile  {c |}
group     {c |}    Quantile  % of median     Share, %      L(p), %        GL(p)
{hline 10}{c +}{hline 64}
        1 {c |}      {res}-1.720     -830.228    9.145e+09    9.145e+09       -0.544
        {txt}2 {c |}      {res}-0.442     -213.610    3.096e+09    1.224e+10       -0.729
        {txt}3 {c |}       {res}0.697      336.637   -4.547e+08    1.179e+10       -0.702
        {txt}4 {c |}       {res}1.569      757.598   -3.871e+09    7.915e+09       -0.471
        {txt}5 {c |}            {res}                -7.915e+09      100.000       -0.000
{txt}{hline 10}{c BT}{hline 64}
Share = quantile group share of total f112010; 
L(p)=cumulative group share; GL(p)=L(p)*mean(f112010)
(1,562 real changes made)
(1,562 real changes made)
Now calculating 1_2012

Principal components/correlation{col 50}Number of obs    = {res}     1,557
{col 50}{txt}Number of comp.  = {res}        11
{col 50}{txt}Trace            {col 67}=  {res}       11
{col 5}{txt}Rotation: (unrotated = principal){col 50}Rho              = {res}    1.0000

{txt}{col 5}{hline 13}{c TT}{hline 60}
{col 5}   Component {c |}   Eigenvalue   Difference         Proportion   Cumulative
{col 5}{hline 13}{c +}{hline 60}
{col 5}{ralign 12:Comp1} {c |}{res}      3.26886       2.0006             0.2972       0.2972
{txt}{col 5}{ralign 12:Comp2} {c |}{res}      1.26826      .297036             0.1153       0.4125
{txt}{col 5}{ralign 12:Comp3} {c |}{res}      .971227     .0407861             0.0883       0.5008
{txt}{col 5}{ralign 12:Comp4} {c |}{res}      .930441     .0585334             0.0846       0.5853
{txt}{col 5}{ralign 12:Comp5} {c |}{res}      .871907      .089214             0.0793       0.6646
{txt}{col 5}{ralign 12:Comp6} {c |}{res}      .782693      .100902             0.0712       0.7358
{txt}{col 5}{ralign 12:Comp7} {c |}{res}      .681791     .0564287             0.0620       0.7977
{txt}{col 5}{ralign 12:Comp8} {c |}{res}      .625362      .041287             0.0569       0.8546
{txt}{col 5}{ralign 12:Comp9} {c |}{res}      .584075     .0529365             0.0531       0.9077
{txt}{col 5}{ralign 12:Comp10} {c |}{res}      .531139     .0468984             0.0483       0.9560
{txt}{col 5}{ralign 12:Comp11} {c |}{res}       .48424            .             0.0440       1.0000
{txt}{col 5}{hline 13}{c BT}{hline 60}

Principal components (eigenvectors) 

{space 4}{hline 13}{c  TT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp1}{space 1}{space 1}{ralign 8:Comp2}{space 1}{space 1}{ralign 8:Comp3}{space 1}{space 1}{ralign 8:Comp4}{space 1}{space 1}{ralign 8:Comp5}{space 1}{space 1}{ralign 8:Comp6}{space 1}{space 1}{ralign 8:Comp7}{space 1}{space 1}{ralign 8:Comp8}{space 1}{space 1}{ralign 8:Comp9}{space 1}{space 1}{ralign 8:Comp10}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1665}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4199}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4848}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3318}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3679}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4953}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2056}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1269}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0615}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0262}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2995}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3438}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2568}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1465}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0259}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4874}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2408}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5531}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1412}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2874}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3326}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1763}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1078}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2871}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5334}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1257}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3080}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1792}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1326}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1284}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2889}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1499}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2787}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1683}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.7131}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1040}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2138}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1773}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0690}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1479}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3199}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3298}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0678}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0829}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0938}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2579}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.7303}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2192}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1276}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2634}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3762}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1384}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0125}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1319}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0508}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3975}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1791}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4086}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0126}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6656}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3715}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1786}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0828}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1195}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0015}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2089}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3971}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4504}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3394}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5152}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1284}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2330}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6662}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6802}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0395}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0728}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1066}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0400}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0076}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0535}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2503}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4372}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2623}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4092}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1824}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3543}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1204}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0162}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5461}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0579}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3291}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3121}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2684}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2931}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1563}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0412}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0939}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0218}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.7097}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2220}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3452}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3865}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1162}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0569}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0165}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2997}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0366}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4407}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1429}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2121}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}

{space 4}{hline 13}{c  TT}{hline 10}{c  TT}{hline 13}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp11}{space 1}{c |}{space 1}{ralign 11:Unexplained}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{c   +}{hline 13}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0854}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0055}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.5503}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.4062}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1874}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.1377}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.1553}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0106}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1867}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.2192}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.6030}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{c  BT}{hline 13}
{txt}({bf:score} assumed)
(10 components skipped)

Scoring coefficients 
{col 5}sum of squares(column-loading) = 1

{space 4}{hline 13}{c  TT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp1}{space 1}{space 1}{ralign 8:Comp2}{space 1}{space 1}{ralign 8:Comp3}{space 1}{space 1}{ralign 8:Comp4}{space 1}{space 1}{ralign 8:Comp5}{space 1}{space 1}{ralign 8:Comp6}{space 1}{space 1}{ralign 8:Comp7}{space 1}{space 1}{ralign 8:Comp8}{space 1}{space 1}{ralign 8:Comp9}{space 1}{space 1}{ralign 8:Comp10}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1665}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4199}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4848}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3318}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3679}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4953}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2056}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1269}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0615}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0262}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2995}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3438}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2568}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1465}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0259}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4874}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2408}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5531}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1412}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2874}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3326}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1763}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1078}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2871}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5334}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1257}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3080}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1792}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1326}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1284}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2889}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1499}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2787}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1683}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.7131}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1040}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2138}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1773}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0690}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1479}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3199}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3298}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0678}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0829}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0938}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2579}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.7303}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2192}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1276}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2634}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3762}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1384}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0125}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1319}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0508}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3975}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1791}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4086}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0126}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6656}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3715}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1786}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0828}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1195}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0015}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2089}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3971}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4504}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3394}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5152}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1284}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2330}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6662}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6802}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0395}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0728}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1066}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0400}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0076}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0535}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2503}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4372}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2623}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4092}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1824}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3543}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1204}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0162}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5461}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0579}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3291}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3121}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2684}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2931}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1563}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0412}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0939}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0218}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.7097}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2220}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3452}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3865}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1162}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0569}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0165}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2997}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0366}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4407}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1429}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2121}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}

{space 4}{hline 13}{c  TT}{hline 10}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp11}{space 1}
{space 4}{hline 13}{c   +}{hline 10}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0854}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0055}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.5503}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.4062}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1874}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.1377}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.1553}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0106}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1867}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.2192}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.6030}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}
 
Warning: f112012 has 696 values < 0. Used in calculations
 
Distributional summary statistics, 5 quantile groups

{hline 10}{c TT}{hline 64}
Quantile  {c |}
group     {c |}    Quantile  % of median     Share, %      L(p), %        GL(p)
{hline 10}{c +}{hline 64}
        1 {c |}      {res}-1.365     -553.842   -5.009e+09   -5.009e+09       -0.552
        {txt}2 {c |}      {res}-0.349     -141.513   -1.506e+09   -6.516e+09       -0.718
        {txt}3 {c |}       {res}0.632      256.343    3.155e+08   -6.200e+09       -0.684
        {txt}4 {c |}       {res}1.680      681.631    2.139e+09   -4.061e+09       -0.448
        {txt}5 {c |}            {res}                 4.061e+09      100.000        0.000
{txt}{hline 10}{c BT}{hline 64}
Share = quantile group share of total f112012; 
L(p)=cumulative group share; GL(p)=L(p)*mean(f112012)
(1,557 real changes made)
(1,557 real changes made)
Now calculating 1_2014

Principal components/correlation{col 50}Number of obs    = {res}     1,506
{col 50}{txt}Number of comp.  = {res}        11
{col 50}{txt}Trace            {col 67}=  {res}       11
{col 5}{txt}Rotation: (unrotated = principal){col 50}Rho              = {res}    1.0000

{txt}{col 5}{hline 13}{c TT}{hline 60}
{col 5}   Component {c |}   Eigenvalue   Difference         Proportion   Cumulative
{col 5}{hline 13}{c +}{hline 60}
{col 5}{ralign 12:Comp1} {c |}{res}      3.19081      1.91052             0.2901       0.2901
{txt}{col 5}{ralign 12:Comp2} {c |}{res}      1.28029      .289025             0.1164       0.4065
{txt}{col 5}{ralign 12:Comp3} {c |}{res}      .991264     .0203915             0.0901       0.4966
{txt}{col 5}{ralign 12:Comp4} {c |}{res}      .970872     .0757431             0.0883       0.5848
{txt}{col 5}{ralign 12:Comp5} {c |}{res}      .895129      .138799             0.0814       0.6662
{txt}{col 5}{ralign 12:Comp6} {c |}{res}       .75633     .0889201             0.0688       0.7350
{txt}{col 5}{ralign 12:Comp7} {c |}{res}       .66741     .0450706             0.0607       0.7956
{txt}{col 5}{ralign 12:Comp8} {c |}{res}      .622339     .0519521             0.0566       0.8522
{txt}{col 5}{ralign 12:Comp9} {c |}{res}      .570387     .0288692             0.0519       0.9041
{txt}{col 5}{ralign 12:Comp10} {c |}{res}      .541518     .0278653             0.0492       0.9533
{txt}{col 5}{ralign 12:Comp11} {c |}{res}      .513652            .             0.0467       1.0000
{txt}{col 5}{hline 13}{c BT}{hline 60}

Principal components (eigenvectors) 

{space 4}{hline 13}{c  TT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp1}{space 1}{space 1}{ralign 8:Comp2}{space 1}{space 1}{ralign 8:Comp3}{space 1}{space 1}{ralign 8:Comp4}{space 1}{space 1}{ralign 8:Comp5}{space 1}{space 1}{ralign 8:Comp6}{space 1}{space 1}{ralign 8:Comp7}{space 1}{space 1}{ralign 8:Comp8}{space 1}{space 1}{ralign 8:Comp9}{space 1}{space 1}{ralign 8:Comp10}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1998}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4347}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3832}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3115}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2438}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5943}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0842}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3063}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0859}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0175}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2888}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2031}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5087}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1817}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1707}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4135}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0066}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5985}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1342}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0848}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3195}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3127}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3221}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2417}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3088}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2195}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1780}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0920}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3737}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0551}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2618}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1111}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5147}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0119}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.6554}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0068}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0713}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0435}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1852}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0423}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3190}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3426}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0091}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0601}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0620}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2569}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.8090}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1462}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1741}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0315}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3650}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1092}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0676}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0031}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0085}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5158}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2057}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.6243}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1834}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3242}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3723}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2579}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0510}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0684}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0727}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1940}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3108}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1482}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.7244}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3169}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1229}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2224}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2600}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.8615}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2888}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0440}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1457}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0032}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1143}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0531}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2924}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4218}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2857}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1663}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3723}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0200}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1525}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0012}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1603}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6396}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3219}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3543}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2376}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0959}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3697}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1129}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1188}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2925}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2982}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5919}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3581}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3331}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1129}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1553}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1361}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2069}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3225}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1379}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2902}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1375}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}

{space 4}{hline 13}{c  TT}{hline 10}{c  TT}{hline 13}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp11}{space 1}{c |}{space 1}{ralign 11:Unexplained}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{c   +}{hline 13}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0774}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0068}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.5582}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.4259}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0081}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.1154}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0300}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0569}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.1740}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1294}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.6606}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{c  BT}{hline 13}
{txt}({bf:score} assumed)
(10 components skipped)

Scoring coefficients 
{col 5}sum of squares(column-loading) = 1

{space 4}{hline 13}{c  TT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp1}{space 1}{space 1}{ralign 8:Comp2}{space 1}{space 1}{ralign 8:Comp3}{space 1}{space 1}{ralign 8:Comp4}{space 1}{space 1}{ralign 8:Comp5}{space 1}{space 1}{ralign 8:Comp6}{space 1}{space 1}{ralign 8:Comp7}{space 1}{space 1}{ralign 8:Comp8}{space 1}{space 1}{ralign 8:Comp9}{space 1}{space 1}{ralign 8:Comp10}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1998}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4347}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3832}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3115}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2438}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5943}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0842}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3063}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0859}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0175}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2888}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2031}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5087}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1817}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1707}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4135}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0066}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5985}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1342}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0848}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3195}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3127}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3221}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2417}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3088}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2195}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1780}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0920}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3737}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0551}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2618}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1111}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5147}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0119}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.6554}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0068}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0713}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0435}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1852}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0423}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3190}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3426}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0091}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0601}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0620}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2569}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.8090}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1462}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1741}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0315}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3650}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1092}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0676}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0031}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0085}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5158}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2057}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.6243}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1834}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3242}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3723}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2579}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0510}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0684}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0727}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1940}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3108}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1482}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.7244}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3169}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1229}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2224}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2600}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.8615}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2888}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0440}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1457}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0032}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1143}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0531}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2924}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4218}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2857}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1663}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3723}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0200}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1525}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0012}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1603}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6396}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3219}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3543}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2376}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0959}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3697}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1129}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1188}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2925}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2982}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5919}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3581}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3331}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1129}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1553}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1361}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2069}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3225}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1379}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2902}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1375}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}

{space 4}{hline 13}{c  TT}{hline 10}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp11}{space 1}
{space 4}{hline 13}{c   +}{hline 10}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0774}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0068}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.5582}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.4259}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0081}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.1154}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0300}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0569}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.1740}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1294}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.6606}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}
 
Warning: f112014 has 673 values < 0. Used in calculations
 
Distributional summary statistics, 5 quantile groups

{hline 10}{c TT}{hline 64}
Quantile  {c |}
group     {c |}    Quantile  % of median     Share, %      L(p), %        GL(p)
{hline 10}{c +}{hline 64}
        1 {c |}      {res}-1.357     -706.573   -1.071e+10   -1.071e+10       -0.550
        {txt}2 {c |}      {res}-0.453     -235.639   -3.010e+09   -1.372e+10       -0.704
        {txt}3 {c |}       {res}0.683      355.522    6.026e+08   -1.312e+10       -0.673
        {txt}4 {c |}       {res}1.687      878.637    5.009e+09   -8.113e+09       -0.416
        {txt}5 {c |}            {res}                 8.113e+09      100.000        0.000
{txt}{hline 10}{c BT}{hline 64}
Share = quantile group share of total f112014; 
L(p)=cumulative group share; GL(p)=L(p)*mean(f112014)
(1,506 real changes made)
(1,506 real changes made)
Now calculating 1_2016

Principal components/correlation{col 50}Number of obs    = {res}     1,535
{col 50}{txt}Number of comp.  = {res}        11
{col 50}{txt}Trace            {col 67}=  {res}       11
{col 5}{txt}Rotation: (unrotated = principal){col 50}Rho              = {res}    1.0000

{txt}{col 5}{hline 13}{c TT}{hline 60}
{col 5}   Component {c |}   Eigenvalue   Difference         Proportion   Cumulative
{col 5}{hline 13}{c +}{hline 60}
{col 5}{ralign 12:Comp1} {c |}{res}      2.91029      1.77595             0.2646       0.2646
{txt}{col 5}{ralign 12:Comp2} {c |}{res}      1.13434     .0888507             0.1031       0.3677
{txt}{col 5}{ralign 12:Comp3} {c |}{res}      1.04549      .076211             0.0950       0.4627
{txt}{col 5}{ralign 12:Comp4} {c |}{res}      .969279       .02931             0.0881       0.5509
{txt}{col 5}{ralign 12:Comp5} {c |}{res}      .939969      .123151             0.0855       0.6363
{txt}{col 5}{ralign 12:Comp6} {c |}{res}      .816818      .109929             0.0743       0.7106
{txt}{col 5}{ralign 12:Comp7} {c |}{res}      .706889     .0298711             0.0643       0.7748
{txt}{col 5}{ralign 12:Comp8} {c |}{res}      .677018     .0211797             0.0615       0.8364
{txt}{col 5}{ralign 12:Comp9} {c |}{res}      .655838     .0799315             0.0596       0.8960
{txt}{col 5}{ralign 12:Comp10} {c |}{res}      .575907    .00774262             0.0524       0.9483
{txt}{col 5}{ralign 12:Comp11} {c |}{res}      .568164            .             0.0517       1.0000
{txt}{col 5}{hline 13}{c BT}{hline 60}

Principal components (eigenvectors) 

{space 4}{hline 13}{c  TT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp1}{space 1}{space 1}{ralign 8:Comp2}{space 1}{space 1}{ralign 8:Comp3}{space 1}{space 1}{ralign 8:Comp4}{space 1}{space 1}{ralign 8:Comp5}{space 1}{space 1}{ralign 8:Comp6}{space 1}{space 1}{ralign 8:Comp7}{space 1}{space 1}{ralign 8:Comp8}{space 1}{space 1}{ralign 8:Comp9}{space 1}{space 1}{ralign 8:Comp10}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1926}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1261}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6331}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2898}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3168}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5087}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0019}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2578}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1516}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0125}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3185}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1905}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2317}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2935}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1040}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5631}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4278}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1596}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1122}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4163}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3182}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0040}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4048}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3134}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2780}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2551}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2565}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4240}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1713}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3523}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2266}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1695}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4160}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1029}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.7217}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1284}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1422}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2622}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0488}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1408}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3448}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3731}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0861}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0294}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0713}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1765}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0428}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1861}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.8060}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0510}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3686}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0225}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1729}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0617}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0744}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3866}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.6077}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2254}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0237}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4362}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3835}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0844}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2002}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0908}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0885}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1214}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3289}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4823}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3922}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2688}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1205}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4754}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2156}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6219}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4642}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1190}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1552}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1060}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2221}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0243}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2307}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5699}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0463}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4392}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0592}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2839}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2598}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3256}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1329}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3711}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3164}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3963}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1094}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3581}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0841}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0940}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3908}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4665}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0338}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4451}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3730}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2538}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2659}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0103}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2147}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2088}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0857}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0812}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2462}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2846}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}

{space 4}{hline 13}{c  TT}{hline 10}{c  TT}{hline 13}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp11}{space 1}{c |}{space 1}{ralign 11:Unexplained}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{c   +}{hline 13}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.1158}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0093}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3087}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2961}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0934}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.2529}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.4561}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1063}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1181}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.1309}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.6931}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{c  BT}{hline 13}
{txt}({bf:score} assumed)
(10 components skipped)

Scoring coefficients 
{col 5}sum of squares(column-loading) = 1

{space 4}{hline 13}{c  TT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp1}{space 1}{space 1}{ralign 8:Comp2}{space 1}{space 1}{ralign 8:Comp3}{space 1}{space 1}{ralign 8:Comp4}{space 1}{space 1}{ralign 8:Comp5}{space 1}{space 1}{ralign 8:Comp6}{space 1}{space 1}{ralign 8:Comp7}{space 1}{space 1}{ralign 8:Comp8}{space 1}{space 1}{ralign 8:Comp9}{space 1}{space 1}{ralign 8:Comp10}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1926}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1261}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6331}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2898}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3168}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5087}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0019}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2578}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1516}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0125}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3185}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1905}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2317}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2935}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1040}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5631}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4278}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1596}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1122}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4163}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3182}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0040}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4048}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3134}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2780}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2551}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2565}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4240}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1713}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3523}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2266}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1695}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4160}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1029}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.7217}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1284}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1422}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2622}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0488}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1408}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3448}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3731}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0861}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0294}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0713}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1765}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0428}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1861}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.8060}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0510}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3686}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0225}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1729}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0617}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0744}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3866}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.6077}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2254}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0237}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4362}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3835}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0844}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2002}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0908}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0885}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1214}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3289}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4823}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3922}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2688}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1205}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4754}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2156}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6219}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4642}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1190}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1552}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1060}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2221}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0243}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2307}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5699}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0463}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4392}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0592}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2839}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2598}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3256}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1329}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3711}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3164}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3963}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1094}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3581}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0841}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0940}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3908}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4665}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0338}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4451}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3730}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2538}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2659}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0103}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2147}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2088}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0857}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0812}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2462}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2846}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}

{space 4}{hline 13}{c  TT}{hline 10}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp11}{space 1}
{space 4}{hline 13}{c   +}{hline 10}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.1158}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0093}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3087}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2961}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0934}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.2529}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.4561}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1063}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1181}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.1309}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.6931}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}
 
Warning: f112016 has 707 values < 0. Used in calculations
 
Distributional summary statistics, 5 quantile groups

{hline 10}{c TT}{hline 64}
Quantile  {c |}
group     {c |}    Quantile  % of median     Share, %      L(p), %        GL(p)
{hline 10}{c +}{hline 64}
        1 {c |}      {res}-1.357     -984.410   -8.538e+11   -8.538e+11       -0.508
        {txt}2 {c |}      {res}-0.380     -275.648   -2.935e+11   -1.147e+12       -0.682
        {txt}3 {c |}       {res}0.466      337.862    4.866e+10   -1.099e+12       -0.653
        {txt}4 {c |}       {res}1.552     1125.509    3.750e+11   -7.236e+11       -0.430
        {txt}5 {c |}            {res}                 7.236e+11      100.001        0.000
{txt}{hline 10}{c BT}{hline 64}
Share = quantile group share of total f112016; 
L(p)=cumulative group share; GL(p)=L(p)*mean(f112016)
(1,535 real changes made)
(1,535 real changes made)
Now calculating 2_2006

Principal components/correlation{col 50}Number of obs    = {res}     1,498
{col 50}{txt}Number of comp.  = {res}        11
{col 50}{txt}Trace            {col 67}=  {res}       11
{col 5}{txt}Rotation: (unrotated = principal){col 50}Rho              = {res}    1.0000

{txt}{col 5}{hline 13}{c TT}{hline 60}
{col 5}   Component {c |}   Eigenvalue   Difference         Proportion   Cumulative
{col 5}{hline 13}{c +}{hline 60}
{col 5}{ralign 12:Comp1} {c |}{res}      4.12099      2.67851             0.3746       0.3746
{txt}{col 5}{ralign 12:Comp2} {c |}{res}      1.44249      .546869             0.1311       0.5058
{txt}{col 5}{ralign 12:Comp3} {c |}{res}      .895616     .0787627             0.0814       0.5872
{txt}{col 5}{ralign 12:Comp4} {c |}{res}      .816853       .12626             0.0743       0.6614
{txt}{col 5}{ralign 12:Comp5} {c |}{res}      .690593     .0318929             0.0628       0.7242
{txt}{col 5}{ralign 12:Comp6} {c |}{res}        .6587     .0711014             0.0599       0.7841
{txt}{col 5}{ralign 12:Comp7} {c |}{res}      .587599     .0615173             0.0534       0.8375
{txt}{col 5}{ralign 12:Comp8} {c |}{res}      .526082     .0528984             0.0478       0.8854
{txt}{col 5}{ralign 12:Comp9} {c |}{res}      .473183     .0590352             0.0430       0.9284
{txt}{col 5}{ralign 12:Comp10} {c |}{res}      .414148     .0403996             0.0376       0.9660
{txt}{col 5}{ralign 12:Comp11} {c |}{res}      .373749            .             0.0340       1.0000
{txt}{col 5}{hline 13}{c BT}{hline 60}

Principal components (eigenvectors) 

{space 4}{hline 13}{c  TT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp1}{space 1}{space 1}{ralign 8:Comp2}{space 1}{space 1}{ralign 8:Comp3}{space 1}{space 1}{ralign 8:Comp4}{space 1}{space 1}{ralign 8:Comp5}{space 1}{space 1}{ralign 8:Comp6}{space 1}{space 1}{ralign 8:Comp7}{space 1}{space 1}{ralign 8:Comp8}{space 1}{space 1}{ralign 8:Comp9}{space 1}{space 1}{ralign 8:Comp10}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2627}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4089}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0689}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1956}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4028}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3467}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6003}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1705}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1561}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0128}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3661}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1749}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0427}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0126}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3802}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1081}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3154}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0918}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4209}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1481}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3553}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0851}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1449}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0600}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3402}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1252}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5447}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0586}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4985}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2772}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2496}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1428}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3837}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.7122}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1874}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4356}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1094}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0603}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0656}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1317}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2697}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2840}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1299}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3268}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4956}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6811}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0434}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0299}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0918}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0472}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3128}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3738}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1605}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1101}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0093}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1997}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4636}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4065}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0910}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4453}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3697}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2298}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0670}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0580}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1176}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2206}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0872}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2953}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3137}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5184}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1722}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2405}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.8504}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3877}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0559}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1536}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0226}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0893}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0611}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0096}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2627}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4645}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0715}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2946}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4360}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0779}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0044}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2402}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4451}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3676}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3114}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3752}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0976}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3014}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2955}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0735}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0447}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2167}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4562}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4881}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3248}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2951}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2007}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0205}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0484}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2743}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0674}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.7677}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1431}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2026}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}

{space 4}{hline 13}{c  TT}{hline 10}{c  TT}{hline 13}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp11}{space 1}{c |}{space 1}{ralign 11:Unexplained}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{c   +}{hline 13}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.1559}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.6084}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.2916}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0267}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0084}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3127}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.5274}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0087}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1903}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.2718}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1833}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{c  BT}{hline 13}
{txt}({bf:score} assumed)
(10 components skipped)

Scoring coefficients 
{col 5}sum of squares(column-loading) = 1

{space 4}{hline 13}{c  TT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp1}{space 1}{space 1}{ralign 8:Comp2}{space 1}{space 1}{ralign 8:Comp3}{space 1}{space 1}{ralign 8:Comp4}{space 1}{space 1}{ralign 8:Comp5}{space 1}{space 1}{ralign 8:Comp6}{space 1}{space 1}{ralign 8:Comp7}{space 1}{space 1}{ralign 8:Comp8}{space 1}{space 1}{ralign 8:Comp9}{space 1}{space 1}{ralign 8:Comp10}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2627}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4089}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0689}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1956}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4028}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3467}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6003}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1705}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1561}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0128}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3661}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1749}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0427}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0126}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3802}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1081}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3154}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0918}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4209}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1481}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3553}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0851}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1449}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0600}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3402}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1252}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5447}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0586}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4985}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2772}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2496}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1428}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3837}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.7122}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1874}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4356}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1094}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0603}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0656}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1317}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2697}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2840}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1299}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3268}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4956}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6811}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0434}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0299}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0918}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0472}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3128}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3738}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1605}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1101}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0093}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1997}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4636}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4065}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0910}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4453}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3697}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2298}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0670}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0580}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1176}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2206}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0872}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2953}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3137}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5184}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1722}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2405}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.8504}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3877}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0559}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1536}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0226}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0893}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0611}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0096}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2627}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4645}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0715}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2946}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4360}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0779}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0044}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2402}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4451}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3676}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3114}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3752}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0976}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3014}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2955}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0735}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0447}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2167}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4562}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4881}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3248}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2951}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2007}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0205}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0484}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2743}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0674}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.7677}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1431}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2026}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}

{space 4}{hline 13}{c  TT}{hline 10}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp11}{space 1}
{space 4}{hline 13}{c   +}{hline 10}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.1559}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.6084}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.2916}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0267}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0084}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3127}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.5274}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0087}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1903}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.2718}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1833}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}
 
Warning: f122006 has 764 values < 0. Used in calculations
 
Distributional summary statistics, 5 quantile groups

{hline 10}{c TT}{hline 64}
Quantile  {c |}
group     {c |}    Quantile  % of median     Share, %      L(p), %        GL(p)
{hline 10}{c +}{hline 64}
        1 {c |}      {res}-1.871     1292.647    4.240e+09    4.240e+09       -0.552
        {txt}2 {c |}      {res}-0.695      480.224    1.824e+09    6.064e+09       -0.789
        {txt}3 {c |}       {res}0.124      -85.651    2.255e+08    6.289e+09       -0.818
        {txt}4 {c |}       {res}1.747    -1207.355   -1.472e+09    4.817e+09       -0.627
        {txt}5 {c |}            {res}                -4.817e+09      100.000       -0.000
{txt}{hline 10}{c BT}{hline 64}
Share = quantile group share of total f122006; 
L(p)=cumulative group share; GL(p)=L(p)*mean(f122006)
(1,498 real changes made)
(1,498 real changes made)
Now calculating 2_2008

Principal components/correlation{col 50}Number of obs    = {res}     1,537
{col 50}{txt}Number of comp.  = {res}        11
{col 50}{txt}Trace            {col 67}=  {res}       11
{col 5}{txt}Rotation: (unrotated = principal){col 50}Rho              = {res}    1.0000

{txt}{col 5}{hline 13}{c TT}{hline 60}
{col 5}   Component {c |}   Eigenvalue   Difference         Proportion   Cumulative
{col 5}{hline 13}{c +}{hline 60}
{col 5}{ralign 12:Comp1} {c |}{res}      4.05158      2.72763             0.3683       0.3683
{txt}{col 5}{ralign 12:Comp2} {c |}{res}      1.32396      .351545             0.1204       0.4887
{txt}{col 5}{ralign 12:Comp3} {c |}{res}      .972411      .157942             0.0884       0.5771
{txt}{col 5}{ralign 12:Comp4} {c |}{res}      .814468     .0680327             0.0740       0.6511
{txt}{col 5}{ralign 12:Comp5} {c |}{res}      .746436     .0931367             0.0679       0.7190
{txt}{col 5}{ralign 12:Comp6} {c |}{res}      .653299     .0392322             0.0594       0.7784
{txt}{col 5}{ralign 12:Comp7} {c |}{res}      .614067     .0708735             0.0558       0.8342
{txt}{col 5}{ralign 12:Comp8} {c |}{res}      .543193     .0475616             0.0494       0.8836
{txt}{col 5}{ralign 12:Comp9} {c |}{res}      .495632     .0684206             0.0451       0.9286
{txt}{col 5}{ralign 12:Comp10} {c |}{res}      .427211     .0694655             0.0388       0.9675
{txt}{col 5}{ralign 12:Comp11} {c |}{res}      .357745            .             0.0325       1.0000
{txt}{col 5}{hline 13}{c BT}{hline 60}

Principal components (eigenvectors) 

{space 4}{hline 13}{c  TT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp1}{space 1}{space 1}{ralign 8:Comp2}{space 1}{space 1}{ralign 8:Comp3}{space 1}{space 1}{ralign 8:Comp4}{space 1}{space 1}{ralign 8:Comp5}{space 1}{space 1}{ralign 8:Comp6}{space 1}{space 1}{ralign 8:Comp7}{space 1}{space 1}{ralign 8:Comp8}{space 1}{space 1}{ralign 8:Comp9}{space 1}{space 1}{ralign 8:Comp10}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2586}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4754}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2311}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1756}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2736}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1249}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2255}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6619}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0034}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1653}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3488}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1448}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0583}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2098}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4752}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0580}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2252}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4122}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0525}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4924}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3173}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0623}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2270}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2641}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2326}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0866}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.8300}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0832}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1146}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0597}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2052}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2597}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6306}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2796}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5399}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1511}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2085}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2302}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0560}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0191}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2956}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2535}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0251}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0510}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2871}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.8634}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1160}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0148}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0044}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0300}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3458}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3278}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1277}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1051}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1714}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2508}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2427}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1884}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4250}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2714}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3800}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2261}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1020}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1017}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0178}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2639}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2250}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1274}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2804}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1136}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1929}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2632}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5444}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6739}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3105}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0708}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1713}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0453}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0974}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0144}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2357}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4306}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3542}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4849}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3432}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0833}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0994}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1673}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1574}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4550}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3273}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3498}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2064}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2519}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0418}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0018}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0619}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4447}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1992}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.6487}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3428}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2858}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0464}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0207}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1601}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2464}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0053}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2288}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.8048}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1043}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}

{space 4}{hline 13}{c  TT}{hline 10}{c  TT}{hline 13}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp11}{space 1}{c |}{space 1}{ralign 11:Unexplained}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{c   +}{hline 13}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.1268}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3391}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0081}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0187}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0516}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.5519}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.7452}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0192}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0631}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0242}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0297}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{c  BT}{hline 13}
{txt}({bf:score} assumed)
(10 components skipped)

Scoring coefficients 
{col 5}sum of squares(column-loading) = 1

{space 4}{hline 13}{c  TT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp1}{space 1}{space 1}{ralign 8:Comp2}{space 1}{space 1}{ralign 8:Comp3}{space 1}{space 1}{ralign 8:Comp4}{space 1}{space 1}{ralign 8:Comp5}{space 1}{space 1}{ralign 8:Comp6}{space 1}{space 1}{ralign 8:Comp7}{space 1}{space 1}{ralign 8:Comp8}{space 1}{space 1}{ralign 8:Comp9}{space 1}{space 1}{ralign 8:Comp10}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2586}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4754}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2311}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1756}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2736}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1249}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2255}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6619}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0034}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1653}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3488}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1448}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0583}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2098}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4752}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0580}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2252}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4122}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0525}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4924}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3173}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0623}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2270}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2641}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2326}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0866}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.8300}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0832}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1146}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0597}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2052}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2597}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6306}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2796}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5399}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1511}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2085}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2302}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0560}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0191}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2956}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2535}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0251}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0510}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2871}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.8634}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1160}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0148}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0044}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0300}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3458}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3278}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1277}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1051}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1714}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2508}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2427}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1884}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4250}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2714}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3800}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2261}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1020}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1017}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0178}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2639}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2250}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1274}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2804}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1136}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1929}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2632}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5444}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6739}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3105}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0708}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1713}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0453}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0974}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0144}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2357}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4306}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3542}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4849}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3432}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0833}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0994}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1673}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1574}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4550}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3273}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3498}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2064}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2519}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0418}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0018}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0619}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4447}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1992}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.6487}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3428}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2858}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0464}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0207}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1601}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2464}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0053}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2288}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.8048}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1043}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}

{space 4}{hline 13}{c  TT}{hline 10}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp11}{space 1}
{space 4}{hline 13}{c   +}{hline 10}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.1268}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3391}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0081}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0187}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0516}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.5519}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.7452}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0192}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0631}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0242}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0297}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}
 
Warning: f122008 has 846 values < 0. Used in calculations
 
Distributional summary statistics, 5 quantile groups

{hline 10}{c TT}{hline 64}
Quantile  {c |}
group     {c |}    Quantile  % of median     Share, %      L(p), %        GL(p)
{hline 10}{c +}{hline 64}
        1 {c |}      {res}-1.788      332.768    4.663e+09    4.663e+09       -0.469
        {txt}2 {c |}      {res}-1.000      186.102    2.601e+09    7.264e+09       -0.731
        {txt}3 {c |}       {res}0.119      -22.162    6.767e+08    7.941e+09       -0.799
        {txt}4 {c |}       {res}1.728     -321.647   -1.565e+09    6.375e+09       -0.641
        {txt}5 {c |}            {res}                -6.375e+09      100.000       -0.000
{txt}{hline 10}{c BT}{hline 64}
Share = quantile group share of total f122008; 
L(p)=cumulative group share; GL(p)=L(p)*mean(f122008)
(1,537 real changes made)
(1,537 real changes made)
Now calculating 2_2010

Principal components/correlation{col 50}Number of obs    = {res}     1,504
{col 50}{txt}Number of comp.  = {res}        11
{col 50}{txt}Trace            {col 67}=  {res}       11
{col 5}{txt}Rotation: (unrotated = principal){col 50}Rho              = {res}    1.0000

{txt}{col 5}{hline 13}{c TT}{hline 60}
{col 5}   Component {c |}   Eigenvalue   Difference         Proportion   Cumulative
{col 5}{hline 13}{c +}{hline 60}
{col 5}{ralign 12:Comp1} {c |}{res}      4.18876      2.87088             0.3808       0.3808
{txt}{col 5}{ralign 12:Comp2} {c |}{res}      1.31788       .34496             0.1198       0.5006
{txt}{col 5}{ralign 12:Comp3} {c |}{res}      .972924      .136611             0.0884       0.5891
{txt}{col 5}{ralign 12:Comp4} {c |}{res}      .836313      .113752             0.0760       0.6651
{txt}{col 5}{ralign 12:Comp5} {c |}{res}      .722561     .0998582             0.0657       0.7308
{txt}{col 5}{ralign 12:Comp6} {c |}{res}      .622703     .0882645             0.0566       0.7874
{txt}{col 5}{ralign 12:Comp7} {c |}{res}      .534439     .0158625             0.0486       0.8360
{txt}{col 5}{ralign 12:Comp8} {c |}{res}      .518576     .0673831             0.0471       0.8831
{txt}{col 5}{ralign 12:Comp9} {c |}{res}      .451193     .0272471             0.0410       0.9241
{txt}{col 5}{ralign 12:Comp10} {c |}{res}      .423946     .0132483             0.0385       0.9627
{txt}{col 5}{ralign 12:Comp11} {c |}{res}      .410698            .             0.0373       1.0000
{txt}{col 5}{hline 13}{c BT}{hline 60}

Principal components (eigenvectors) 

{space 4}{hline 13}{c  TT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp1}{space 1}{space 1}{ralign 8:Comp2}{space 1}{space 1}{ralign 8:Comp3}{space 1}{space 1}{ralign 8:Comp4}{space 1}{space 1}{ralign 8:Comp5}{space 1}{space 1}{ralign 8:Comp6}{space 1}{space 1}{ralign 8:Comp7}{space 1}{space 1}{ralign 8:Comp8}{space 1}{space 1}{ralign 8:Comp9}{space 1}{space 1}{ralign 8:Comp10}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2861}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4519}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0368}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1104}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4562}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2045}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0372}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3331}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0203}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4700}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3440}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1205}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0859}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1590}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5835}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0722}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0587}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2191}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1284}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2150}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3058}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2737}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0811}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1250}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0900}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.8484}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0915}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0184}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1448}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2175}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1994}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3501}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4596}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.6681}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2185}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0888}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0593}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0936}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0019}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3040}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3238}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3044}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0144}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1774}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0766}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0853}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.8620}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0401}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0472}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0676}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3251}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3461}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0178}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1124}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0877}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2014}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2478}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.7138}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2277}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0052}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3495}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2575}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0413}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1368}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1103}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3746}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2837}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1257}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5708}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1273}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1686}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0348}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.7604}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5895}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1190}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0885}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0686}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0835}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0970}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0078}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2594}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4029}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3420}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1565}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5757}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0555}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0399}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0394}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3953}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2691}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3277}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3205}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2670}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2551}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1107}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1615}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0084}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0300}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4932}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5007}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3615}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1968}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0692}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0275}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1099}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0124}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3032}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5436}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4163}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4993}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}

{space 4}{hline 13}{c  TT}{hline 10}{c  TT}{hline 13}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp11}{space 1}{c |}{space 1}{ralign 11:Unexplained}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{c   +}{hline 13}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.3417}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.6121}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0673}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1407}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0784}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3007}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.4476}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0393}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2503}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.3468}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0529}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{c  BT}{hline 13}
{txt}({bf:score} assumed)
(10 components skipped)

Scoring coefficients 
{col 5}sum of squares(column-loading) = 1

{space 4}{hline 13}{c  TT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp1}{space 1}{space 1}{ralign 8:Comp2}{space 1}{space 1}{ralign 8:Comp3}{space 1}{space 1}{ralign 8:Comp4}{space 1}{space 1}{ralign 8:Comp5}{space 1}{space 1}{ralign 8:Comp6}{space 1}{space 1}{ralign 8:Comp7}{space 1}{space 1}{ralign 8:Comp8}{space 1}{space 1}{ralign 8:Comp9}{space 1}{space 1}{ralign 8:Comp10}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2861}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4519}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0368}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1104}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4562}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2045}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0372}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3331}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0203}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4700}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3440}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1205}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0859}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1590}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5835}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0722}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0587}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2191}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1284}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2150}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3058}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2737}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0811}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1250}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0900}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.8484}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0915}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0184}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1448}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2175}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1994}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3501}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4596}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.6681}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2185}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0888}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0593}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0936}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0019}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3040}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3238}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3044}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0144}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1774}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0766}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0853}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.8620}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0401}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0472}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0676}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3251}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3461}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0178}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1124}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0877}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2014}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2478}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.7138}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2277}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0052}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3495}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2575}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0413}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1368}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1103}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3746}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2837}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1257}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5708}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1273}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1686}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0348}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.7604}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5895}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1190}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0885}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0686}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0835}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0970}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0078}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2594}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4029}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3420}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1565}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5757}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0555}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0399}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0394}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3953}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2691}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3277}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3205}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2670}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2551}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1107}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1615}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0084}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0300}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4932}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5007}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3615}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1968}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0692}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0275}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1099}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0124}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3032}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5436}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4163}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4993}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}

{space 4}{hline 13}{c  TT}{hline 10}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp11}{space 1}
{space 4}{hline 13}{c   +}{hline 10}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.3417}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.6121}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0673}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1407}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0784}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3007}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.4476}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0393}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2503}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.3468}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0529}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}
 
Warning: f122010 has 847 values < 0. Used in calculations
 
Distributional summary statistics, 5 quantile groups

{hline 10}{c TT}{hline 64}
Quantile  {c |}
group     {c |}    Quantile  % of median     Share, %      L(p), %        GL(p)
{hline 10}{c +}{hline 64}
        1 {c |}      {res}-2.050     1130.016   -6.748e+09   -6.748e+09       -0.542
        {txt}2 {c |}      {res}-0.871      480.233   -3.123e+09   -9.871e+09       -0.793
        {txt}3 {c |}       {res}0.333     -183.665   -4.877e+08   -1.036e+10       -0.833
        {txt}4 {c |}       {res}1.904    -1049.377    2.768e+09   -7.590e+09       -0.610
        {txt}5 {c |}            {res}                 7.590e+09      100.000        0.000
{txt}{hline 10}{c BT}{hline 64}
Share = quantile group share of total f122010; 
L(p)=cumulative group share; GL(p)=L(p)*mean(f122010)
(1,504 real changes made)
(1,504 real changes made)
Now calculating 2_2012

Principal components/correlation{col 50}Number of obs    = {res}     1,506
{col 50}{txt}Number of comp.  = {res}        11
{col 50}{txt}Trace            {col 67}=  {res}       11
{col 5}{txt}Rotation: (unrotated = principal){col 50}Rho              = {res}    1.0000

{txt}{col 5}{hline 13}{c TT}{hline 60}
{col 5}   Component {c |}   Eigenvalue   Difference         Proportion   Cumulative
{col 5}{hline 13}{c +}{hline 60}
{col 5}{ralign 12:Comp1} {c |}{res}      3.83496      2.54338             0.3486       0.3486
{txt}{col 5}{ralign 12:Comp2} {c |}{res}      1.29158      .344721             0.1174       0.4660
{txt}{col 5}{ralign 12:Comp3} {c |}{res}      .946863     .0723086             0.0861       0.5521
{txt}{col 5}{ralign 12:Comp4} {c |}{res}      .874554     .0642065             0.0795       0.6316
{txt}{col 5}{ralign 12:Comp5} {c |}{res}      .810348      .142729             0.0737       0.7053
{txt}{col 5}{ralign 12:Comp6} {c |}{res}      .667619     .0516647             0.0607       0.7660
{txt}{col 5}{ralign 12:Comp7} {c |}{res}      .615954     .0688506             0.0560       0.8220
{txt}{col 5}{ralign 12:Comp8} {c |}{res}      .547103     .0408606             0.0497       0.8717
{txt}{col 5}{ralign 12:Comp9} {c |}{res}      .506243     .0388457             0.0460       0.9177
{txt}{col 5}{ralign 12:Comp10} {c |}{res}      .467397      .030025             0.0425       0.9602
{txt}{col 5}{ralign 12:Comp11} {c |}{res}      .437372            .             0.0398       1.0000
{txt}{col 5}{hline 13}{c BT}{hline 60}

Principal components (eigenvectors) 

{space 4}{hline 13}{c  TT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp1}{space 1}{space 1}{ralign 8:Comp2}{space 1}{space 1}{ralign 8:Comp3}{space 1}{space 1}{ralign 8:Comp4}{space 1}{space 1}{ralign 8:Comp5}{space 1}{space 1}{ralign 8:Comp6}{space 1}{space 1}{ralign 8:Comp7}{space 1}{space 1}{ralign 8:Comp8}{space 1}{space 1}{ralign 8:Comp9}{space 1}{space 1}{ralign 8:Comp10}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2581}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4876}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1109}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1217}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3611}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2894}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5024}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1926}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2109}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1108}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3535}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2056}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0111}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0211}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5054}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0139}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1320}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0726}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1678}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1655}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3379}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2762}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1574}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1219}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0164}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1837}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4061}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6661}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1506}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3049}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1625}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4304}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5833}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3362}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3715}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3841}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1366}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1676}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0239}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0364}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2959}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2512}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1191}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4087}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0584}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6675}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3359}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1998}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1356}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2065}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3337}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3661}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0279}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0363}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2049}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1836}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3780}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3000}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0447}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5763}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3774}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1334}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0189}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0231}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1160}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2634}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0436}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2780}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6876}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1643}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2281}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0634}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3339}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.8130}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2021}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2532}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0396}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2262}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0944}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0654}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1873}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4018}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5619}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0411}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5869}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2076}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0991}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1005}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1618}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1663}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3281}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1808}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3960}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1530}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1207}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2787}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4807}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1407}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3160}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4164}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3630}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2131}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1524}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0445}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1311}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0348}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2155}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4445}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5254}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5089}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}

{space 4}{hline 13}{c  TT}{hline 10}{c  TT}{hline 13}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp11}{space 1}{c |}{space 1}{ralign 11:Unexplained}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{c   +}{hline 13}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.3289}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.7059}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.1077}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0310}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0731}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3314}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.4209}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0249}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1572}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.2512}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0131}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{c  BT}{hline 13}
{txt}({bf:score} assumed)
(10 components skipped)

Scoring coefficients 
{col 5}sum of squares(column-loading) = 1

{space 4}{hline 13}{c  TT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp1}{space 1}{space 1}{ralign 8:Comp2}{space 1}{space 1}{ralign 8:Comp3}{space 1}{space 1}{ralign 8:Comp4}{space 1}{space 1}{ralign 8:Comp5}{space 1}{space 1}{ralign 8:Comp6}{space 1}{space 1}{ralign 8:Comp7}{space 1}{space 1}{ralign 8:Comp8}{space 1}{space 1}{ralign 8:Comp9}{space 1}{space 1}{ralign 8:Comp10}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2581}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4876}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1109}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1217}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3611}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2894}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5024}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1926}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2109}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1108}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3535}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2056}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0111}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0211}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5054}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0139}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1320}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0726}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1678}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1655}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3379}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2762}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1574}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1219}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0164}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1837}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4061}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6661}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1506}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3049}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1625}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4304}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5833}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3362}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3715}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3841}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1366}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1676}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0239}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0364}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2959}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2512}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1191}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4087}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0584}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6675}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3359}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1998}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1356}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2065}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3337}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3661}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0279}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0363}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2049}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1836}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3780}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3000}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0447}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5763}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3774}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1334}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0189}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0231}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1160}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2634}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0436}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2780}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6876}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1643}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2281}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0634}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3339}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.8130}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2021}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2532}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0396}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2262}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0944}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0654}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1873}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4018}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5619}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0411}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5869}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2076}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0991}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1005}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1618}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1663}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3281}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1808}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3960}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1530}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1207}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2787}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4807}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1407}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3160}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4164}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3630}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2131}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1524}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0445}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1311}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0348}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2155}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4445}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5254}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5089}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}

{space 4}{hline 13}{c  TT}{hline 10}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp11}{space 1}
{space 4}{hline 13}{c   +}{hline 10}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.3289}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.7059}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.1077}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0310}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0731}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3314}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.4209}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0249}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1572}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.2512}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0131}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}
 
Warning: f122012 has 848 values < 0. Used in calculations
 
Distributional summary statistics, 5 quantile groups

{hline 10}{c TT}{hline 64}
Quantile  {c |}
group     {c |}    Quantile  % of median     Share, %      L(p), %        GL(p)
{hline 10}{c +}{hline 64}
        1 {c |}      {res}-1.699      554.266   -5.332e+10   -5.332e+10       -0.567
        {txt}2 {c |}      {res}-0.882      287.708   -1.629e+10   -6.961e+10       -0.740
        {txt}3 {c |}       {res}0.294      -95.825   -5.206e+09   -7.482e+10       -0.796
        {txt}4 {c |}       {res}1.843     -601.227    1.866e+10   -5.616e+10       -0.597
        {txt}5 {c |}            {res}                 5.616e+10      100.000        0.000
{txt}{hline 10}{c BT}{hline 64}
Share = quantile group share of total f122012; 
L(p)=cumulative group share; GL(p)=L(p)*mean(f122012)
(1,506 real changes made)
(1,506 real changes made)
Now calculating 2_2014

Principal components/correlation{col 50}Number of obs    = {res}     1,492
{col 50}{txt}Number of comp.  = {res}        11
{col 50}{txt}Trace            {col 67}=  {res}       11
{col 5}{txt}Rotation: (unrotated = principal){col 50}Rho              = {res}    1.0000

{txt}{col 5}{hline 13}{c TT}{hline 60}
{col 5}   Component {c |}   Eigenvalue   Difference         Proportion   Cumulative
{col 5}{hline 13}{c +}{hline 60}
{col 5}{ralign 12:Comp1} {c |}{res}      3.71563      2.37669             0.3378       0.3378
{txt}{col 5}{ralign 12:Comp2} {c |}{res}      1.33894      .429591             0.1217       0.4595
{txt}{col 5}{ralign 12:Comp3} {c |}{res}       .90935     .0805116             0.0827       0.5422
{txt}{col 5}{ralign 12:Comp4} {c |}{res}      .828839     .0991692             0.0753       0.6175
{txt}{col 5}{ralign 12:Comp5} {c |}{res}       .72967     .0202006             0.0663       0.6839
{txt}{col 5}{ralign 12:Comp6} {c |}{res}      .709469     .0533854             0.0645       0.7484
{txt}{col 5}{ralign 12:Comp7} {c |}{res}      .656084     .0680329             0.0596       0.8080
{txt}{col 5}{ralign 12:Comp8} {c |}{res}      .588051     .0392769             0.0535       0.8615
{txt}{col 5}{ralign 12:Comp9} {c |}{res}      .548774      .025721             0.0499       0.9113
{txt}{col 5}{ralign 12:Comp10} {c |}{res}      .523053     .0709126             0.0476       0.9589
{txt}{col 5}{ralign 12:Comp11} {c |}{res}       .45214            .             0.0411       1.0000
{txt}{col 5}{hline 13}{c BT}{hline 60}

Principal components (eigenvectors) 

{space 4}{hline 13}{c  TT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp1}{space 1}{space 1}{ralign 8:Comp2}{space 1}{space 1}{ralign 8:Comp3}{space 1}{space 1}{ralign 8:Comp4}{space 1}{space 1}{ralign 8:Comp5}{space 1}{space 1}{ralign 8:Comp6}{space 1}{space 1}{ralign 8:Comp7}{space 1}{space 1}{ralign 8:Comp8}{space 1}{space 1}{ralign 8:Comp9}{space 1}{space 1}{ralign 8:Comp10}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2927}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4280}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0980}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1662}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0531}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3599}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3353}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1932}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2324}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5778}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3669}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1681}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0498}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1246}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0814}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2845}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1711}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0879}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4074}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.6588}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2711}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3380}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1193}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1321}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.7892}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1266}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0137}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3382}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0427}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1138}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2517}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2745}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1554}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.6731}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2531}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4855}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2381}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0597}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1351}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0680}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3017}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3020}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0252}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0465}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3054}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3766}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6715}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2401}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2547}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0646}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3276}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3431}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1386}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0073}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1285}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0606}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0732}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.7016}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0961}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3733}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3742}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2004}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1225}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0059}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2897}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0627}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3000}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1359}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1670}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0818}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1854}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1083}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.9327}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2520}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0078}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0554}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1004}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0687}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0212}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0382}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2272}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4035}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1246}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6041}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0631}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5580}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0694}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0648}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2797}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0378}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3140}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3639}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1386}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2296}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0267}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2646}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0504}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1872}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.7606}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1006}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3463}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2070}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1000}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0538}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3243}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0624}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4876}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4740}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0284}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2265}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}

{space 4}{hline 13}{c  TT}{hline 10}{c  TT}{hline 13}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp11}{space 1}{c |}{space 1}{ralign 11:Unexplained}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{c   +}{hline 13}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.1549}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3074}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.1109}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0331}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0481}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2987}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.7575}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0245}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0335}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0119}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.4482}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{c  BT}{hline 13}
{txt}({bf:score} assumed)
(10 components skipped)

Scoring coefficients 
{col 5}sum of squares(column-loading) = 1

{space 4}{hline 13}{c  TT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp1}{space 1}{space 1}{ralign 8:Comp2}{space 1}{space 1}{ralign 8:Comp3}{space 1}{space 1}{ralign 8:Comp4}{space 1}{space 1}{ralign 8:Comp5}{space 1}{space 1}{ralign 8:Comp6}{space 1}{space 1}{ralign 8:Comp7}{space 1}{space 1}{ralign 8:Comp8}{space 1}{space 1}{ralign 8:Comp9}{space 1}{space 1}{ralign 8:Comp10}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2927}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4280}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0980}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1662}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0531}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3599}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3353}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1932}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2324}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5778}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3669}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1681}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0498}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1246}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0814}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2845}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1711}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0879}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4074}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.6588}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2711}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3380}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1193}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1321}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.7892}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1266}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0137}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3382}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0427}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1138}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2517}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2745}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1554}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.6731}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2531}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4855}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2381}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0597}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1351}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0680}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3017}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3020}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0252}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0465}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3054}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3766}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6715}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2401}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2547}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0646}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3276}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3431}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1386}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0073}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1285}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0606}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0732}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.7016}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0961}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3733}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3742}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2004}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1225}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0059}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2897}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0627}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3000}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1359}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1670}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0818}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1854}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1083}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.9327}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2520}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0078}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0554}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1004}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0687}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0212}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0382}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2272}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4035}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1246}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6041}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0631}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5580}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0694}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0648}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2797}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0378}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3140}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3639}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1386}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2296}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0267}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2646}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0504}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1872}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.7606}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1006}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3463}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2070}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1000}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0538}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3243}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0624}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4876}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4740}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0284}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2265}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}

{space 4}{hline 13}{c  TT}{hline 10}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp11}{space 1}
{space 4}{hline 13}{c   +}{hline 10}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.1549}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3074}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.1109}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0331}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0481}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2987}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.7575}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0245}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0335}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0119}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.4482}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}
 
Warning: f122014 has 773 values < 0. Used in calculations
 
Distributional summary statistics, 5 quantile groups

{hline 10}{c TT}{hline 64}
Quantile  {c |}
group     {c |}    Quantile  % of median     Share, %      L(p), %        GL(p)
{hline 10}{c +}{hline 64}
        1 {c |}      {res}-1.841      540.278   -3.264e+10   -3.264e+10       -0.516
        {txt}2 {c |}      {res}-0.599      175.886   -1.418e+10   -4.682e+10       -0.741
        {txt}3 {c |}       {res}0.137      -40.088   -1.105e+09   -4.792e+10       -0.758
        {txt}4 {c |}       {res}1.659     -486.648    1.068e+10   -3.724e+10       -0.589
        {txt}5 {c |}            {res}                 3.724e+10      100.000        0.000
{txt}{hline 10}{c BT}{hline 64}
Share = quantile group share of total f122014; 
L(p)=cumulative group share; GL(p)=L(p)*mean(f122014)
(1,492 real changes made)
(1,492 real changes made)
Now calculating 2_2016

Principal components/correlation{col 50}Number of obs    = {res}     1,525
{col 50}{txt}Number of comp.  = {res}        11
{col 50}{txt}Trace            {col 67}=  {res}       11
{col 5}{txt}Rotation: (unrotated = principal){col 50}Rho              = {res}    1.0000

{txt}{col 5}{hline 13}{c TT}{hline 60}
{col 5}   Component {c |}   Eigenvalue   Difference         Proportion   Cumulative
{col 5}{hline 13}{c +}{hline 60}
{col 5}{ralign 12:Comp1} {c |}{res}       3.4713      2.28662             0.3156       0.3156
{txt}{col 5}{ralign 12:Comp2} {c |}{res}      1.18468      .149343             0.1077       0.4233
{txt}{col 5}{ralign 12:Comp3} {c |}{res}      1.03533      .158468             0.0941       0.5174
{txt}{col 5}{ralign 12:Comp4} {c |}{res}      .876865     .0796926             0.0797       0.5971
{txt}{col 5}{ralign 12:Comp5} {c |}{res}      .797172     .0772594             0.0725       0.6696
{txt}{col 5}{ralign 12:Comp6} {c |}{res}      .719913     .0699495             0.0654       0.7350
{txt}{col 5}{ralign 12:Comp7} {c |}{res}      .649964     .0305212             0.0591       0.7941
{txt}{col 5}{ralign 12:Comp8} {c |}{res}      .619442     .0362452             0.0563       0.8504
{txt}{col 5}{ralign 12:Comp9} {c |}{res}      .583197     .0395713             0.0530       0.9034
{txt}{col 5}{ralign 12:Comp10} {c |}{res}      .543626     .0251136             0.0494       0.9529
{txt}{col 5}{ralign 12:Comp11} {c |}{res}      .518512            .             0.0471       1.0000
{txt}{col 5}{hline 13}{c BT}{hline 60}

Principal components (eigenvectors) 

{space 4}{hline 13}{c  TT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp1}{space 1}{space 1}{ralign 8:Comp2}{space 1}{space 1}{ralign 8:Comp3}{space 1}{space 1}{ralign 8:Comp4}{space 1}{space 1}{ralign 8:Comp5}{space 1}{space 1}{ralign 8:Comp6}{space 1}{space 1}{ralign 8:Comp7}{space 1}{space 1}{ralign 8:Comp8}{space 1}{space 1}{ralign 8:Comp9}{space 1}{space 1}{ralign 8:Comp10}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2762}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4473}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1645}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0953}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4614}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0560}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0886}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6588}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0731}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1502}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3584}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1053}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0178}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1132}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3186}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1023}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5082}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4296}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0235}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5324}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2919}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2251}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4044}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0640}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1393}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6654}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1233}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1687}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3973}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1508}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1974}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2333}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3211}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.8616}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1837}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0005}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0071}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0472}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1307}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0517}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3317}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3229}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1064}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1018}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1659}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4652}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0752}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3194}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4552}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2728}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3499}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3047}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1909}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0599}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0852}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4008}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1264}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0202}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1332}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1251}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3806}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1568}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0122}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0766}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0809}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1112}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2567}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2688}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2739}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6337}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1918}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0829}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.7459}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3797}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1883}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2346}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1358}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1763}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1585}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1961}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1771}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5499}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2208}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2468}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6773}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1696}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2183}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0015}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0768}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0643}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3077}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3552}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2293}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0813}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2168}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0585}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6549}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3424}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3123}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0150}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3620}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1632}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0154}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0092}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2235}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2589}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3689}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1666}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.6250}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3662}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}

{space 4}{hline 13}{c  TT}{hline 10}{c  TT}{hline 13}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp11}{space 1}{c |}{space 1}{ralign 11:Unexplained}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{c   +}{hline 13}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0404}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0925}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1006}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0728}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.3616}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.7260}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.4369}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2285}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1064}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.1604}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.1909}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{c  BT}{hline 13}
{txt}({bf:score} assumed)
(10 components skipped)

Scoring coefficients 
{col 5}sum of squares(column-loading) = 1

{space 4}{hline 13}{c  TT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp1}{space 1}{space 1}{ralign 8:Comp2}{space 1}{space 1}{ralign 8:Comp3}{space 1}{space 1}{ralign 8:Comp4}{space 1}{space 1}{ralign 8:Comp5}{space 1}{space 1}{ralign 8:Comp6}{space 1}{space 1}{ralign 8:Comp7}{space 1}{space 1}{ralign 8:Comp8}{space 1}{space 1}{ralign 8:Comp9}{space 1}{space 1}{ralign 8:Comp10}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2762}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4473}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1645}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0953}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4614}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0560}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0886}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6588}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0731}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1502}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3584}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1053}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0178}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1132}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3186}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1023}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5082}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4296}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0235}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5324}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2919}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2251}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4044}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0640}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1393}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6654}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1233}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1687}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3973}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1508}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1974}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2333}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3211}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.8616}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1837}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0005}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0071}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0472}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1307}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0517}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3317}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3229}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1064}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1018}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1659}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4652}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0752}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3194}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4552}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2728}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3499}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3047}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1909}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0599}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0852}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4008}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1264}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0202}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1332}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1251}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3806}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1568}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0122}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0766}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0809}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1112}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2567}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2688}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2739}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6337}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1918}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0829}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.7459}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3797}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1883}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2346}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1358}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1763}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1585}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1961}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1771}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5499}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2208}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2468}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6773}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1696}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2183}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0015}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0768}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0643}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3077}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3552}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2293}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0813}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2168}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0585}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6549}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3424}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3123}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0150}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3620}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1632}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0154}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0092}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2235}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2589}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3689}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1666}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.6250}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3662}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}

{space 4}{hline 13}{c  TT}{hline 10}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp11}{space 1}
{space 4}{hline 13}{c   +}{hline 10}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0404}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0925}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1006}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0728}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.3616}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.7260}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.4369}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2285}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1064}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.1604}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.1909}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}
 
Warning: f122016 has 803 values < 0. Used in calculations
 
Distributional summary statistics, 5 quantile groups

{hline 10}{c TT}{hline 64}
Quantile  {c |}
group     {c |}    Quantile  % of median     Share, %      L(p), %        GL(p)
{hline 10}{c +}{hline 64}
        1 {c |}      {res}-1.750      608.782    1.255e+11    1.255e+11       -0.489
        {txt}2 {c |}      {res}-0.689      239.753    6.027e+10    1.858e+11       -0.723
        {txt}3 {c |}       {res}0.366     -127.400    8.795e+09    1.946e+11       -0.758
        {txt}4 {c |}       {res}1.737     -604.425   -5.167e+10    1.429e+11       -0.556
        {txt}5 {c |}            {res}                -1.429e+11       99.999       -0.000
{txt}{hline 10}{c BT}{hline 64}
Share = quantile group share of total f122016; 
L(p)=cumulative group share; GL(p)=L(p)*mean(f122016)
(1,525 real changes made)
(1,525 real changes made)
Now calculating 3_2006

Principal components/correlation{col 50}Number of obs    = {res}     1,729
{col 50}{txt}Number of comp.  = {res}        11
{col 50}{txt}Trace            {col 67}=  {res}       11
{col 5}{txt}Rotation: (unrotated = principal){col 50}Rho              = {res}    1.0000

{txt}{col 5}{hline 13}{c TT}{hline 60}
{col 5}   Component {c |}   Eigenvalue   Difference         Proportion   Cumulative
{col 5}{hline 13}{c +}{hline 60}
{col 5}{ralign 12:Comp1} {c |}{res}      3.89379       2.6835             0.3540       0.3540
{txt}{col 5}{ralign 12:Comp2} {c |}{res}      1.21029      .196825             0.1100       0.4640
{txt}{col 5}{ralign 12:Comp3} {c |}{res}      1.01346     .0846698             0.0921       0.5561
{txt}{col 5}{ralign 12:Comp4} {c |}{res}      .928793      .113568             0.0844       0.6406
{txt}{col 5}{ralign 12:Comp5} {c |}{res}      .815225      .153595             0.0741       0.7147
{txt}{col 5}{ralign 12:Comp6} {c |}{res}       .66163     .0637704             0.0601       0.7748
{txt}{col 5}{ralign 12:Comp7} {c |}{res}       .59786     .0341056             0.0544       0.8292
{txt}{col 5}{ralign 12:Comp8} {c |}{res}      .563754     .0801111             0.0513       0.8804
{txt}{col 5}{ralign 12:Comp9} {c |}{res}      .483643     .0296397             0.0440       0.9244
{txt}{col 5}{ralign 12:Comp10} {c |}{res}      .454003     .0764557             0.0413       0.9657
{txt}{col 5}{ralign 12:Comp11} {c |}{res}      .377548            .             0.0343       1.0000
{txt}{col 5}{hline 13}{c BT}{hline 60}

Principal components (eigenvectors) 

{space 4}{hline 13}{c  TT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp1}{space 1}{space 1}{ralign 8:Comp2}{space 1}{space 1}{ralign 8:Comp3}{space 1}{space 1}{ralign 8:Comp4}{space 1}{space 1}{ralign 8:Comp5}{space 1}{space 1}{ralign 8:Comp6}{space 1}{space 1}{ralign 8:Comp7}{space 1}{space 1}{ralign 8:Comp8}{space 1}{space 1}{ralign 8:Comp9}{space 1}{space 1}{ralign 8:Comp10}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2303}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4731}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2229}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3942}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1636}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4666}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4962}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1442}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0760}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0205}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3367}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3001}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0145}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1431}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3148}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1227}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4654}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0996}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5066}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4123}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3501}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1675}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1846}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0465}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4131}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0117}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3431}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0605}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4005}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5941}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2289}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0391}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4327}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5302}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5357}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2542}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2297}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1301}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0661}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2205}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2975}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3159}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0007}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1737}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3263}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.6183}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3740}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3498}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1119}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1319}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3372}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3898}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1317}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0169}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0383}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2330}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2055}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0293}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.6414}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4532}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3327}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3526}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0756}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0314}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0515}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1919}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1343}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.6992}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3045}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3436}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0841}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0783}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.8189}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5119}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2179}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0127}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0122}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0496}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0279}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0538}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3230}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3347}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1227}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3708}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3668}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2002}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1629}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0287}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0667}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0411}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3592}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2406}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1419}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3252}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3042}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1001}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1368}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0457}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0339}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1413}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3245}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3232}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0026}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0641}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1772}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4229}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3482}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5756}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2231}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2502}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}

{space 4}{hline 13}{c  TT}{hline 10}{c  TT}{hline 13}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp11}{space 1}{c |}{space 1}{ralign 11:Unexplained}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{c   +}{hline 13}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0205}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0927}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0874}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0589}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0259}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0331}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0340}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0178}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.6503}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.7367}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1049}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{c  BT}{hline 13}
{txt}({bf:score} assumed)
(10 components skipped)

Scoring coefficients 
{col 5}sum of squares(column-loading) = 1

{space 4}{hline 13}{c  TT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp1}{space 1}{space 1}{ralign 8:Comp2}{space 1}{space 1}{ralign 8:Comp3}{space 1}{space 1}{ralign 8:Comp4}{space 1}{space 1}{ralign 8:Comp5}{space 1}{space 1}{ralign 8:Comp6}{space 1}{space 1}{ralign 8:Comp7}{space 1}{space 1}{ralign 8:Comp8}{space 1}{space 1}{ralign 8:Comp9}{space 1}{space 1}{ralign 8:Comp10}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2303}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4731}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2229}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3942}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1636}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4666}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4962}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1442}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0760}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0205}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3367}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3001}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0145}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1431}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3148}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1227}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4654}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0996}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5066}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4123}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3501}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1675}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1846}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0465}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4131}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0117}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3431}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0605}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4005}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5941}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2289}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0391}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4327}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5302}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5357}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2542}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2297}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1301}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0661}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2205}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2975}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3159}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0007}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1737}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3263}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.6183}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3740}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3498}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1119}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1319}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3372}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3898}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1317}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0169}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0383}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2330}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2055}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0293}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.6414}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4532}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3327}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3526}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0756}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0314}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0515}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1919}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1343}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.6992}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3045}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3436}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0841}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0783}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.8189}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5119}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2179}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0127}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0122}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0496}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0279}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0538}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3230}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3347}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1227}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3708}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3668}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2002}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1629}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0287}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0667}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0411}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3592}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2406}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1419}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3252}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3042}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1001}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1368}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0457}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0339}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1413}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3245}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3232}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0026}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0641}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1772}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4229}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3482}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5756}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2231}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2502}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}

{space 4}{hline 13}{c  TT}{hline 10}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp11}{space 1}
{space 4}{hline 13}{c   +}{hline 10}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0205}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0927}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0874}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0589}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0259}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0331}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0340}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0178}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.6503}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.7367}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1049}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}
 
Warning: f132006 has 915 values < 0. Used in calculations
 
Distributional summary statistics, 5 quantile groups

{hline 10}{c TT}{hline 64}
Quantile  {c |}
group     {c |}    Quantile  % of median     Share, %      L(p), %        GL(p)
{hline 10}{c +}{hline 64}
        1 {c |}      {res}-1.786      512.012   -3.993e+09   -3.993e+09       -0.523
        {txt}2 {c |}      {res}-0.602      172.537   -1.803e+09   -5.796e+09       -0.758
        {txt}3 {c |}       {res}0.352     -100.762   -2.241e+08   -6.020e+09       -0.788
        {txt}4 {c |}       {res}1.700     -487.118    1.469e+09   -4.551e+09       -0.596
        {txt}5 {c |}            {res}                 4.551e+09      100.000        0.000
{txt}{hline 10}{c BT}{hline 64}
Share = quantile group share of total f132006; 
L(p)=cumulative group share; GL(p)=L(p)*mean(f132006)
(1,729 real changes made)
(1,729 real changes made)
Now calculating 3_2008

Principal components/correlation{col 50}Number of obs    = {res}     1,544
{col 50}{txt}Number of comp.  = {res}        11
{col 50}{txt}Trace            {col 67}=  {res}       11
{col 5}{txt}Rotation: (unrotated = principal){col 50}Rho              = {res}    1.0000

{txt}{col 5}{hline 13}{c TT}{hline 60}
{col 5}   Component {c |}   Eigenvalue   Difference         Proportion   Cumulative
{col 5}{hline 13}{c +}{hline 60}
{col 5}{ralign 12:Comp1} {c |}{res}      3.70202      2.46129             0.3365       0.3365
{txt}{col 5}{ralign 12:Comp2} {c |}{res}      1.24073      .183868             0.1128       0.4493
{txt}{col 5}{ralign 12:Comp3} {c |}{res}      1.05686      .114068             0.0961       0.5454
{txt}{col 5}{ralign 12:Comp4} {c |}{res}      .942794     .0832058             0.0857       0.6311
{txt}{col 5}{ralign 12:Comp5} {c |}{res}      .859589      .232431             0.0781       0.7093
{txt}{col 5}{ralign 12:Comp6} {c |}{res}      .627157      .018723             0.0570       0.7663
{txt}{col 5}{ralign 12:Comp7} {c |}{res}      .608434       .03427             0.0553       0.8216
{txt}{col 5}{ralign 12:Comp8} {c |}{res}      .574164      .058069             0.0522       0.8738
{txt}{col 5}{ralign 12:Comp9} {c |}{res}      .516095     .0346687             0.0469       0.9207
{txt}{col 5}{ralign 12:Comp10} {c |}{res}      .481427     .0907035             0.0438       0.9645
{txt}{col 5}{ralign 12:Comp11} {c |}{res}      .390723            .             0.0355       1.0000
{txt}{col 5}{hline 13}{c BT}{hline 60}

Principal components (eigenvectors) 

{space 4}{hline 13}{c  TT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp1}{space 1}{space 1}{ralign 8:Comp2}{space 1}{space 1}{ralign 8:Comp3}{space 1}{space 1}{ralign 8:Comp4}{space 1}{space 1}{ralign 8:Comp5}{space 1}{space 1}{ralign 8:Comp6}{space 1}{space 1}{ralign 8:Comp7}{space 1}{space 1}{ralign 8:Comp8}{space 1}{space 1}{ralign 8:Comp9}{space 1}{space 1}{ralign 8:Comp10}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2081}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4285}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4671}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0897}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4242}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4168}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2842}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2811}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0881}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1290}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3410}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3039}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1798}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0019}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2599}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2978}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1729}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3934}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2194}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5802}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3528}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1740}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1613}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0939}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2652}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3294}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5051}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0425}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1415}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5945}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1218}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1996}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.7161}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3614}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4454}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1442}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2347}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0411}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0052}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1609}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3077}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3782}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0072}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0770}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2078}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4715}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6445}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0019}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1964}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1786}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3462}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2697}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1694}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1215}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0246}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3903}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2564}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2793}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6817}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0211}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3389}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2773}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1061}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1020}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0524}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4736}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0532}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.6703}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3014}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1282}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0874}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2912}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3530}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.8791}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0066}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0767}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0576}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0160}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0126}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0178}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3188}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3525}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1239}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1635}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5097}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0377}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2790}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0478}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0236}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1690}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3679}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2525}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1482}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1034}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4202}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0169}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0750}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0192}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0154}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1535}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3564}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2973}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0932}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1059}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0282}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0407}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0910}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4822}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5735}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4076}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}

{space 4}{hline 13}{c  TT}{hline 10}{c  TT}{hline 13}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp11}{space 1}{c |}{space 1}{ralign 11:Unexplained}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{c   +}{hline 13}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0945}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1825}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0329}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0035}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0704}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0451}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0078}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0111}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.6013}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.7494}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1623}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{c  BT}{hline 13}
{txt}({bf:score} assumed)
(10 components skipped)

Scoring coefficients 
{col 5}sum of squares(column-loading) = 1

{space 4}{hline 13}{c  TT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp1}{space 1}{space 1}{ralign 8:Comp2}{space 1}{space 1}{ralign 8:Comp3}{space 1}{space 1}{ralign 8:Comp4}{space 1}{space 1}{ralign 8:Comp5}{space 1}{space 1}{ralign 8:Comp6}{space 1}{space 1}{ralign 8:Comp7}{space 1}{space 1}{ralign 8:Comp8}{space 1}{space 1}{ralign 8:Comp9}{space 1}{space 1}{ralign 8:Comp10}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2081}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4285}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4671}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0897}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4242}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4168}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2842}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2811}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0881}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1290}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3410}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3039}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1798}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0019}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2599}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2978}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1729}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3934}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2194}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5802}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3528}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1740}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1613}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0939}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2652}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3294}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5051}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0425}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1415}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5945}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1218}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1996}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.7161}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3614}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4454}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1442}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2347}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0411}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0052}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1609}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3077}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3782}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0072}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0770}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2078}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4715}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6445}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0019}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1964}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1786}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3462}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2697}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1694}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1215}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0246}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3903}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2564}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2793}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6817}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0211}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3389}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2773}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1061}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1020}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0524}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4736}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0532}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.6703}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3014}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1282}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0874}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2912}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3530}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.8791}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0066}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0767}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0576}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0160}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0126}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0178}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3188}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3525}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1239}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1635}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5097}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0377}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2790}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0478}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0236}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1690}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3679}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2525}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1482}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1034}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4202}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0169}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0750}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0192}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0154}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1535}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3564}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2973}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0932}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1059}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0282}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0407}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0910}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4822}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5735}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4076}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}

{space 4}{hline 13}{c  TT}{hline 10}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp11}{space 1}
{space 4}{hline 13}{c   +}{hline 10}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0945}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1825}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0329}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0035}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0704}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0451}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0078}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0111}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.6013}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.7494}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1623}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}
 
Warning: f132008 has 821 values < 0. Used in calculations
 
Distributional summary statistics, 5 quantile groups

{hline 10}{c TT}{hline 64}
Quantile  {c |}
group     {c |}    Quantile  % of median     Share, %      L(p), %        GL(p)
{hline 10}{c +}{hline 64}
        1 {c |}      {res}-1.735      751.886   -3.828e+10   -3.828e+10       -0.528
        {txt}2 {c |}      {res}-0.585      253.553   -1.669e+10   -5.496e+10       -0.759
        {txt}3 {c |}       {res}0.475     -205.769   -8.599e+07   -5.505e+10       -0.760
        {txt}4 {c |}       {res}1.853     -802.958    1.496e+10   -4.009e+10       -0.553
        {txt}5 {c |}            {res}                 4.009e+10      100.000        0.000
{txt}{hline 10}{c BT}{hline 64}
Share = quantile group share of total f132008; 
L(p)=cumulative group share; GL(p)=L(p)*mean(f132008)
(1,544 real changes made)
(1,544 real changes made)
Now calculating 3_2010

Principal components/correlation{col 50}Number of obs    = {res}     1,550
{col 50}{txt}Number of comp.  = {res}        11
{col 50}{txt}Trace            {col 67}=  {res}       11
{col 5}{txt}Rotation: (unrotated = principal){col 50}Rho              = {res}    1.0000

{txt}{col 5}{hline 13}{c TT}{hline 60}
{col 5}   Component {c |}   Eigenvalue   Difference         Proportion   Cumulative
{col 5}{hline 13}{c +}{hline 60}
{col 5}{ralign 12:Comp1} {c |}{res}      3.53435       2.2978             0.3213       0.3213
{txt}{col 5}{ralign 12:Comp2} {c |}{res}      1.23655      .159792             0.1124       0.4337
{txt}{col 5}{ralign 12:Comp3} {c |}{res}      1.07676     .0939135             0.0979       0.5316
{txt}{col 5}{ralign 12:Comp4} {c |}{res}      .982849      .169027             0.0893       0.6210
{txt}{col 5}{ralign 12:Comp5} {c |}{res}      .813822      .145864             0.0740       0.6949
{txt}{col 5}{ralign 12:Comp6} {c |}{res}      .667958     .0320122             0.0607       0.7557
{txt}{col 5}{ralign 12:Comp7} {c |}{res}      .635946     .0533292             0.0578       0.8135
{txt}{col 5}{ralign 12:Comp8} {c |}{res}      .582616     .0518326             0.0530       0.8664
{txt}{col 5}{ralign 12:Comp9} {c |}{res}      .530784     .0436316             0.0483       0.9147
{txt}{col 5}{ralign 12:Comp10} {c |}{res}      .487152     .0359493             0.0443       0.9590
{txt}{col 5}{ralign 12:Comp11} {c |}{res}      .451203            .             0.0410       1.0000
{txt}{col 5}{hline 13}{c BT}{hline 60}

Principal components (eigenvectors) 

{space 4}{hline 13}{c  TT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp1}{space 1}{space 1}{ralign 8:Comp2}{space 1}{space 1}{ralign 8:Comp3}{space 1}{space 1}{ralign 8:Comp4}{space 1}{space 1}{ralign 8:Comp5}{space 1}{space 1}{ralign 8:Comp6}{space 1}{space 1}{ralign 8:Comp7}{space 1}{space 1}{ralign 8:Comp8}{space 1}{space 1}{ralign 8:Comp9}{space 1}{space 1}{ralign 8:Comp10}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1898}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4411}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4618}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0661}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4673}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5571}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0990}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0764}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0463}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0215}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3181}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3231}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1472}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0020}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2943}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5912}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2100}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3564}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3176}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1837}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3535}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1532}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2497}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0141}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2291}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3662}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0022}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5732}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3584}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3513}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1019}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1877}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.7887}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1841}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4091}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2579}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0248}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2105}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0696}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1155}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3269}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3576}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0307}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0232}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1700}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1022}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.6370}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4009}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3292}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1298}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3649}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2913}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1016}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1678}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0207}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1766}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0949}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0360}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.6124}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5693}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3334}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2991}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0362}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1457}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0490}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2244}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6917}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2836}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4037}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0420}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0602}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2562}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2012}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.9215}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1332}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0262}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1002}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0526}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0625}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0774}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3132}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3807}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0853}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2004}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4914}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1312}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1868}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1639}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2302}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1723}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3618}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2571}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1182}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1352}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4292}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1032}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0784}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0445}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1785}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2181}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3790}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2520}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0794}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0636}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0003}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1378}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0353}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4693}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1690}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.6349}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}

{space 4}{hline 13}{c  TT}{hline 10}{c  TT}{hline 13}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp11}{space 1}{c |}{space 1}{ralign 11:Unexplained}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{c   +}{hline 13}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0696}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1757}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.1483}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0365}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.1810}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0503}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0230}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0029}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.5536}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.6988}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3322}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{c  BT}{hline 13}
{txt}({bf:score} assumed)
(10 components skipped)

Scoring coefficients 
{col 5}sum of squares(column-loading) = 1

{space 4}{hline 13}{c  TT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp1}{space 1}{space 1}{ralign 8:Comp2}{space 1}{space 1}{ralign 8:Comp3}{space 1}{space 1}{ralign 8:Comp4}{space 1}{space 1}{ralign 8:Comp5}{space 1}{space 1}{ralign 8:Comp6}{space 1}{space 1}{ralign 8:Comp7}{space 1}{space 1}{ralign 8:Comp8}{space 1}{space 1}{ralign 8:Comp9}{space 1}{space 1}{ralign 8:Comp10}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1898}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4411}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4618}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0661}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4673}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5571}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0990}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0764}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0463}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0215}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3181}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3231}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1472}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0020}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2943}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5912}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2100}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3564}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3176}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1837}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3535}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1532}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2497}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0141}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2291}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3662}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0022}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5732}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3584}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3513}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1019}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1877}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.7887}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1841}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4091}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2579}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0248}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2105}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0696}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1155}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3269}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3576}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0307}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0232}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1700}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1022}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.6370}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4009}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3292}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1298}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3649}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2913}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1016}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1678}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0207}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1766}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0949}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0360}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.6124}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5693}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3334}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2991}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0362}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1457}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0490}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2244}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6917}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2836}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4037}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0420}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0602}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2562}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2012}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.9215}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1332}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0262}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1002}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0526}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0625}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0774}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3132}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3807}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0853}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2004}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4914}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1312}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1868}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1639}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2302}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1723}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3618}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2571}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1182}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1352}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4292}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1032}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0784}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0445}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1785}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2181}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3790}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2520}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0794}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0636}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0003}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1378}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0353}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4693}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1690}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.6349}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}

{space 4}{hline 13}{c  TT}{hline 10}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp11}{space 1}
{space 4}{hline 13}{c   +}{hline 10}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0696}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1757}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.1483}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0365}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.1810}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0503}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0230}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0029}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.5536}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.6988}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3322}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}
 
Warning: f132010 has 833 values < 0. Used in calculations
 
Distributional summary statistics, 5 quantile groups

{hline 10}{c TT}{hline 64}
Quantile  {c |}
group     {c |}    Quantile  % of median     Share, %      L(p), %        GL(p)
{hline 10}{c +}{hline 64}
        1 {c |}      {res}-1.760      595.530   -5.162e+09   -5.162e+09       -0.496
        {txt}2 {c |}      {res}-0.598      202.403   -2.450e+09   -7.612e+09       -0.732
        {txt}3 {c |}       {res}0.416     -140.894   -7.626e+07   -7.689e+09       -0.739
        {txt}4 {c |}       {res}1.783     -603.576    1.667e+09   -6.022e+09       -0.579
        {txt}5 {c |}            {res}                 6.022e+09      100.000        0.000
{txt}{hline 10}{c BT}{hline 64}
Share = quantile group share of total f132010; 
L(p)=cumulative group share; GL(p)=L(p)*mean(f132010)
(1,550 real changes made)
(1,550 real changes made)
Now calculating 3_2012

Principal components/correlation{col 50}Number of obs    = {res}     1,498
{col 50}{txt}Number of comp.  = {res}        11
{col 50}{txt}Trace            {col 67}=  {res}       11
{col 5}{txt}Rotation: (unrotated = principal){col 50}Rho              = {res}    1.0000

{txt}{col 5}{hline 13}{c TT}{hline 60}
{col 5}   Component {c |}   Eigenvalue   Difference         Proportion   Cumulative
{col 5}{hline 13}{c +}{hline 60}
{col 5}{ralign 12:Comp1} {c |}{res}      3.40466      2.25787             0.3095       0.3095
{txt}{col 5}{ralign 12:Comp2} {c |}{res}      1.14679     .0382144             0.1043       0.4138
{txt}{col 5}{ralign 12:Comp3} {c |}{res}      1.10858       .13382             0.1008       0.5145
{txt}{col 5}{ralign 12:Comp4} {c |}{res}      .974758     .0820214             0.0886       0.6032
{txt}{col 5}{ralign 12:Comp5} {c |}{res}      .892737      .178188             0.0812       0.6843
{txt}{col 5}{ralign 12:Comp6} {c |}{res}      .714548     .0643629             0.0650       0.7493
{txt}{col 5}{ralign 12:Comp7} {c |}{res}      .650185     .0701974             0.0591       0.8084
{txt}{col 5}{ralign 12:Comp8} {c |}{res}      .579988     .0404417             0.0527       0.8611
{txt}{col 5}{ralign 12:Comp9} {c |}{res}      .539546     .0354545             0.0490       0.9102
{txt}{col 5}{ralign 12:Comp10} {c |}{res}      .504092     .0199816             0.0458       0.9560
{txt}{col 5}{ralign 12:Comp11} {c |}{res}       .48411            .             0.0440       1.0000
{txt}{col 5}{hline 13}{c BT}{hline 60}

Principal components (eigenvectors) 

{space 4}{hline 13}{c  TT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp1}{space 1}{space 1}{ralign 8:Comp2}{space 1}{space 1}{ralign 8:Comp3}{space 1}{space 1}{ralign 8:Comp4}{space 1}{space 1}{ralign 8:Comp5}{space 1}{space 1}{ralign 8:Comp6}{space 1}{space 1}{ralign 8:Comp7}{space 1}{space 1}{ralign 8:Comp8}{space 1}{space 1}{ralign 8:Comp9}{space 1}{space 1}{ralign 8:Comp10}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2102}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5945}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2709}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0280}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3817}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1892}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2825}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5117}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0671}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0192}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3347}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3626}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0363}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0941}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3050}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0181}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0306}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.7734}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1188}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0750}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3614}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0592}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1875}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0567}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2662}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0199}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.6160}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0980}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5244}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1410}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1181}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2884}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6284}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0966}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6079}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1574}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2519}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0758}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1346}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0275}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2926}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2985}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2152}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2019}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1809}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.7332}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3474}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0475}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0197}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1378}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3681}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3159}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1244}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1315}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1045}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2316}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1620}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0401}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2399}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.7564}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3481}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2822}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1097}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0043}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1295}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5506}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3207}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1669}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0166}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5093}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1065}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1596}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1299}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.9382}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2332}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0675}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0166}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0304}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0086}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0742}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2544}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2488}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5194}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1744}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4030}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1877}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3382}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0100}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3931}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1387}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3546}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1956}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3619}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0806}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1953}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0644}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0846}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1352}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5674}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2324}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3940}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1847}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0611}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0518}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0740}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0190}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3236}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2715}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3919}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2098}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}

{space 4}{hline 13}{c  TT}{hline 10}{c  TT}{hline 13}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp11}{space 1}{c |}{space 1}{ralign 11:Unexplained}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{c   +}{hline 13}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0130}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.1849}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2690}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1272}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1598}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0990}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2771}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0209}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.2954}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.5050}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.6499}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{c  BT}{hline 13}
{txt}({bf:score} assumed)
(10 components skipped)

Scoring coefficients 
{col 5}sum of squares(column-loading) = 1

{space 4}{hline 13}{c  TT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp1}{space 1}{space 1}{ralign 8:Comp2}{space 1}{space 1}{ralign 8:Comp3}{space 1}{space 1}{ralign 8:Comp4}{space 1}{space 1}{ralign 8:Comp5}{space 1}{space 1}{ralign 8:Comp6}{space 1}{space 1}{ralign 8:Comp7}{space 1}{space 1}{ralign 8:Comp8}{space 1}{space 1}{ralign 8:Comp9}{space 1}{space 1}{ralign 8:Comp10}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2102}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5945}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2709}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0280}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3817}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1892}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2825}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5117}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0671}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0192}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3347}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3626}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0363}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0941}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3050}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0181}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0306}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.7734}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1188}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0750}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3614}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0592}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1875}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0567}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2662}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0199}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.6160}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0980}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5244}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1410}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1181}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2884}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6284}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0966}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6079}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1574}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2519}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0758}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1346}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0275}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2926}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2985}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2152}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2019}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1809}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.7332}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3474}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0475}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0197}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1378}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3681}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3159}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1244}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1315}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1045}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2316}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1620}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0401}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2399}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.7564}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3481}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2822}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1097}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0043}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1295}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5506}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3207}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1669}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0166}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5093}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1065}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1596}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1299}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.9382}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2332}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0675}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0166}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0304}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0086}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0742}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2544}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2488}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5194}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1744}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4030}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1877}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3382}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0100}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3931}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1387}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3546}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1956}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3619}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0806}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1953}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0644}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0846}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1352}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5674}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2324}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3940}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1847}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0611}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0518}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0740}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0190}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3236}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2715}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3919}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2098}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}

{space 4}{hline 13}{c  TT}{hline 10}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp11}{space 1}
{space 4}{hline 13}{c   +}{hline 10}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0130}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.1849}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2690}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1272}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1598}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0990}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2771}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0209}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.2954}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.5050}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.6499}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}
 
Warning: f132012 has 877 values < 0. Used in calculations
 
Distributional summary statistics, 5 quantile groups

{hline 10}{c TT}{hline 64}
Quantile  {c |}
group     {c |}    Quantile  % of median     Share, %      L(p), %        GL(p)
{hline 10}{c +}{hline 64}
        1 {c |}      {res}-1.617      974.113   -1.692e+10   -1.692e+10       -0.473
        {txt}2 {c |}      {res}-0.879      529.653   -8.444e+09   -2.536e+10       -0.709
        {txt}3 {c |}       {res}0.098      -59.178   -1.573e+09   -2.693e+10       -0.753
        {txt}4 {c |}       {res}1.539     -927.150    6.422e+09   -2.051e+10       -0.574
        {txt}5 {c |}            {res}                 2.051e+10      100.000        0.000
{txt}{hline 10}{c BT}{hline 64}
Share = quantile group share of total f132012; 
L(p)=cumulative group share; GL(p)=L(p)*mean(f132012)
(1,498 real changes made)
(1,498 real changes made)
Now calculating 3_2014

Principal components/correlation{col 50}Number of obs    = {res}     1,504
{col 50}{txt}Number of comp.  = {res}        11
{col 50}{txt}Trace            {col 67}=  {res}       11
{col 5}{txt}Rotation: (unrotated = principal){col 50}Rho              = {res}    1.0000

{txt}{col 5}{hline 13}{c TT}{hline 60}
{col 5}   Component {c |}   Eigenvalue   Difference         Proportion   Cumulative
{col 5}{hline 13}{c +}{hline 60}
{col 5}{ralign 12:Comp1} {c |}{res}      3.15573      1.95986             0.2869       0.2869
{txt}{col 5}{ralign 12:Comp2} {c |}{res}      1.19587      .112817             0.1087       0.3956
{txt}{col 5}{ralign 12:Comp3} {c |}{res}      1.08305      .136529             0.0985       0.4941
{txt}{col 5}{ralign 12:Comp4} {c |}{res}      .946525      .106295             0.0860       0.5801
{txt}{col 5}{ralign 12:Comp5} {c |}{res}       .84023      .092232             0.0764       0.6565
{txt}{col 5}{ralign 12:Comp6} {c |}{res}      .747999       .04315             0.0680       0.7245
{txt}{col 5}{ralign 12:Comp7} {c |}{res}      .704848     .0393003             0.0641       0.7886
{txt}{col 5}{ralign 12:Comp8} {c |}{res}      .665548     .0642319             0.0605       0.8491
{txt}{col 5}{ralign 12:Comp9} {c |}{res}      .601316     .0623621             0.0547       0.9037
{txt}{col 5}{ralign 12:Comp10} {c |}{res}      .538954     .0190311             0.0490       0.9527
{txt}{col 5}{ralign 12:Comp11} {c |}{res}      .519923            .             0.0473       1.0000
{txt}{col 5}{hline 13}{c BT}{hline 60}

Principal components (eigenvectors) 

{space 4}{hline 13}{c  TT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp1}{space 1}{space 1}{ralign 8:Comp2}{space 1}{space 1}{ralign 8:Comp3}{space 1}{space 1}{ralign 8:Comp4}{space 1}{space 1}{ralign 8:Comp5}{space 1}{space 1}{ralign 8:Comp6}{space 1}{space 1}{ralign 8:Comp7}{space 1}{space 1}{ralign 8:Comp8}{space 1}{space 1}{ralign 8:Comp9}{space 1}{space 1}{ralign 8:Comp10}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2077}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4218}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4042}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0944}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4645}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5657}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1023}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1947}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0935}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0437}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3050}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2032}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1772}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2657}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3429}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5993}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2707}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4061}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1344}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1687}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3475}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0008}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2657}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0094}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3678}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1283}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6056}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0167}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2438}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3459}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1171}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1122}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6513}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.6027}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2600}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2103}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2095}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0810}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0927}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0540}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3196}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3677}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1018}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0124}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0281}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2482}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4280}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.6551}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1779}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1182}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3666}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2572}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1184}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1070}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0853}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2384}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1055}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3365}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6159}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4416}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3475}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2625}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0869}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2546}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0120}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3387}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3018}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3612}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4884}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3114}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1179}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3784}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4627}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6480}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2900}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1268}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2706}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1265}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0451}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1319}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2785}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4998}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1437}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2073}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4719}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0719}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0240}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1218}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0832}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2727}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3635}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2865}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2009}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0199}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3808}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0761}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0595}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0164}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0832}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4773}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3853}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1511}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0581}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1320}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0617}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0038}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3779}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2939}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4896}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4707}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}

{space 4}{hline 13}{c  TT}{hline 10}{c  TT}{hline 13}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp11}{space 1}{c |}{space 1}{ralign 11:Unexplained}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{c   +}{hline 13}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.1089}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0477}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3328}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1118}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1781}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.1059}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2569}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0064}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.5333}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.5964}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.3370}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{c  BT}{hline 13}
{txt}({bf:score} assumed)
(10 components skipped)

Scoring coefficients 
{col 5}sum of squares(column-loading) = 1

{space 4}{hline 13}{c  TT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp1}{space 1}{space 1}{ralign 8:Comp2}{space 1}{space 1}{ralign 8:Comp3}{space 1}{space 1}{ralign 8:Comp4}{space 1}{space 1}{ralign 8:Comp5}{space 1}{space 1}{ralign 8:Comp6}{space 1}{space 1}{ralign 8:Comp7}{space 1}{space 1}{ralign 8:Comp8}{space 1}{space 1}{ralign 8:Comp9}{space 1}{space 1}{ralign 8:Comp10}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2077}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4218}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4042}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0944}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4645}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5657}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1023}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1947}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0935}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0437}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3050}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2032}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1772}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2657}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3429}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5993}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2707}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4061}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1344}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1687}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3475}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0008}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2657}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0094}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3678}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1283}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6056}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0167}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2438}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3459}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1171}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1122}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6513}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.6027}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2600}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2103}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2095}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0810}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0927}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0540}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3196}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3677}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1018}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0124}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0281}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2482}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4280}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.6551}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1779}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1182}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3666}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2572}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1184}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1070}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0853}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2384}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1055}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3365}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6159}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4416}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3475}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2625}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0869}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2546}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0120}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3387}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3018}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3612}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4884}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3114}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1179}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3784}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4627}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6480}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2900}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1268}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2706}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1265}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0451}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1319}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2785}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4998}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1437}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2073}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4719}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0719}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0240}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1218}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0832}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2727}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3635}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2865}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2009}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0199}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3808}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0761}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0595}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0164}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0832}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4773}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3853}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1511}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0581}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1320}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0617}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0038}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3779}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2939}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4896}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4707}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}

{space 4}{hline 13}{c  TT}{hline 10}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp11}{space 1}
{space 4}{hline 13}{c   +}{hline 10}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.1089}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0477}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3328}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1118}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1781}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.1059}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2569}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0064}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.5333}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.5964}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.3370}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}
 
Warning: f132014 has 839 values < 0. Used in calculations
 
Distributional summary statistics, 5 quantile groups

{hline 10}{c TT}{hline 64}
Quantile  {c |}
group     {c |}    Quantile  % of median     Share, %      L(p), %        GL(p)
{hline 10}{c +}{hline 64}
        1 {c |}      {res}-1.530      414.621   -1.645e+10   -1.645e+10       -0.472
        {txt}2 {c |}      {res}-0.378      102.370   -7.082e+09   -2.353e+10       -0.675
        {txt}3 {c |}       {res}0.362      -98.108   -9.111e+08   -2.444e+10       -0.701
        {txt}4 {c |}       {res}1.404     -380.501    5.890e+09   -1.855e+10       -0.532
        {txt}5 {c |}            {res}                 1.855e+10      100.000        0.000
{txt}{hline 10}{c BT}{hline 64}
Share = quantile group share of total f132014; 
L(p)=cumulative group share; GL(p)=L(p)*mean(f132014)
(1,504 real changes made)
(1,504 real changes made)
Now calculating 3_2016

Principal components/correlation{col 50}Number of obs    = {res}     1,541
{col 50}{txt}Number of comp.  = {res}        11
{col 50}{txt}Trace            {col 67}=  {res}       11
{col 5}{txt}Rotation: (unrotated = principal){col 50}Rho              = {res}    1.0000

{txt}{col 5}{hline 13}{c TT}{hline 60}
{col 5}   Component {c |}   Eigenvalue   Difference         Proportion   Cumulative
{col 5}{hline 13}{c +}{hline 60}
{col 5}{ralign 12:Comp1} {c |}{res}      3.06473      1.90583             0.2786       0.2786
{txt}{col 5}{ralign 12:Comp2} {c |}{res}       1.1589     .0459239             0.1054       0.3840
{txt}{col 5}{ralign 12:Comp3} {c |}{res}      1.11298      .173694             0.1012       0.4851
{txt}{col 5}{ralign 12:Comp4} {c |}{res}      .939286     .0643011             0.0854       0.5705
{txt}{col 5}{ralign 12:Comp5} {c |}{res}      .874985      .139912             0.0795       0.6501
{txt}{col 5}{ralign 12:Comp6} {c |}{res}      .735073     .0158805             0.0668       0.7169
{txt}{col 5}{ralign 12:Comp7} {c |}{res}      .719193     .0463526             0.0654       0.7823
{txt}{col 5}{ralign 12:Comp8} {c |}{res}       .67284     .0462225             0.0612       0.8435
{txt}{col 5}{ralign 12:Comp9} {c |}{res}      .626618       .07065             0.0570       0.9004
{txt}{col 5}{ralign 12:Comp10} {c |}{res}      .555968     .0165489             0.0505       0.9510
{txt}{col 5}{ralign 12:Comp11} {c |}{res}      .539419            .             0.0490       1.0000
{txt}{col 5}{hline 13}{c BT}{hline 60}

Principal components (eigenvectors) 

{space 4}{hline 13}{c  TT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp1}{space 1}{space 1}{ralign 8:Comp2}{space 1}{space 1}{ralign 8:Comp3}{space 1}{space 1}{ralign 8:Comp4}{space 1}{space 1}{ralign 8:Comp5}{space 1}{space 1}{ralign 8:Comp6}{space 1}{space 1}{ralign 8:Comp7}{space 1}{space 1}{ralign 8:Comp8}{space 1}{space 1}{ralign 8:Comp9}{space 1}{space 1}{ralign 8:Comp10}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2071}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3964}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4866}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3265}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2417}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0979}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3745}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4211}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2656}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0108}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3077}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2166}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3110}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4046}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0687}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0026}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2933}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5077}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4791}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0610}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3391}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2927}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0042}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1382}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1275}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3649}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4977}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4810}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0557}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3702}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1571}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4187}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1065}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.7480}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3945}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0472}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1685}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0367}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1074}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1673}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3122}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1074}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3967}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1315}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0036}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6970}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2417}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1730}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0031}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1997}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3898}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1156}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2720}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0046}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0357}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2103}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1729}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1756}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2271}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4304}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3571}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0434}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2772}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0018}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0445}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2254}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.6169}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0809}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3861}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1566}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0838}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6422}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2474}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0242}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6243}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2959}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1113}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0873}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0883}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1100}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2277}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2534}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4321}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3196}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5679}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2643}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1052}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2515}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3327}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0366}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3593}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1668}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2736}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1074}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1912}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0680}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0707}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4266}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.6007}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0053}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3974}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0613}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1554}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1399}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1138}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3351}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0164}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1099}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0733}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.7536}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}

{space 4}{hline 13}{c  TT}{hline 10}{c  TT}{hline 13}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp11}{space 1}{c |}{space 1}{ralign 11:Unexplained}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{c   +}{hline 13}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0170}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.1277}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1076}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0455}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3199}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.6463}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.4246}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0400}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.1282}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.4095}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.2893}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{c  BT}{hline 13}
{txt}({bf:score} assumed)
(10 components skipped)

Scoring coefficients 
{col 5}sum of squares(column-loading) = 1

{space 4}{hline 13}{c  TT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp1}{space 1}{space 1}{ralign 8:Comp2}{space 1}{space 1}{ralign 8:Comp3}{space 1}{space 1}{ralign 8:Comp4}{space 1}{space 1}{ralign 8:Comp5}{space 1}{space 1}{ralign 8:Comp6}{space 1}{space 1}{ralign 8:Comp7}{space 1}{space 1}{ralign 8:Comp8}{space 1}{space 1}{ralign 8:Comp9}{space 1}{space 1}{ralign 8:Comp10}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2071}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3964}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4866}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3265}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2417}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0979}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3745}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4211}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2656}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0108}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3077}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2166}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3110}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4046}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0687}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0026}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2933}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5077}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4791}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0610}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3391}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2927}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0042}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1382}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1275}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3649}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4977}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4810}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0557}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3702}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1571}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4187}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1065}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.7480}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3945}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0472}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1685}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0367}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1074}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1673}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3122}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1074}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3967}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1315}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0036}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6970}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2417}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1730}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0031}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1997}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3898}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1156}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2720}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0046}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0357}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2103}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1729}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1756}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2271}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4304}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3571}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0434}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2772}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0018}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0445}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2254}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.6169}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0809}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3861}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1566}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0838}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6422}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2474}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0242}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6243}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2959}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1113}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0873}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0883}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1100}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2277}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2534}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4321}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3196}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5679}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2643}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1052}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2515}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3327}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0366}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3593}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1668}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2736}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1074}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1912}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0680}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0707}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4266}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.6007}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0053}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3974}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0613}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1554}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1399}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1138}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3351}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0164}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1099}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0733}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.7536}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}

{space 4}{hline 13}{c  TT}{hline 10}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp11}{space 1}
{space 4}{hline 13}{c   +}{hline 10}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0170}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.1277}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1076}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0455}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3199}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.6463}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.4246}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0400}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.1282}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.4095}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.2893}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}
 
Warning: f132016 has 843 values < 0. Used in calculations
 
Distributional summary statistics, 5 quantile groups

{hline 10}{c TT}{hline 64}
Quantile  {c |}
group     {c |}    Quantile  % of median     Share, %      L(p), %        GL(p)
{hline 10}{c +}{hline 64}
        1 {c |}      {res}-1.590      423.627    6.777e+09    6.777e+09       -0.445
        {txt}2 {c |}      {res}-0.578      154.006    3.435e+09    1.021e+10       -0.670
        {txt}3 {c |}       {res}0.357      -95.087    4.467e+08    1.066e+10       -0.699
        {txt}4 {c |}       {res}1.420     -378.316   -2.518e+09    8.141e+09       -0.534
        {txt}5 {c |}            {res}                -8.141e+09      100.000       -0.000
{txt}{hline 10}{c BT}{hline 64}
Share = quantile group share of total f132016; 
L(p)=cumulative group share; GL(p)=L(p)*mean(f132016)
(1,541 real changes made)
(1,541 real changes made)
Now calculating 4_2006

Principal components/correlation{col 50}Number of obs    = {res}     1,585
{col 50}{txt}Number of comp.  = {res}        11
{col 50}{txt}Trace            {col 67}=  {res}       11
{col 5}{txt}Rotation: (unrotated = principal){col 50}Rho              = {res}    1.0000

{txt}{col 5}{hline 13}{c TT}{hline 60}
{col 5}   Component {c |}   Eigenvalue   Difference         Proportion   Cumulative
{col 5}{hline 13}{c +}{hline 60}
{col 5}{ralign 12:Comp1} {c |}{res}      3.93135      2.71331             0.3574       0.3574
{txt}{col 5}{ralign 12:Comp2} {c |}{res}      1.21804      .195681             0.1107       0.4681
{txt}{col 5}{ralign 12:Comp3} {c |}{res}      1.02236     .0788765             0.0929       0.5611
{txt}{col 5}{ralign 12:Comp4} {c |}{res}      .943479      .120268             0.0858       0.6468
{txt}{col 5}{ralign 12:Comp5} {c |}{res}      .823211     .0827899             0.0748       0.7217
{txt}{col 5}{ralign 12:Comp6} {c |}{res}      .740421      .162597             0.0673       0.7890
{txt}{col 5}{ralign 12:Comp7} {c |}{res}      .577825     .0647399             0.0525       0.8415
{txt}{col 5}{ralign 12:Comp8} {c |}{res}      .513085     .0771044             0.0466       0.8882
{txt}{col 5}{ralign 12:Comp9} {c |}{res}       .43598     .0316154             0.0396       0.9278
{txt}{col 5}{ralign 12:Comp10} {c |}{res}      .404365     .0144689             0.0368       0.9646
{txt}{col 5}{ralign 12:Comp11} {c |}{res}      .389896            .             0.0354       1.0000
{txt}{col 5}{hline 13}{c BT}{hline 60}

Principal components (eigenvectors) 

{space 4}{hline 13}{c  TT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp1}{space 1}{space 1}{ralign 8:Comp2}{space 1}{space 1}{ralign 8:Comp3}{space 1}{space 1}{ralign 8:Comp4}{space 1}{space 1}{ralign 8:Comp5}{space 1}{space 1}{ralign 8:Comp6}{space 1}{space 1}{ralign 8:Comp7}{space 1}{space 1}{ralign 8:Comp8}{space 1}{space 1}{ralign 8:Comp9}{space 1}{space 1}{ralign 8:Comp10}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2840}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4130}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2587}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3268}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2037}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0782}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5228}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2728}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1134}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2033}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3627}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2212}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2381}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2625}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1508}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1681}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0729}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0810}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3049}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5075}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3664}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0188}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0514}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0526}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3415}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3264}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2389}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4076}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4550}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4198}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2671}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0921}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2594}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3914}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4647}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5889}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1298}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1500}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1574}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2325}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2459}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2611}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1210}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1200}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6421}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6293}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1238}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1233}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0335}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0431}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3161}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4090}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1222}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1869}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2351}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1905}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1223}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6298}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0433}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1975}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3820}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1812}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0094}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0485}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1146}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0435}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5121}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2178}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1421}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3931}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0720}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0184}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.7627}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6193}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1453}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0775}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0070}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0059}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0035}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0298}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2406}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4591}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3537}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4022}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2858}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1789}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1540}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0575}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4410}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3019}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3393}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3457}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2426}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2281}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0861}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0876}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2227}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0755}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.6484}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3699}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3124}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4156}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1056}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1392}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1112}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1798}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5306}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5120}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1555}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2158}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}

{space 4}{hline 13}{c  TT}{hline 10}{c  TT}{hline 13}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp11}{space 1}{c |}{space 1}{ralign 11:Unexplained}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{c   +}{hline 13}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.3543}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.5296}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1743}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1368}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0235}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3728}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.5651}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0343}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1345}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.1635}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.2000}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{c  BT}{hline 13}
{txt}({bf:score} assumed)
(10 components skipped)

Scoring coefficients 
{col 5}sum of squares(column-loading) = 1

{space 4}{hline 13}{c  TT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp1}{space 1}{space 1}{ralign 8:Comp2}{space 1}{space 1}{ralign 8:Comp3}{space 1}{space 1}{ralign 8:Comp4}{space 1}{space 1}{ralign 8:Comp5}{space 1}{space 1}{ralign 8:Comp6}{space 1}{space 1}{ralign 8:Comp7}{space 1}{space 1}{ralign 8:Comp8}{space 1}{space 1}{ralign 8:Comp9}{space 1}{space 1}{ralign 8:Comp10}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2840}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4130}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2587}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3268}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2037}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0782}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5228}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2728}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1134}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2033}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3627}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2212}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2381}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2625}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1508}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1681}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0729}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0810}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3049}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5075}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3664}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0188}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0514}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0526}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3415}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3264}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2389}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4076}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4550}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4198}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2671}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0921}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2594}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3914}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4647}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5889}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1298}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1500}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1574}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2325}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2459}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2611}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1210}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1200}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6421}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6293}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1238}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1233}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0335}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0431}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3161}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4090}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1222}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1869}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2351}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1905}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1223}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6298}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0433}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1975}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3820}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1812}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0094}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0485}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1146}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0435}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5121}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2178}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1421}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3931}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0720}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0184}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.7627}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6193}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1453}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0775}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0070}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0059}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0035}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0298}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2406}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4591}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3537}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4022}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2858}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1789}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1540}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0575}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4410}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3019}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3393}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3457}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2426}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2281}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0861}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0876}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2227}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0755}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.6484}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3699}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3124}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4156}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1056}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1392}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1112}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1798}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5306}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5120}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1555}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2158}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}

{space 4}{hline 13}{c  TT}{hline 10}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp11}{space 1}
{space 4}{hline 13}{c   +}{hline 10}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.3543}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.5296}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1743}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1368}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0235}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3728}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.5651}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0343}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1345}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.1635}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.2000}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}
 
Warning: f142006 has 832 values < 0. Used in calculations
 
Distributional summary statistics, 5 quantile groups

{hline 10}{c TT}{hline 64}
Quantile  {c |}
group     {c |}    Quantile  % of median     Share, %      L(p), %        GL(p)
{hline 10}{c +}{hline 64}
        1 {c |}      {res}-1.772      545.864   -2.254e+10   -2.254e+10       -0.599
        {txt}2 {c |}      {res}-0.682      210.029   -6.501e+09   -2.904e+10       -0.772
        {txt}3 {c |}       {res}0.337     -103.844   -1.247e+09   -3.029e+10       -0.805
        {txt}4 {c |}       {res}1.772     -545.844    8.623e+09   -2.166e+10       -0.576
        {txt}5 {c |}            {res}                 2.166e+10      100.000        0.000
{txt}{hline 10}{c BT}{hline 64}
Share = quantile group share of total f142006; 
L(p)=cumulative group share; GL(p)=L(p)*mean(f142006)
(1,585 real changes made)
(1,585 real changes made)
Now calculating 4_2008

Principal components/correlation{col 50}Number of obs    = {res}     1,512
{col 50}{txt}Number of comp.  = {res}        11
{col 50}{txt}Trace            {col 67}=  {res}       11
{col 5}{txt}Rotation: (unrotated = principal){col 50}Rho              = {res}    1.0000

{txt}{col 5}{hline 13}{c TT}{hline 60}
{col 5}   Component {c |}   Eigenvalue   Difference         Proportion   Cumulative
{col 5}{hline 13}{c +}{hline 60}
{col 5}{ralign 12:Comp1} {c |}{res}      4.56536      3.21696             0.4150       0.4150
{txt}{col 5}{ralign 12:Comp2} {c |}{res}      1.34841       .42441             0.1226       0.5376
{txt}{col 5}{ralign 12:Comp3} {c |}{res}      .923999     .0926299             0.0840       0.6216
{txt}{col 5}{ralign 12:Comp4} {c |}{res}      .831369      .115815             0.0756       0.6972
{txt}{col 5}{ralign 12:Comp5} {c |}{res}      .715554      .139366             0.0651       0.7622
{txt}{col 5}{ralign 12:Comp6} {c |}{res}      .576188     .0532205             0.0524       0.8146
{txt}{col 5}{ralign 12:Comp7} {c |}{res}      .522968     .0574546             0.0475       0.8622
{txt}{col 5}{ralign 12:Comp8} {c |}{res}      .465513     .0793377             0.0423       0.9045
{txt}{col 5}{ralign 12:Comp9} {c |}{res}      .386175     .0305243             0.0351       0.9396
{txt}{col 5}{ralign 12:Comp10} {c |}{res}      .355651     .0468407             0.0323       0.9719
{txt}{col 5}{ralign 12:Comp11} {c |}{res}       .30881            .             0.0281       1.0000
{txt}{col 5}{hline 13}{c BT}{hline 60}

Principal components (eigenvectors) 

{space 4}{hline 13}{c  TT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp1}{space 1}{space 1}{ralign 8:Comp2}{space 1}{space 1}{ralign 8:Comp3}{space 1}{space 1}{ralign 8:Comp4}{space 1}{space 1}{ralign 8:Comp5}{space 1}{space 1}{ralign 8:Comp6}{space 1}{space 1}{ralign 8:Comp7}{space 1}{space 1}{ralign 8:Comp8}{space 1}{space 1}{ralign 8:Comp9}{space 1}{space 1}{ralign 8:Comp10}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2877}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4320}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2923}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0518}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1063}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1590}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1273}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6488}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3545}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0967}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3610}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2874}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1545}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0555}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0318}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2717}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1473}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0226}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3156}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1954}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3474}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1021}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1914}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3551}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0083}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4798}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0757}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1992}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2980}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2263}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2955}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3513}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2195}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0395}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0551}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5795}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3706}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5060}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0573}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0341}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2112}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3372}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3560}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4139}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.7182}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1040}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0830}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0991}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0104}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0060}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2833}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3644}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0955}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3093}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1008}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5352}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5727}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0773}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2269}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0103}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3630}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1380}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1419}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2302}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0607}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1809}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0746}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2795}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.7238}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3618}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1692}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4451}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4345}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3590}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6582}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0187}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0602}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1332}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0241}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0026}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3016}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1096}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4989}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4727}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0928}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0380}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0278}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0956}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2693}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4768}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3433}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0028}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4399}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2806}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0208}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0394}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0106}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1071}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1401}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.7357}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2914}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3482}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1367}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3399}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1130}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0409}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6885}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3879}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1196}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0183}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}

{space 4}{hline 13}{c  TT}{hline 10}{c  TT}{hline 13}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp11}{space 1}{c |}{space 1}{ralign 11:Unexplained}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{c   +}{hline 13}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1836}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.7248}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.5389}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0537}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0155}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0097}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0326}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0056}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3238}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.1880}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0773}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{c  BT}{hline 13}
{txt}({bf:score} assumed)
(10 components skipped)

Scoring coefficients 
{col 5}sum of squares(column-loading) = 1

{space 4}{hline 13}{c  TT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp1}{space 1}{space 1}{ralign 8:Comp2}{space 1}{space 1}{ralign 8:Comp3}{space 1}{space 1}{ralign 8:Comp4}{space 1}{space 1}{ralign 8:Comp5}{space 1}{space 1}{ralign 8:Comp6}{space 1}{space 1}{ralign 8:Comp7}{space 1}{space 1}{ralign 8:Comp8}{space 1}{space 1}{ralign 8:Comp9}{space 1}{space 1}{ralign 8:Comp10}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2877}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4320}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2923}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0518}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1063}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1590}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1273}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6488}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3545}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0967}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3610}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2874}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1545}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0555}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0318}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2717}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1473}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0226}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3156}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1954}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3474}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1021}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1914}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3551}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0083}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4798}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0757}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1992}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2980}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2263}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2955}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3513}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2195}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0395}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0551}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5795}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3706}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5060}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0573}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0341}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2112}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3372}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3560}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4139}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.7182}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1040}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0830}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0991}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0104}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0060}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2833}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3644}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0955}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3093}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1008}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5352}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5727}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0773}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2269}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0103}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3630}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1380}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1419}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2302}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0607}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1809}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0746}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2795}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.7238}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3618}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1692}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4451}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4345}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3590}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6582}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0187}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0602}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1332}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0241}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0026}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3016}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1096}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4989}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4727}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0928}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0380}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0278}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0956}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2693}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4768}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3433}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0028}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4399}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2806}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0208}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0394}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0106}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1071}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1401}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.7357}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2914}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3482}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1367}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3399}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1130}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0409}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6885}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3879}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1196}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0183}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}

{space 4}{hline 13}{c  TT}{hline 10}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp11}{space 1}
{space 4}{hline 13}{c   +}{hline 10}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1836}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.7248}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.5389}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0537}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0155}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0097}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0326}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0056}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3238}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.1880}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0773}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}
 
Warning: f142008 has 789 values < 0. Used in calculations
 
Distributional summary statistics, 5 quantile groups

{hline 10}{c TT}{hline 64}
Quantile  {c |}
group     {c |}    Quantile  % of median     Share, %      L(p), %        GL(p)
{hline 10}{c +}{hline 64}
        1 {c |}      {res}-1.931      502.570    2.925e+10    2.925e+10       -0.574
        {txt}2 {c |}      {res}-0.505      131.408    1.396e+10    4.321e+10       -0.848
        {txt}3 {c |}       {res}0.271      -70.653    1.620e+09    4.483e+10       -0.880
        {txt}4 {c |}       {res}2.208     -574.735   -1.397e+10    3.087e+10       -0.606
        {txt}5 {c |}            {res}                -3.087e+10      100.000       -0.000
{txt}{hline 10}{c BT}{hline 64}
Share = quantile group share of total f142008; 
L(p)=cumulative group share; GL(p)=L(p)*mean(f142008)
(1,512 real changes made)
(1,512 real changes made)
Now calculating 4_2010

Principal components/correlation{col 50}Number of obs    = {res}     1,596
{col 50}{txt}Number of comp.  = {res}        11
{col 50}{txt}Trace            {col 67}=  {res}       11
{col 5}{txt}Rotation: (unrotated = principal){col 50}Rho              = {res}    1.0000

{txt}{col 5}{hline 13}{c TT}{hline 60}
{col 5}   Component {c |}   Eigenvalue   Difference         Proportion   Cumulative
{col 5}{hline 13}{c +}{hline 60}
{col 5}{ralign 12:Comp1} {c |}{res}      3.97573      2.67923             0.3614       0.3614
{txt}{col 5}{ralign 12:Comp2} {c |}{res}       1.2965      .369419             0.1179       0.4793
{txt}{col 5}{ralign 12:Comp3} {c |}{res}      .927079     .0848657             0.0843       0.5636
{txt}{col 5}{ralign 12:Comp4} {c |}{res}      .842214     .0882099             0.0766       0.6401
{txt}{col 5}{ralign 12:Comp5} {c |}{res}      .754004      .135129             0.0685       0.7087
{txt}{col 5}{ralign 12:Comp6} {c |}{res}      .618875     .0243019             0.0563       0.7649
{txt}{col 5}{ralign 12:Comp7} {c |}{res}      .594573     .0457229             0.0541       0.8190
{txt}{col 5}{ralign 12:Comp8} {c |}{res}       .54885     .0304699             0.0499       0.8689
{txt}{col 5}{ralign 12:Comp9} {c |}{res}       .51838     .0437085             0.0471       0.9160
{txt}{col 5}{ralign 12:Comp10} {c |}{res}      .474672     .0255447             0.0432       0.9592
{txt}{col 5}{ralign 12:Comp11} {c |}{res}      .449127            .             0.0408       1.0000
{txt}{col 5}{hline 13}{c BT}{hline 60}

Principal components (eigenvectors) 

{space 4}{hline 13}{c  TT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp1}{space 1}{space 1}{ralign 8:Comp2}{space 1}{space 1}{ralign 8:Comp3}{space 1}{space 1}{ralign 8:Comp4}{space 1}{space 1}{ralign 8:Comp5}{space 1}{space 1}{ralign 8:Comp6}{space 1}{space 1}{ralign 8:Comp7}{space 1}{space 1}{ralign 8:Comp8}{space 1}{space 1}{ralign 8:Comp9}{space 1}{space 1}{ralign 8:Comp10}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2562}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4714}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0301}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2358}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4485}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3250}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3804}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2494}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1236}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2270}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3447}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2623}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0082}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1099}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3868}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0187}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2306}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2127}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3667}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2406}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3435}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1813}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1346}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0089}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3046}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4134}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1927}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3845}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5049}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3440}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2123}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3883}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2663}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5290}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5746}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3306}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0019}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0466}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1055}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0052}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3033}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2835}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0896}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2810}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2229}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6986}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3902}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0073}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2200}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0052}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3157}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3960}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0655}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0460}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0207}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2215}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3114}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6322}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1375}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0053}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3722}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1354}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0036}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0315}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0970}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2276}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3286}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2801}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3463}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3333}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1762}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0664}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.8914}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3689}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0554}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0979}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0787}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0192}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1036}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0509}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2835}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3424}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2466}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5185}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2098}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0614}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1040}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0355}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4021}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5010}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3328}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1647}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2008}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4014}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3292}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0338}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0664}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0535}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3926}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6239}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3164}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3479}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0432}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0648}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1061}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1019}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6216}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5098}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2653}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1349}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}

{space 4}{hline 13}{c  TT}{hline 10}{c  TT}{hline 13}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp11}{space 1}{c |}{space 1}{ralign 11:Unexplained}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{c   +}{hline 13}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.2741}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.5996}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0946}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0219}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0465}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.4148}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.6029}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0352}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0116}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0246}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.1276}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{c  BT}{hline 13}
{txt}({bf:score} assumed)
(10 components skipped)

Scoring coefficients 
{col 5}sum of squares(column-loading) = 1

{space 4}{hline 13}{c  TT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp1}{space 1}{space 1}{ralign 8:Comp2}{space 1}{space 1}{ralign 8:Comp3}{space 1}{space 1}{ralign 8:Comp4}{space 1}{space 1}{ralign 8:Comp5}{space 1}{space 1}{ralign 8:Comp6}{space 1}{space 1}{ralign 8:Comp7}{space 1}{space 1}{ralign 8:Comp8}{space 1}{space 1}{ralign 8:Comp9}{space 1}{space 1}{ralign 8:Comp10}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2562}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4714}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0301}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2358}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4485}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3250}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3804}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2494}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1236}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2270}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3447}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2623}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0082}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1099}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3868}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0187}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2306}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2127}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3667}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2406}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3435}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1813}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1346}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0089}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3046}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4134}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1927}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3845}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5049}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3440}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2123}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3883}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2663}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5290}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5746}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3306}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0019}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0466}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1055}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0052}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3033}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2835}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0896}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2810}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2229}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6986}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3902}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0073}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2200}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0052}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3157}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3960}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0655}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0460}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0207}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2215}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3114}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6322}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1375}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0053}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3722}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1354}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0036}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0315}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0970}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2276}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3286}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2801}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3463}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3333}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1762}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0664}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.8914}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3689}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0554}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0979}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0787}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0192}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1036}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0509}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2835}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3424}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2466}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5185}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2098}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0614}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1040}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0355}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4021}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5010}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3328}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1647}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2008}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4014}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3292}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0338}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0664}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0535}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3926}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6239}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3164}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3479}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0432}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0648}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1061}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1019}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6216}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5098}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2653}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1349}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}

{space 4}{hline 13}{c  TT}{hline 10}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp11}{space 1}
{space 4}{hline 13}{c   +}{hline 10}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.2741}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.5996}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0946}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0219}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0465}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.4148}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.6029}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0352}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0116}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0246}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.1276}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}
 
Warning: f142010 has 812 values < 0. Used in calculations
 
Distributional summary statistics, 5 quantile groups

{hline 10}{c TT}{hline 64}
Quantile  {c |}
group     {c |}    Quantile  % of median     Share, %      L(p), %        GL(p)
{hline 10}{c +}{hline 64}
        1 {c |}      {res}-1.927     1486.468    1.210e+11    1.210e+11       -0.517
        {txt}2 {c |}      {res}-0.631      486.589    5.616e+10    1.772e+11       -0.757
        {txt}3 {c |}       {res}0.159     -122.302    9.955e+09    1.872e+11       -0.799
        {txt}4 {c |}       {res}1.605    -1237.879   -4.262e+10    1.445e+11       -0.617
        {txt}5 {c |}            {res}                -1.445e+11       99.999       -0.000
{txt}{hline 10}{c BT}{hline 64}
Share = quantile group share of total f142010; 
L(p)=cumulative group share; GL(p)=L(p)*mean(f142010)
(1,596 real changes made)
(1,596 real changes made)
Now calculating 4_2012

Principal components/correlation{col 50}Number of obs    = {res}     1,728
{col 50}{txt}Number of comp.  = {res}        11
{col 50}{txt}Trace            {col 67}=  {res}       11
{col 5}{txt}Rotation: (unrotated = principal){col 50}Rho              = {res}    1.0000

{txt}{col 5}{hline 13}{c TT}{hline 60}
{col 5}   Component {c |}   Eigenvalue   Difference         Proportion   Cumulative
{col 5}{hline 13}{c +}{hline 60}
{col 5}{ralign 12:Comp1} {c |}{res}      3.82154      2.37819             0.3474       0.3474
{txt}{col 5}{ralign 12:Comp2} {c |}{res}      1.44336      .534474             0.1312       0.4786
{txt}{col 5}{ralign 12:Comp3} {c |}{res}      .908885      .135628             0.0826       0.5613
{txt}{col 5}{ralign 12:Comp4} {c |}{res}      .773257     .0245216             0.0703       0.6315
{txt}{col 5}{ralign 12:Comp5} {c |}{res}      .748735     .0313142             0.0681       0.6996
{txt}{col 5}{ralign 12:Comp6} {c |}{res}      .717421     .0622631             0.0652       0.7648
{txt}{col 5}{ralign 12:Comp7} {c |}{res}      .655158       .11431             0.0596       0.8244
{txt}{col 5}{ralign 12:Comp8} {c |}{res}      .540848     .0173843             0.0492       0.8736
{txt}{col 5}{ralign 12:Comp9} {c |}{res}      .523464      .052686             0.0476       0.9212
{txt}{col 5}{ralign 12:Comp10} {c |}{res}      .470778     .0742269             0.0428       0.9639
{txt}{col 5}{ralign 12:Comp11} {c |}{res}      .396551            .             0.0361       1.0000
{txt}{col 5}{hline 13}{c BT}{hline 60}

Principal components (eigenvectors) 

{space 4}{hline 13}{c  TT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp1}{space 1}{space 1}{ralign 8:Comp2}{space 1}{space 1}{ralign 8:Comp3}{space 1}{space 1}{ralign 8:Comp4}{space 1}{space 1}{ralign 8:Comp5}{space 1}{space 1}{ralign 8:Comp6}{space 1}{space 1}{ralign 8:Comp7}{space 1}{space 1}{ralign 8:Comp8}{space 1}{space 1}{ralign 8:Comp9}{space 1}{space 1}{ralign 8:Comp10}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3003}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4079}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1800}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1550}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1588}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3024}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0263}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4165}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4942}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0644}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3575}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2420}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0545}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1708}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2731}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3949}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0224}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0163}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3161}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1881}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2765}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0897}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5361}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0952}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5226}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3183}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4380}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0362}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0936}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2013}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2603}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2652}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4639}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2634}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2308}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6151}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1238}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3215}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1183}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0862}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2595}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3000}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0354}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.6299}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4555}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0019}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4440}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0969}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1315}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1064}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3196}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3380}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1314}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1995}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0050}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0669}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4535}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2274}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5585}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3383}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3612}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1842}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0627}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1420}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0365}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3336}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3459}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3221}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1911}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5786}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1987}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3533}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6185}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4367}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1329}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2022}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4349}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0898}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0183}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0588}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2692}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4330}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0251}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3128}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5042}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1837}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0753}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0235}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1873}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4558}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3547}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1716}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2198}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3504}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2817}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0464}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1082}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1382}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3845}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4872}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3164}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3417}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0902}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0176}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1174}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2836}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2502}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.7273}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2901}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0586}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}

{space 4}{hline 13}{c  TT}{hline 10}{c  TT}{hline 13}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp11}{space 1}{c |}{space 1}{ralign 11:Unexplained}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{c   +}{hline 13}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.3845}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.6441}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0472}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0749}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0443}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1955}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.3230}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0539}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3234}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.4198}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0364}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{c  BT}{hline 13}
{txt}({bf:score} assumed)
(10 components skipped)

Scoring coefficients 
{col 5}sum of squares(column-loading) = 1

{space 4}{hline 13}{c  TT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp1}{space 1}{space 1}{ralign 8:Comp2}{space 1}{space 1}{ralign 8:Comp3}{space 1}{space 1}{ralign 8:Comp4}{space 1}{space 1}{ralign 8:Comp5}{space 1}{space 1}{ralign 8:Comp6}{space 1}{space 1}{ralign 8:Comp7}{space 1}{space 1}{ralign 8:Comp8}{space 1}{space 1}{ralign 8:Comp9}{space 1}{space 1}{ralign 8:Comp10}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3003}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4079}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1800}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1550}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1588}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3024}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0263}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4165}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4942}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0644}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3575}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2420}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0545}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1708}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2731}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3949}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0224}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0163}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3161}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1881}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2765}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0897}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5361}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0952}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5226}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3183}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4380}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0362}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0936}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2013}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2603}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2652}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4639}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2634}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2308}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6151}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1238}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3215}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1183}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0862}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2595}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3000}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0354}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.6299}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4555}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0019}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4440}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0969}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1315}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1064}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3196}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3380}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1314}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1995}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0050}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0669}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4535}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2274}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5585}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3383}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3612}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1842}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0627}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1420}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0365}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3336}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3459}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3221}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1911}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5786}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1987}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3533}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6185}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4367}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1329}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2022}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4349}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0898}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0183}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0588}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2692}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4330}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0251}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3128}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5042}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1837}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0753}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0235}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1873}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4558}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3547}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1716}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2198}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3504}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2817}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0464}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1082}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1382}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3845}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4872}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3164}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3417}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0902}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0176}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1174}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2836}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2502}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.7273}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2901}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0586}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}

{space 4}{hline 13}{c  TT}{hline 10}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp11}{space 1}
{space 4}{hline 13}{c   +}{hline 10}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.3845}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.6441}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0472}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0749}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0443}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1955}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.3230}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0539}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3234}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.4198}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0364}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}
 
Warning: f142012 has 800 values < 0. Used in calculations
 
Distributional summary statistics, 5 quantile groups

{hline 10}{c TT}{hline 64}
Quantile  {c |}
group     {c |}    Quantile  % of median     Share, %      L(p), %        GL(p)
{hline 10}{c +}{hline 64}
        1 {c |}      {res}-1.612    -5408.953    1.033e+10    1.033e+10       -0.551
        {txt}2 {c |}      {res}-0.634    -2128.935    4.007e+09    1.434e+10       -0.765
        {txt}3 {c |}       {res}0.535     1794.499    1.067e+08    1.445e+10       -0.770
        {txt}4 {c |}       {res}1.648     5530.138   -3.873e+09    1.057e+10       -0.564
        {txt}5 {c |}            {res}                -1.057e+10      100.000       -0.000
{txt}{hline 10}{c BT}{hline 64}
Share = quantile group share of total f142012; 
L(p)=cumulative group share; GL(p)=L(p)*mean(f142012)
(1,728 real changes made)
(1,728 real changes made)
Now calculating 4_2014

Principal components/correlation{col 50}Number of obs    = {res}     1,536
{col 50}{txt}Number of comp.  = {res}        11
{col 50}{txt}Trace            {col 67}=  {res}       11
{col 5}{txt}Rotation: (unrotated = principal){col 50}Rho              = {res}    1.0000

{txt}{col 5}{hline 13}{c TT}{hline 60}
{col 5}   Component {c |}   Eigenvalue   Difference         Proportion   Cumulative
{col 5}{hline 13}{c +}{hline 60}
{col 5}{ralign 12:Comp1} {c |}{res}       3.4996      2.24371             0.3181       0.3181
{txt}{col 5}{ralign 12:Comp2} {c |}{res}      1.25589      .252117             0.1142       0.4323
{txt}{col 5}{ralign 12:Comp3} {c |}{res}      1.00377     .0916277             0.0913       0.5236
{txt}{col 5}{ralign 12:Comp4} {c |}{res}      .912141     .0677794             0.0829       0.6065
{txt}{col 5}{ralign 12:Comp5} {c |}{res}      .844362      .127627             0.0768       0.6833
{txt}{col 5}{ralign 12:Comp6} {c |}{res}      .716735     .0333419             0.0652       0.7484
{txt}{col 5}{ralign 12:Comp7} {c |}{res}      .683393     .0956054             0.0621       0.8105
{txt}{col 5}{ralign 12:Comp8} {c |}{res}      .587788     .0598059             0.0534       0.8640
{txt}{col 5}{ralign 12:Comp9} {c |}{res}      .527982     .0328007             0.0480       0.9120
{txt}{col 5}{ralign 12:Comp10} {c |}{res}      .495181     .0220193             0.0450       0.9570
{txt}{col 5}{ralign 12:Comp11} {c |}{res}      .473162            .             0.0430       1.0000
{txt}{col 5}{hline 13}{c BT}{hline 60}

Principal components (eigenvectors) 

{space 4}{hline 13}{c  TT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp1}{space 1}{space 1}{ralign 8:Comp2}{space 1}{space 1}{ralign 8:Comp3}{space 1}{space 1}{ralign 8:Comp4}{space 1}{space 1}{ralign 8:Comp5}{space 1}{space 1}{ralign 8:Comp6}{space 1}{space 1}{ralign 8:Comp7}{space 1}{space 1}{ralign 8:Comp8}{space 1}{space 1}{ralign 8:Comp9}{space 1}{space 1}{ralign 8:Comp10}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2747}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4646}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1061}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0442}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4998}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1329}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2085}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3365}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2552}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0216}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3474}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3889}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0215}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0501}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2883}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1195}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0625}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1777}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2301}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0585}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2892}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2847}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1915}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0620}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2183}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.7264}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4446}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0867}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0838}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0731}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1547}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2780}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5477}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5806}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4372}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2515}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0370}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0120}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0467}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0310}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2880}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3398}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1003}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0129}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2349}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5650}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6160}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1146}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0435}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1351}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3434}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2986}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0719}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1785}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0041}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0704}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3434}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6488}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3703}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2727}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3703}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0619}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0324}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1307}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1571}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0997}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4415}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.6388}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1316}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1599}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1232}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1910}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.7206}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6155}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0723}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1519}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1072}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0052}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0933}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0145}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2781}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2942}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2877}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4164}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4932}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1347}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0593}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0114}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2792}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4863}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3703}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1698}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1826}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2020}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3117}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0235}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0068}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0584}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3064}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.7379}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3587}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3380}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0019}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1116}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0524}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0334}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2149}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0422}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.7320}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3005}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}

{space 4}{hline 13}{c  TT}{hline 10}{c  TT}{hline 13}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp11}{space 1}{c |}{space 1}{ralign 11:Unexplained}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{c   +}{hline 13}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.4535}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.7320}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0432}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0518}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0646}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0211}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.4005}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0377}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0216}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1427}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.2582}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{c  BT}{hline 13}
{txt}({bf:score} assumed)
(10 components skipped)

Scoring coefficients 
{col 5}sum of squares(column-loading) = 1

{space 4}{hline 13}{c  TT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp1}{space 1}{space 1}{ralign 8:Comp2}{space 1}{space 1}{ralign 8:Comp3}{space 1}{space 1}{ralign 8:Comp4}{space 1}{space 1}{ralign 8:Comp5}{space 1}{space 1}{ralign 8:Comp6}{space 1}{space 1}{ralign 8:Comp7}{space 1}{space 1}{ralign 8:Comp8}{space 1}{space 1}{ralign 8:Comp9}{space 1}{space 1}{ralign 8:Comp10}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2747}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4646}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1061}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0442}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4998}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1329}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2085}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3365}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2552}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0216}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3474}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3889}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0215}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0501}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2883}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1195}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0625}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1777}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2301}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0585}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2892}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2847}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1915}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0620}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2183}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.7264}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4446}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0867}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0838}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0731}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1547}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2780}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5477}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5806}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4372}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2515}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0370}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0120}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0467}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0310}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2880}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3398}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1003}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0129}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2349}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5650}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6160}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1146}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0435}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1351}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3434}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2986}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0719}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1785}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0041}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0704}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3434}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6488}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3703}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2727}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3703}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0619}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0324}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1307}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1571}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0997}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4415}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.6388}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1316}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1599}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1232}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1910}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.7206}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6155}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0723}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1519}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1072}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0052}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0933}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0145}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2781}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2942}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2877}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4164}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4932}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1347}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0593}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0114}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2792}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4863}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3703}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1698}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1826}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2020}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3117}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0235}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0068}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0584}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3064}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.7379}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3587}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3380}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0019}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1116}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0524}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0334}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2149}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0422}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.7320}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3005}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}

{space 4}{hline 13}{c  TT}{hline 10}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp11}{space 1}
{space 4}{hline 13}{c   +}{hline 10}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.4535}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.7320}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0432}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0518}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0646}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0211}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.4005}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0377}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0216}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1427}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.2582}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}
 
Warning: f142014 has 853 values < 0. Used in calculations
 
Distributional summary statistics, 5 quantile groups

{hline 10}{c TT}{hline 64}
Quantile  {c |}
group     {c |}    Quantile  % of median     Share, %      L(p), %        GL(p)
{hline 10}{c +}{hline 64}
        1 {c |}      {res}-1.659     1248.802   -8.014e+09   -8.014e+09       -0.524
        {txt}2 {c |}      {res}-0.642      483.187   -3.172e+09   -1.119e+10       -0.731
        {txt}3 {c |}       {res}0.409     -307.842   -2.613e+08   -1.145e+10       -0.748
        {txt}4 {c |}       {res}1.512    -1138.488    2.941e+09   -8.506e+09       -0.556
        {txt}5 {c |}            {res}                 8.506e+09      100.000        0.000
{txt}{hline 10}{c BT}{hline 64}
Share = quantile group share of total f142014; 
L(p)=cumulative group share; GL(p)=L(p)*mean(f142014)
(1,536 real changes made)
(1,536 real changes made)
Now calculating 4_2016

Principal components/correlation{col 50}Number of obs    = {res}     1,552
{col 50}{txt}Number of comp.  = {res}        11
{col 50}{txt}Trace            {col 67}=  {res}       11
{col 5}{txt}Rotation: (unrotated = principal){col 50}Rho              = {res}    1.0000

{txt}{col 5}{hline 13}{c TT}{hline 60}
{col 5}   Component {c |}   Eigenvalue   Difference         Proportion   Cumulative
{col 5}{hline 13}{c +}{hline 60}
{col 5}{ralign 12:Comp1} {c |}{res}      3.34222      2.12472             0.3038       0.3038
{txt}{col 5}{ralign 12:Comp2} {c |}{res}       1.2175      .142124             0.1107       0.4145
{txt}{col 5}{ralign 12:Comp3} {c |}{res}      1.07538      .202664             0.0978       0.5123
{txt}{col 5}{ralign 12:Comp4} {c |}{res}      .872711     .0432996             0.0793       0.5916
{txt}{col 5}{ralign 12:Comp5} {c |}{res}      .829412     .0783573             0.0754       0.6670
{txt}{col 5}{ralign 12:Comp6} {c |}{res}      .751054     .0276726             0.0683       0.7353
{txt}{col 5}{ralign 12:Comp7} {c |}{res}      .723382      .123245             0.0658       0.8011
{txt}{col 5}{ralign 12:Comp8} {c |}{res}      .600137     .0428323             0.0546       0.8556
{txt}{col 5}{ralign 12:Comp9} {c |}{res}      .557304     .0101414             0.0507       0.9063
{txt}{col 5}{ralign 12:Comp10} {c |}{res}      .547163     .0634172             0.0497       0.9560
{txt}{col 5}{ralign 12:Comp11} {c |}{res}      .483746            .             0.0440       1.0000
{txt}{col 5}{hline 13}{c BT}{hline 60}

Principal components (eigenvectors) 

{space 4}{hline 13}{c  TT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp1}{space 1}{space 1}{ralign 8:Comp2}{space 1}{space 1}{ralign 8:Comp3}{space 1}{space 1}{ralign 8:Comp4}{space 1}{space 1}{ralign 8:Comp5}{space 1}{space 1}{ralign 8:Comp6}{space 1}{space 1}{ralign 8:Comp7}{space 1}{space 1}{ralign 8:Comp8}{space 1}{space 1}{ralign 8:Comp9}{space 1}{space 1}{ralign 8:Comp10}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3152}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4094}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1163}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1021}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3244}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3893}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2314}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0711}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1663}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2779}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3738}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3033}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0337}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0672}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1710}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2689}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2208}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2077}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0829}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0743}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2398}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3295}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2102}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1728}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6621}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5103}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2304}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0098}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0820}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0342}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1943}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3577}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3308}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.6679}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2298}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4288}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1902}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0113}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0189}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0348}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2946}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3238}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0656}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1198}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4501}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0123}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6451}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1894}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2675}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2481}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3555}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3314}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0180}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0513}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2666}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0836}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0916}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0928}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4096}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.7031}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3764}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1724}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0938}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1440}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0370}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2474}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2445}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3352}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4450}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5231}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1265}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0121}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.7526}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5286}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0839}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2798}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0450}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0666}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1367}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1175}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2264}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3615}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4539}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3681}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2991}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4171}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1053}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3952}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0681}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0975}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3481}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1990}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2023}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2315}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0003}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0927}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2986}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.7659}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0244}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2408}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3498}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2985}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0701}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0533}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0521}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0518}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4709}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2181}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.7051}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0626}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}

{space 4}{hline 13}{c  TT}{hline 10}{c  TT}{hline 13}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp11}{space 1}{c |}{space 1}{ralign 11:Unexplained}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{c   +}{hline 13}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.5374}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.7462}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0002}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0643}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0426}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0596}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3044}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1172}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1781}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0413}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0707}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{c  BT}{hline 13}
{txt}({bf:score} assumed)
(10 components skipped)

Scoring coefficients 
{col 5}sum of squares(column-loading) = 1

{space 4}{hline 13}{c  TT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp1}{space 1}{space 1}{ralign 8:Comp2}{space 1}{space 1}{ralign 8:Comp3}{space 1}{space 1}{ralign 8:Comp4}{space 1}{space 1}{ralign 8:Comp5}{space 1}{space 1}{ralign 8:Comp6}{space 1}{space 1}{ralign 8:Comp7}{space 1}{space 1}{ralign 8:Comp8}{space 1}{space 1}{ralign 8:Comp9}{space 1}{space 1}{ralign 8:Comp10}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3152}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4094}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1163}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1021}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3244}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3893}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2314}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0711}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1663}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2779}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3738}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3033}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0337}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0672}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1710}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2689}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2208}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2077}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0829}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0743}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2398}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3295}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2102}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1728}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6621}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5103}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2304}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0098}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0820}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0342}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1943}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3577}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3308}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.6679}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2298}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4288}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1902}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0113}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0189}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0348}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2946}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3238}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0656}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1198}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4501}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0123}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6451}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1894}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2675}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2481}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3555}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3314}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0180}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0513}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2666}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0836}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0916}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0928}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4096}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.7031}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3764}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1724}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0938}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1440}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0370}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2474}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2445}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3352}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4450}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5231}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1265}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0121}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.7526}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5286}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0839}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2798}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0450}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0666}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1367}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1175}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2264}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3615}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4539}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3681}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2991}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4171}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1053}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3952}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0681}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0975}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3481}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1990}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2023}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2315}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0003}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0927}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2986}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.7659}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0244}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2408}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3498}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2985}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0701}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0533}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0521}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0518}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4709}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2181}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.7051}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0626}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}

{space 4}{hline 13}{c  TT}{hline 10}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp11}{space 1}
{space 4}{hline 13}{c   +}{hline 10}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.5374}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.7462}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0002}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0643}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0426}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0596}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3044}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1172}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1781}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0413}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0707}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}
 
Warning: f142016 has 834 values < 0. Used in calculations
 
Distributional summary statistics, 5 quantile groups

{hline 10}{c TT}{hline 64}
Quantile  {c |}
group     {c |}    Quantile  % of median     Share, %      L(p), %        GL(p)
{hline 10}{c +}{hline 64}
        1 {c |}      {res}-1.616     2025.423   -1.981e+10   -1.981e+10       -0.533
        {txt}2 {c |}      {res}-0.600      752.073   -6.589e+09   -2.640e+10       -0.710
        {txt}3 {c |}       {res}0.365     -458.112   -4.546e+08   -2.685e+10       -0.722
        {txt}4 {c |}       {res}1.553    -1946.805    7.063e+09   -1.979e+10       -0.532
        {txt}5 {c |}            {res}                 1.979e+10      100.000        0.000
{txt}{hline 10}{c BT}{hline 64}
Share = quantile group share of total f142016; 
L(p)=cumulative group share; GL(p)=L(p)*mean(f142016)
(1,552 real changes made)
(1,552 real changes made)
Now calculating 5_2006

Principal components/correlation{col 50}Number of obs    = {res}     1,762
{col 50}{txt}Number of comp.  = {res}        11
{col 50}{txt}Trace            {col 67}=  {res}       11
{col 5}{txt}Rotation: (unrotated = principal){col 50}Rho              = {res}    1.0000

{txt}{col 5}{hline 13}{c TT}{hline 60}
{col 5}   Component {c |}   Eigenvalue   Difference         Proportion   Cumulative
{col 5}{hline 13}{c +}{hline 60}
{col 5}{ralign 12:Comp1} {c |}{res}      3.92219      2.52967             0.3566       0.3566
{txt}{col 5}{ralign 12:Comp2} {c |}{res}      1.39252      .434149             0.1266       0.4832
{txt}{col 5}{ralign 12:Comp3} {c |}{res}       .95837      .179138             0.0871       0.5703
{txt}{col 5}{ralign 12:Comp4} {c |}{res}      .779233     .0581926             0.0708       0.6411
{txt}{col 5}{ralign 12:Comp5} {c |}{res}       .72104     .0802794             0.0655       0.7067
{txt}{col 5}{ralign 12:Comp6} {c |}{res}      .640761     .0572931             0.0583       0.7649
{txt}{col 5}{ralign 12:Comp7} {c |}{res}      .583467      .014324             0.0530       0.8180
{txt}{col 5}{ralign 12:Comp8} {c |}{res}      .569143     .0486976             0.0517       0.8697
{txt}{col 5}{ralign 12:Comp9} {c |}{res}      .520446     .0427887             0.0473       0.9170
{txt}{col 5}{ralign 12:Comp10} {c |}{res}      .477657     .0424865             0.0434       0.9604
{txt}{col 5}{ralign 12:Comp11} {c |}{res}      .435171            .             0.0396       1.0000
{txt}{col 5}{hline 13}{c BT}{hline 60}

Principal components (eigenvectors) 

{space 4}{hline 13}{c  TT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp1}{space 1}{space 1}{ralign 8:Comp2}{space 1}{space 1}{ralign 8:Comp3}{space 1}{space 1}{ralign 8:Comp4}{space 1}{space 1}{ralign 8:Comp5}{space 1}{space 1}{ralign 8:Comp6}{space 1}{space 1}{ralign 8:Comp7}{space 1}{space 1}{ralign 8:Comp8}{space 1}{space 1}{ralign 8:Comp9}{space 1}{space 1}{ralign 8:Comp10}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2743}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4180}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0090}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0312}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4832}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2890}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5152}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2828}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0703}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1026}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3607}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1705}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0434}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1477}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2439}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2733}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2865}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3910}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0430}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4741}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3591}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1227}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1787}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0427}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0340}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4902}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2400}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2479}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0274}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6279}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3327}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1891}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0680}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2196}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3449}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0308}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2208}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.7914}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0379}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0658}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2689}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2531}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0059}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.7251}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2688}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4639}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1020}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1587}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0338}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1160}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2464}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4270}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0969}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4994}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2770}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4654}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2459}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0596}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3749}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0108}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3218}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3648}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0756}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1812}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0039}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0426}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0929}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0888}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.8288}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1362}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1440}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0404}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.9567}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0027}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0939}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1882}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0968}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0746}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0275}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0348}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3069}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3722}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0346}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2895}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4524}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1956}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1232}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0728}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0193}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3451}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3366}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2948}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0589}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1803}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4586}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0323}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1885}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0250}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0781}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4178}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3005}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3726}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1626}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0531}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1182}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3037}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6376}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1769}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3939}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1980}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}

{space 4}{hline 13}{c  TT}{hline 10}{c  TT}{hline 13}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp11}{space 1}{c |}{space 1}{ralign 11:Unexplained}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{c   +}{hline 13}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2665}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.4705}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2583}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0031}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0130}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0138}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0310}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0346}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.5472}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.5793}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0575}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{c  BT}{hline 13}
{txt}({bf:score} assumed)
(10 components skipped)

Scoring coefficients 
{col 5}sum of squares(column-loading) = 1

{space 4}{hline 13}{c  TT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp1}{space 1}{space 1}{ralign 8:Comp2}{space 1}{space 1}{ralign 8:Comp3}{space 1}{space 1}{ralign 8:Comp4}{space 1}{space 1}{ralign 8:Comp5}{space 1}{space 1}{ralign 8:Comp6}{space 1}{space 1}{ralign 8:Comp7}{space 1}{space 1}{ralign 8:Comp8}{space 1}{space 1}{ralign 8:Comp9}{space 1}{space 1}{ralign 8:Comp10}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2743}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4180}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0090}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0312}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4832}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2890}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5152}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2828}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0703}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1026}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3607}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1705}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0434}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1477}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2439}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2733}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2865}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3910}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0430}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4741}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3591}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1227}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1787}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0427}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0340}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4902}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2400}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2479}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0274}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6279}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3327}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1891}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0680}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2196}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3449}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0308}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2208}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.7914}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0379}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0658}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2689}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2531}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0059}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.7251}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2688}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4639}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1020}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1587}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0338}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1160}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2464}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4270}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0969}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4994}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2770}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4654}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2459}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0596}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3749}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0108}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3218}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3648}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0756}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1812}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0039}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0426}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0929}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0888}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.8288}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1362}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1440}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0404}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.9567}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0027}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0939}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1882}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0968}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0746}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0275}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0348}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3069}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3722}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0346}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2895}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4524}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1956}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1232}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0728}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0193}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3451}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3366}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2948}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0589}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1803}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4586}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0323}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1885}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0250}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0781}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4178}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3005}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3726}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1626}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0531}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1182}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3037}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6376}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1769}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3939}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1980}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}

{space 4}{hline 13}{c  TT}{hline 10}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp11}{space 1}
{space 4}{hline 13}{c   +}{hline 10}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2665}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.4705}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2583}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0031}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0130}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0138}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0310}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0346}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.5472}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.5793}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0575}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}
 
Warning: f152006 has 942 values < 0. Used in calculations
 
Distributional summary statistics, 5 quantile groups

{hline 10}{c TT}{hline 64}
Quantile  {c |}
group     {c |}    Quantile  % of median     Share, %      L(p), %        GL(p)
{hline 10}{c +}{hline 64}
        1 {c |}      {res}-1.801      412.466    1.140e+11    1.140e+11       -0.578
        {txt}2 {c |}      {res}-1.077      246.501    2.969e+10    1.437e+11       -0.729
        {txt}3 {c |}       {res}0.233      -53.239    9.545e+09    1.533e+11       -0.777
        {txt}4 {c |}       {res}1.582     -362.134   -3.082e+10    1.225e+11       -0.621
        {txt}5 {c |}            {res}                -1.225e+11       99.999       -0.000
{txt}{hline 10}{c BT}{hline 64}
Share = quantile group share of total f152006; 
L(p)=cumulative group share; GL(p)=L(p)*mean(f152006)
(1,762 real changes made)
(1,762 real changes made)
Now calculating 5_2008

Principal components/correlation{col 50}Number of obs    = {res}     1,529
{col 50}{txt}Number of comp.  = {res}        11
{col 50}{txt}Trace            {col 67}=  {res}       11
{col 5}{txt}Rotation: (unrotated = principal){col 50}Rho              = {res}    1.0000

{txt}{col 5}{hline 13}{c TT}{hline 60}
{col 5}   Component {c |}   Eigenvalue   Difference         Proportion   Cumulative
{col 5}{hline 13}{c +}{hline 60}
{col 5}{ralign 12:Comp1} {c |}{res}      3.72304      2.46175             0.3385       0.3385
{txt}{col 5}{ralign 12:Comp2} {c |}{res}      1.26129      .218196             0.1147       0.4531
{txt}{col 5}{ralign 12:Comp3} {c |}{res}      1.04309      .138925             0.0948       0.5479
{txt}{col 5}{ralign 12:Comp4} {c |}{res}      .904168       .18476             0.0822       0.6301
{txt}{col 5}{ralign 12:Comp5} {c |}{res}      .719408     .0413811             0.0654       0.6955
{txt}{col 5}{ralign 12:Comp6} {c |}{res}      .678027     .0525708             0.0616       0.7572
{txt}{col 5}{ralign 12:Comp7} {c |}{res}      .625456     .0430274             0.0569       0.8140
{txt}{col 5}{ralign 12:Comp8} {c |}{res}      .582429     .0585577             0.0529       0.8670
{txt}{col 5}{ralign 12:Comp9} {c |}{res}      .523871     .0325244             0.0476       0.9146
{txt}{col 5}{ralign 12:Comp10} {c |}{res}      .491347     .0434748             0.0447       0.9593
{txt}{col 5}{ralign 12:Comp11} {c |}{res}      .447872            .             0.0407       1.0000
{txt}{col 5}{hline 13}{c BT}{hline 60}

Principal components (eigenvectors) 

{space 4}{hline 13}{c  TT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp1}{space 1}{space 1}{ralign 8:Comp2}{space 1}{space 1}{ralign 8:Comp3}{space 1}{space 1}{ralign 8:Comp4}{space 1}{space 1}{ralign 8:Comp5}{space 1}{space 1}{ralign 8:Comp6}{space 1}{space 1}{ralign 8:Comp7}{space 1}{space 1}{ralign 8:Comp8}{space 1}{space 1}{ralign 8:Comp9}{space 1}{space 1}{ralign 8:Comp10}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2785}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5169}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1512}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1270}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0725}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1740}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0679}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5065}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4544}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0829}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3720}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1452}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0105}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1473}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2933}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0307}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2142}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1779}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4825}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.6435}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3471}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1928}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2253}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1586}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3948}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1401}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0334}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4147}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2004}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5333}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2687}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4104}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2090}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4687}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0059}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2082}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2479}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3899}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2726}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3516}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2692}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3164}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3903}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0357}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2871}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5975}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4218}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1894}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0985}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0977}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2437}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2435}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3794}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4391}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5797}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4053}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1815}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0234}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0922}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0362}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3428}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1841}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1240}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1876}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4497}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0468}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1889}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4306}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5995}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1068}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1689}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2697}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.7268}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1265}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0056}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5652}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0806}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1292}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1048}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0088}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3050}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3348}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0670}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5025}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3381}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0722}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0615}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1342}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1266}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2082}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3526}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0547}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1755}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4686}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0776}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0919}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0351}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3401}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1811}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2192}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3099}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3535}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0862}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0070}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1083}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2220}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.7930}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1245}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0942}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2391}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}

{space 4}{hline 13}{c  TT}{hline 10}{c  TT}{hline 13}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp11}{space 1}{c |}{space 1}{ralign 11:Unexplained}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{c   +}{hline 13}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.3259}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0853}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3053}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2029}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0367}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0309}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0415}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0275}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.5807}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.6404}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0039}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{c  BT}{hline 13}
{txt}({bf:score} assumed)
(10 components skipped)

Scoring coefficients 
{col 5}sum of squares(column-loading) = 1

{space 4}{hline 13}{c  TT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp1}{space 1}{space 1}{ralign 8:Comp2}{space 1}{space 1}{ralign 8:Comp3}{space 1}{space 1}{ralign 8:Comp4}{space 1}{space 1}{ralign 8:Comp5}{space 1}{space 1}{ralign 8:Comp6}{space 1}{space 1}{ralign 8:Comp7}{space 1}{space 1}{ralign 8:Comp8}{space 1}{space 1}{ralign 8:Comp9}{space 1}{space 1}{ralign 8:Comp10}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2785}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5169}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1512}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1270}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0725}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1740}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0679}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5065}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4544}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0829}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3720}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1452}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0105}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1473}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2933}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0307}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2142}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1779}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4825}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.6435}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3471}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1928}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2253}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1586}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3948}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1401}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0334}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4147}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2004}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5333}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2687}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4104}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2090}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4687}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0059}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2082}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2479}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3899}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2726}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3516}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2692}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3164}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3903}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0357}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2871}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5975}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4218}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1894}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0985}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0977}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2437}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2435}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3794}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4391}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5797}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4053}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1815}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0234}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0922}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0362}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3428}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1841}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1240}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1876}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4497}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0468}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1889}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4306}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5995}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1068}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1689}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2697}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.7268}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1265}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0056}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5652}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0806}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1292}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1048}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0088}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3050}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3348}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0670}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5025}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3381}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0722}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0615}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1342}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1266}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2082}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3526}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0547}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1755}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4686}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0776}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0919}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0351}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3401}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1811}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2192}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3099}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3535}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0862}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0070}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1083}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2220}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.7930}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1245}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0942}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2391}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}

{space 4}{hline 13}{c  TT}{hline 10}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp11}{space 1}
{space 4}{hline 13}{c   +}{hline 10}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.3259}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0853}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3053}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2029}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0367}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0309}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0415}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0275}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.5807}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.6404}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0039}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}
 
Warning: f152008 has 909 values < 0. Used in calculations
 
Distributional summary statistics, 5 quantile groups

{hline 10}{c TT}{hline 64}
Quantile  {c |}
group     {c |}    Quantile  % of median     Share, %      L(p), %        GL(p)
{hline 10}{c +}{hline 64}
        1 {c |}      {res}-1.515     1116.636   -3.210e+09   -3.210e+09       -0.481
        {txt}2 {c |}      {res}-0.750      552.468   -1.625e+09   -4.834e+09       -0.724
        {txt}3 {c |}       {res}0.099      -73.181   -3.244e+08   -5.159e+09       -0.773
        {txt}4 {c |}       {res}1.585    -1168.163    1.266e+09   -3.893e+09       -0.583
        {txt}5 {c |}            {res}                 3.893e+09      100.000        0.000
{txt}{hline 10}{c BT}{hline 64}
Share = quantile group share of total f152008; 
L(p)=cumulative group share; GL(p)=L(p)*mean(f152008)
(1,529 real changes made)
(1,529 real changes made)
Now calculating 5_2010

Principal components/correlation{col 50}Number of obs    = {res}     1,540
{col 50}{txt}Number of comp.  = {res}        11
{col 50}{txt}Trace            {col 67}=  {res}       11
{col 5}{txt}Rotation: (unrotated = principal){col 50}Rho              = {res}    1.0000

{txt}{col 5}{hline 13}{c TT}{hline 60}
{col 5}   Component {c |}   Eigenvalue   Difference         Proportion   Cumulative
{col 5}{hline 13}{c +}{hline 60}
{col 5}{ralign 12:Comp1} {c |}{res}      3.76049      2.45222             0.3419       0.3419
{txt}{col 5}{ralign 12:Comp2} {c |}{res}      1.30827      .313843             0.1189       0.4608
{txt}{col 5}{ralign 12:Comp3} {c |}{res}      .994426      .175658             0.0904       0.5512
{txt}{col 5}{ralign 12:Comp4} {c |}{res}      .818769      .101604             0.0744       0.6256
{txt}{col 5}{ralign 12:Comp5} {c |}{res}      .717164     .0532959             0.0652       0.6908
{txt}{col 5}{ralign 12:Comp6} {c |}{res}      .663868     .0340554             0.0604       0.7512
{txt}{col 5}{ralign 12:Comp7} {c |}{res}      .629813     .0395896             0.0573       0.8084
{txt}{col 5}{ralign 12:Comp8} {c |}{res}      .590224     .0652546             0.0537       0.8621
{txt}{col 5}{ralign 12:Comp9} {c |}{res}      .524969    .00974347             0.0477       0.9098
{txt}{col 5}{ralign 12:Comp10} {c |}{res}      .515225     .0384448             0.0468       0.9567
{txt}{col 5}{ralign 12:Comp11} {c |}{res}      .476781            .             0.0433       1.0000
{txt}{col 5}{hline 13}{c BT}{hline 60}

Principal components (eigenvectors) 

{space 4}{hline 13}{c  TT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp1}{space 1}{space 1}{ralign 8:Comp2}{space 1}{space 1}{ralign 8:Comp3}{space 1}{space 1}{ralign 8:Comp4}{space 1}{space 1}{ralign 8:Comp5}{space 1}{space 1}{ralign 8:Comp6}{space 1}{space 1}{ralign 8:Comp7}{space 1}{space 1}{ralign 8:Comp8}{space 1}{space 1}{ralign 8:Comp9}{space 1}{space 1}{ralign 8:Comp10}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2429}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5364}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1338}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2216}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0043}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0359}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1463}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.7195}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1674}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1222}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3583}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1418}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0581}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1176}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2422}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1082}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4801}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1933}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.6845}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0667}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3547}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1838}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1708}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0661}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3989}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0389}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0719}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0476}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4014}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6863}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2403}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4722}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2881}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3325}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0621}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1842}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4611}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4856}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0510}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1360}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2808}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3230}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1515}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1630}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5681}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5884}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3029}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0291}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0456}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0200}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2931}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3250}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0786}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2904}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3752}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5309}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4162}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2070}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2386}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1205}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3568}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1861}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0121}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1977}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1369}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3071}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2138}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3087}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4573}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5791}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1708}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1164}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.7726}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5313}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0230}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2266}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0089}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0374}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0570}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1228}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2994}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3166}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2911}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4943}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2445}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0027}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1100}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1001}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1072}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0708}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3414}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0924}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3944}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3621}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1732}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0205}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0423}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0447}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0761}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0183}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3189}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2617}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0126}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1203}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4535}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4211}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4536}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2334}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2257}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3471}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}

{space 4}{hline 13}{c  TT}{hline 10}{c  TT}{hline 13}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp11}{space 1}{c |}{space 1}{ralign 11:Unexplained}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{c   +}{hline 13}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0541}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.1519}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0819}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1359}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0568}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0882}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0159}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0804}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.6186}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.7402}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0233}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{c  BT}{hline 13}
{txt}({bf:score} assumed)
(10 components skipped)

Scoring coefficients 
{col 5}sum of squares(column-loading) = 1

{space 4}{hline 13}{c  TT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp1}{space 1}{space 1}{ralign 8:Comp2}{space 1}{space 1}{ralign 8:Comp3}{space 1}{space 1}{ralign 8:Comp4}{space 1}{space 1}{ralign 8:Comp5}{space 1}{space 1}{ralign 8:Comp6}{space 1}{space 1}{ralign 8:Comp7}{space 1}{space 1}{ralign 8:Comp8}{space 1}{space 1}{ralign 8:Comp9}{space 1}{space 1}{ralign 8:Comp10}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2429}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5364}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1338}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2216}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0043}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0359}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1463}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.7195}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1674}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1222}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3583}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1418}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0581}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1176}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2422}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1082}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4801}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1933}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.6845}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0667}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3547}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1838}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1708}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0661}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3989}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0389}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0719}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0476}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4014}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6863}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2403}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4722}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2881}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3325}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0621}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1842}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4611}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4856}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0510}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1360}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2808}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3230}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1515}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1630}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5681}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5884}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3029}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0291}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0456}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0200}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2931}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3250}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0786}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2904}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3752}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5309}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4162}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2070}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2386}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1205}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3568}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1861}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0121}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1977}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1369}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3071}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2138}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3087}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4573}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5791}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1708}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1164}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.7726}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5313}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0230}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2266}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0089}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0374}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0570}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1228}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2994}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3166}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2911}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4943}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2445}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0027}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1100}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1001}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1072}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0708}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3414}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0924}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3944}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3621}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1732}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0205}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0423}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0447}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0761}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0183}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3189}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2617}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0126}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1203}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4535}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4211}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4536}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2334}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2257}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3471}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}

{space 4}{hline 13}{c  TT}{hline 10}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp11}{space 1}
{space 4}{hline 13}{c   +}{hline 10}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0541}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.1519}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0819}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1359}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0568}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0882}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0159}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0804}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.6186}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.7402}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0233}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}
 
Warning: f152010 has 932 values < 0. Used in calculations
 
Distributional summary statistics, 5 quantile groups

{hline 10}{c TT}{hline 64}
Quantile  {c |}
group     {c |}    Quantile  % of median     Share, %      L(p), %        GL(p)
{hline 10}{c +}{hline 64}
        1 {c |}      {res}-1.544      738.242    9.034e+09    9.034e+09       -0.540
        {txt}2 {c |}      {res}-0.842      402.531    2.597e+09    1.163e+10       -0.696
        {txt}3 {c |}      {res}-0.041       19.539    1.324e+09    1.295e+10       -0.775
        {txt}4 {c |}       {res}1.504     -719.474   -2.719e+09    1.024e+10       -0.612
        {txt}5 {c |}            {res}                -1.024e+10      100.000       -0.000
{txt}{hline 10}{c BT}{hline 64}
Share = quantile group share of total f152010; 
L(p)=cumulative group share; GL(p)=L(p)*mean(f152010)
(1,540 real changes made)
(1,540 real changes made)
Now calculating 5_2012

Principal components/correlation{col 50}Number of obs    = {res}     1,686
{col 50}{txt}Number of comp.  = {res}        11
{col 50}{txt}Trace            {col 67}=  {res}       11
{col 5}{txt}Rotation: (unrotated = principal){col 50}Rho              = {res}    1.0000

{txt}{col 5}{hline 13}{c TT}{hline 60}
{col 5}   Component {c |}   Eigenvalue   Difference         Proportion   Cumulative
{col 5}{hline 13}{c +}{hline 60}
{col 5}{ralign 12:Comp1} {c |}{res}      3.63018      2.33853             0.3300       0.3300
{txt}{col 5}{ralign 12:Comp2} {c |}{res}      1.29164      .327602             0.1174       0.4474
{txt}{col 5}{ralign 12:Comp3} {c |}{res}      .964042      .150889             0.0876       0.5351
{txt}{col 5}{ralign 12:Comp4} {c |}{res}      .813153     .0435815             0.0739       0.6090
{txt}{col 5}{ralign 12:Comp5} {c |}{res}      .769571     .0726299             0.0700       0.6790
{txt}{col 5}{ralign 12:Comp6} {c |}{res}      .696941     .0425034             0.0634       0.7423
{txt}{col 5}{ralign 12:Comp7} {c |}{res}      .654438     .0510882             0.0595       0.8018
{txt}{col 5}{ralign 12:Comp8} {c |}{res}       .60335     .0246089             0.0548       0.8567
{txt}{col 5}{ralign 12:Comp9} {c |}{res}      .578741     .0413898             0.0526       0.9093
{txt}{col 5}{ralign 12:Comp10} {c |}{res}      .537351     .0767601             0.0489       0.9581
{txt}{col 5}{ralign 12:Comp11} {c |}{res}      .460591            .             0.0419       1.0000
{txt}{col 5}{hline 13}{c BT}{hline 60}

Principal components (eigenvectors) 

{space 4}{hline 13}{c  TT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp1}{space 1}{space 1}{ralign 8:Comp2}{space 1}{space 1}{ralign 8:Comp3}{space 1}{space 1}{ralign 8:Comp4}{space 1}{space 1}{ralign 8:Comp5}{space 1}{space 1}{ralign 8:Comp6}{space 1}{space 1}{ralign 8:Comp7}{space 1}{space 1}{ralign 8:Comp8}{space 1}{space 1}{ralign 8:Comp9}{space 1}{space 1}{ralign 8:Comp10}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2667}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5228}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0523}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1618}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0569}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1497}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4007}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0494}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5504}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1839}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3487}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1764}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0367}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1485}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0283}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5447}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2875}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0700}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4072}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4117}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3325}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1886}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1475}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1266}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3011}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4380}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3567}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4581}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0437}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4368}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2556}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4023}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1140}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5348}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0313}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2593}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5974}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0637}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1948}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0396}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2515}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2892}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3779}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0985}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.6906}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3359}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2992}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0897}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1113}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0278}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2814}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3370}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2750}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3701}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2951}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3182}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2116}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5514}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1056}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2127}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3313}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2687}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1135}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1644}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3841}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0001}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1589}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5140}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1988}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5440}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1916}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0672}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.8202}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1906}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4356}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0737}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0485}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2271}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0170}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0083}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3080}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3704}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1362}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4484}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0369}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4077}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0436}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0807}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0212}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2126}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3615}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0396}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1956}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4837}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0301}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1612}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0430}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0781}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2153}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3446}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3421}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2924}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0170}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0684}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0267}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1007}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3272}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3720}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6175}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3136}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}

{space 4}{hline 13}{c  TT}{hline 10}{c  TT}{hline 13}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp11}{space 1}{c |}{space 1}{ralign 11:Unexplained}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{c   +}{hline 13}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3182}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.3218}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0611}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0725}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0003}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0346}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0764}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0152}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.5716}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.6290}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.2380}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{c  BT}{hline 13}
{txt}({bf:score} assumed)
(10 components skipped)

Scoring coefficients 
{col 5}sum of squares(column-loading) = 1

{space 4}{hline 13}{c  TT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp1}{space 1}{space 1}{ralign 8:Comp2}{space 1}{space 1}{ralign 8:Comp3}{space 1}{space 1}{ralign 8:Comp4}{space 1}{space 1}{ralign 8:Comp5}{space 1}{space 1}{ralign 8:Comp6}{space 1}{space 1}{ralign 8:Comp7}{space 1}{space 1}{ralign 8:Comp8}{space 1}{space 1}{ralign 8:Comp9}{space 1}{space 1}{ralign 8:Comp10}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2667}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5228}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0523}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1618}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0569}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1497}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4007}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0494}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5504}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1839}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3487}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1764}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0367}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1485}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0283}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5447}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2875}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0700}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4072}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4117}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3325}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1886}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1475}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1266}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3011}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4380}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3567}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4581}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0437}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4368}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2556}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4023}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1140}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5348}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0313}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2593}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5974}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0637}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1948}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0396}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2515}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2892}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3779}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0985}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.6906}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3359}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2992}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0897}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1113}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0278}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2814}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3370}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2750}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3701}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2951}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3182}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2116}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5514}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1056}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2127}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3313}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2687}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1135}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1644}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3841}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0001}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1589}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5140}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1988}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5440}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1916}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0672}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.8202}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1906}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4356}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0737}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0485}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2271}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0170}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0083}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3080}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3704}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1362}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4484}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0369}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4077}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0436}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0807}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0212}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2126}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3615}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0396}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1956}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4837}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0301}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1612}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0430}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0781}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2153}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3446}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3421}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2924}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0170}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0684}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0267}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1007}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3272}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3720}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6175}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3136}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}

{space 4}{hline 13}{c  TT}{hline 10}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp11}{space 1}
{space 4}{hline 13}{c   +}{hline 10}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3182}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.3218}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0611}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0725}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0003}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0346}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0764}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0152}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.5716}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.6290}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.2380}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}
 
Warning: f152012 has 912 values < 0. Used in calculations
 
Distributional summary statistics, 5 quantile groups

{hline 10}{c TT}{hline 64}
Quantile  {c |}
group     {c |}    Quantile  % of median     Share, %      L(p), %        GL(p)
{hline 10}{c +}{hline 64}
        1 {c |}      {res}-1.875      336.455    5.112e+09    5.112e+09       -0.444
        {txt}2 {c |}      {res}-0.665      119.316    2.942e+09    8.054e+09       -0.700
        {txt}3 {c |}       {res}0.070      -12.488    4.930e+08    8.547e+09       -0.743
        {txt}4 {c |}       {res}1.442     -258.712   -1.591e+09    6.956e+09       -0.605
        {txt}5 {c |}            {res}                -6.956e+09      100.000       -0.000
{txt}{hline 10}{c BT}{hline 64}
Share = quantile group share of total f152012; 
L(p)=cumulative group share; GL(p)=L(p)*mean(f152012)
(1,686 real changes made)
(1,686 real changes made)
Now calculating 5_2014

Principal components/correlation{col 50}Number of obs    = {res}     1,543
{col 50}{txt}Number of comp.  = {res}        11
{col 50}{txt}Trace            {col 67}=  {res}       11
{col 5}{txt}Rotation: (unrotated = principal){col 50}Rho              = {res}    1.0000

{txt}{col 5}{hline 13}{c TT}{hline 60}
{col 5}   Component {c |}   Eigenvalue   Difference         Proportion   Cumulative
{col 5}{hline 13}{c +}{hline 60}
{col 5}{ralign 12:Comp1} {c |}{res}      3.54315      2.29312             0.3221       0.3221
{txt}{col 5}{ralign 12:Comp2} {c |}{res}      1.25003      .280679             0.1136       0.4357
{txt}{col 5}{ralign 12:Comp3} {c |}{res}      .969352      .138381             0.0881       0.5239
{txt}{col 5}{ralign 12:Comp4} {c |}{res}      .830971      .071705             0.0755       0.5994
{txt}{col 5}{ralign 12:Comp5} {c |}{res}      .759266     .0646039             0.0690       0.6684
{txt}{col 5}{ralign 12:Comp6} {c |}{res}      .694662     .0216579             0.0632       0.7316
{txt}{col 5}{ralign 12:Comp7} {c |}{res}      .673004     .0359058             0.0612       0.7928
{txt}{col 5}{ralign 12:Comp8} {c |}{res}      .637099     .0460931             0.0579       0.8507
{txt}{col 5}{ralign 12:Comp9} {c |}{res}      .591005     .0411354             0.0537       0.9044
{txt}{col 5}{ralign 12:Comp10} {c |}{res}       .54987     .0482781             0.0500       0.9544
{txt}{col 5}{ralign 12:Comp11} {c |}{res}      .501592            .             0.0456       1.0000
{txt}{col 5}{hline 13}{c BT}{hline 60}

Principal components (eigenvectors) 

{space 4}{hline 13}{c  TT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp1}{space 1}{space 1}{ralign 8:Comp2}{space 1}{space 1}{ralign 8:Comp3}{space 1}{space 1}{ralign 8:Comp4}{space 1}{space 1}{ralign 8:Comp5}{space 1}{space 1}{ralign 8:Comp6}{space 1}{space 1}{ralign 8:Comp7}{space 1}{space 1}{ralign 8:Comp8}{space 1}{space 1}{ralign 8:Comp9}{space 1}{space 1}{ralign 8:Comp10}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2786}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5155}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0351}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1178}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1654}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2972}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0592}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3447}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3948}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2748}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3527}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1169}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0924}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0549}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0537}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4518}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3351}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0466}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.7089}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0516}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3173}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2596}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3112}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0535}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0454}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3630}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3278}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5575}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0874}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4144}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1909}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4176}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3985}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6509}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3356}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2461}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0773}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0273}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0413}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1579}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2514}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2702}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3589}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2836}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.7956}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0417}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0500}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0126}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0639}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1005}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3025}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3061}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0555}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0889}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3267}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3215}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.7099}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2968}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0008}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0388}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3391}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2213}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0043}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0391}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1832}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3785}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3027}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5093}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4829}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2680}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1995}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0636}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.7076}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.6129}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1639}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2012}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0887}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0378}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0198}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0502}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3014}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4478}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1777}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2206}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2285}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1575}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3162}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1333}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1046}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2227}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3639}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0446}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2300}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1101}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0167}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3429}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2355}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4442}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2649}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0606}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3579}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2378}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1323}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1740}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0499}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2899}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0965}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0575}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1162}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.7655}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}

{space 4}{hline 13}{c  TT}{hline 10}{c  TT}{hline 13}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp11}{space 1}{c |}{space 1}{ralign 11:Unexplained}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{c   +}{hline 13}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.4149}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1540}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0274}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0083}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0548}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0118}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0415}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0180}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.6107}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.5968}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2627}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{c  BT}{hline 13}
{txt}({bf:score} assumed)
(10 components skipped)

Scoring coefficients 
{col 5}sum of squares(column-loading) = 1

{space 4}{hline 13}{c  TT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp1}{space 1}{space 1}{ralign 8:Comp2}{space 1}{space 1}{ralign 8:Comp3}{space 1}{space 1}{ralign 8:Comp4}{space 1}{space 1}{ralign 8:Comp5}{space 1}{space 1}{ralign 8:Comp6}{space 1}{space 1}{ralign 8:Comp7}{space 1}{space 1}{ralign 8:Comp8}{space 1}{space 1}{ralign 8:Comp9}{space 1}{space 1}{ralign 8:Comp10}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2786}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5155}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0351}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1178}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1654}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2972}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0592}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3447}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3948}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2748}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3527}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1169}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0924}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0549}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0537}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4518}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3351}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0466}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.7089}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0516}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3173}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2596}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3112}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0535}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0454}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3630}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3278}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5575}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0874}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4144}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1909}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4176}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3985}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6509}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3356}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2461}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0773}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0273}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0413}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1579}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2514}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2702}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3589}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2836}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.7956}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0417}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0500}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0126}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0639}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1005}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3025}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3061}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0555}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0889}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3267}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3215}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.7099}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2968}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0008}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0388}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3391}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2213}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0043}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0391}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1832}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3785}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3027}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5093}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4829}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2680}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1995}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0636}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.7076}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.6129}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1639}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2012}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0887}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0378}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0198}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0502}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3014}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4478}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1777}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2206}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2285}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1575}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3162}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1333}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1046}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2227}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3639}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0446}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2300}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1101}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0167}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3429}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2355}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4442}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2649}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0606}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3579}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2378}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1323}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1740}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0499}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2899}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0965}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0575}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1162}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.7655}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}

{space 4}{hline 13}{c  TT}{hline 10}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp11}{space 1}
{space 4}{hline 13}{c   +}{hline 10}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.4149}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1540}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0274}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0083}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0548}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0118}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0415}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0180}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.6107}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.5968}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2627}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}
 
Warning: f152014 has 893 values < 0. Used in calculations
 
Distributional summary statistics, 5 quantile groups

{hline 10}{c TT}{hline 64}
Quantile  {c |}
group     {c |}    Quantile  % of median     Share, %      L(p), %        GL(p)
{hline 10}{c +}{hline 64}
        1 {c |}      {res}-1.688      559.132    6.350e+09    6.350e+09       -0.495
        {txt}2 {c |}      {res}-0.982      325.424    2.540e+09    8.890e+09       -0.693
        {txt}3 {c |}       {res}0.294      -97.280    7.359e+08    9.626e+09       -0.751
        {txt}4 {c |}       {res}1.424     -471.555   -2.069e+09    7.556e+09       -0.589
        {txt}5 {c |}            {res}                -7.556e+09      100.000       -0.000
{txt}{hline 10}{c BT}{hline 64}
Share = quantile group share of total f152014; 
L(p)=cumulative group share; GL(p)=L(p)*mean(f152014)
(1,543 real changes made)
(1,543 real changes made)
Now calculating 5_2016

Principal components/correlation{col 50}Number of obs    = {res}     1,550
{col 50}{txt}Number of comp.  = {res}        11
{col 50}{txt}Trace            {col 67}=  {res}       11
{col 5}{txt}Rotation: (unrotated = principal){col 50}Rho              = {res}    1.0000

{txt}{col 5}{hline 13}{c TT}{hline 60}
{col 5}   Component {c |}   Eigenvalue   Difference         Proportion   Cumulative
{col 5}{hline 13}{c +}{hline 60}
{col 5}{ralign 12:Comp1} {c |}{res}      3.15792      1.94379             0.2871       0.2871
{txt}{col 5}{ralign 12:Comp2} {c |}{res}      1.21413      .191703             0.1104       0.3975
{txt}{col 5}{ralign 12:Comp3} {c |}{res}      1.02243      .141849             0.0929       0.4904
{txt}{col 5}{ralign 12:Comp4} {c |}{res}       .88058      .067877             0.0801       0.5705
{txt}{col 5}{ralign 12:Comp5} {c |}{res}      .812703     .0454555             0.0739       0.6443
{txt}{col 5}{ralign 12:Comp6} {c |}{res}      .767247     .0895343             0.0697       0.7141
{txt}{col 5}{ralign 12:Comp7} {c |}{res}      .677713     .0200907             0.0616       0.7757
{txt}{col 5}{ralign 12:Comp8} {c |}{res}      .657622     .0417343             0.0598       0.8355
{txt}{col 5}{ralign 12:Comp9} {c |}{res}      .615888     .0126263             0.0560       0.8915
{txt}{col 5}{ralign 12:Comp10} {c |}{res}      .603262     .0127621             0.0548       0.9463
{txt}{col 5}{ralign 12:Comp11} {c |}{res}        .5905            .             0.0537       1.0000
{txt}{col 5}{hline 13}{c BT}{hline 60}

Principal components (eigenvectors) 

{space 4}{hline 13}{c  TT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp1}{space 1}{space 1}{ralign 8:Comp2}{space 1}{space 1}{ralign 8:Comp3}{space 1}{space 1}{ralign 8:Comp4}{space 1}{space 1}{ralign 8:Comp5}{space 1}{space 1}{ralign 8:Comp6}{space 1}{space 1}{ralign 8:Comp7}{space 1}{space 1}{ralign 8:Comp8}{space 1}{space 1}{ralign 8:Comp9}{space 1}{space 1}{ralign 8:Comp10}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2699}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5185}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1418}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0567}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3478}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2993}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0092}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0852}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1824}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3000}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3530}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1112}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0585}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1230}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5026}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2994}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1546}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0435}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0692}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3578}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3037}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2744}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2771}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0396}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2199}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5940}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1017}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4880}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2837}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0950}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1839}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4201}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2449}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.7505}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3048}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0501}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0871}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1122}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1448}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1206}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2989}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3369}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2870}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0412}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3451}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2183}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3579}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.6334}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0764}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0769}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3265}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2452}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1502}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1381}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2436}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4213}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5970}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2969}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0974}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3159}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3417}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1800}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1092}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1907}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3098}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3301}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4956}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2862}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4979}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0376}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1775}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1711}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.7893}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2742}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0247}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1757}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1772}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4061}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0346}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0800}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2755}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4161}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1301}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4416}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3743}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2110}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0810}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0037}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1852}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4260}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3500}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1529}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2794}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2405}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2434}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2364}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0985}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0268}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0985}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.6749}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3659}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1875}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0701}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1783}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1039}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0015}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4247}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0564}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.7430}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0894}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}

{space 4}{hline 13}{c  TT}{hline 10}{c  TT}{hline 13}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp11}{space 1}{c |}{space 1}{ralign 11:Unexplained}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{c   +}{hline 13}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.5421}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.5862}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1223}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.1242}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0725}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0310}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1442}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0758}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.3634}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3571}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.1996}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{c  BT}{hline 13}
{txt}({bf:score} assumed)
(10 components skipped)

Scoring coefficients 
{col 5}sum of squares(column-loading) = 1

{space 4}{hline 13}{c  TT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp1}{space 1}{space 1}{ralign 8:Comp2}{space 1}{space 1}{ralign 8:Comp3}{space 1}{space 1}{ralign 8:Comp4}{space 1}{space 1}{ralign 8:Comp5}{space 1}{space 1}{ralign 8:Comp6}{space 1}{space 1}{ralign 8:Comp7}{space 1}{space 1}{ralign 8:Comp8}{space 1}{space 1}{ralign 8:Comp9}{space 1}{space 1}{ralign 8:Comp10}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2699}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5185}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1418}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0567}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3478}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2993}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0092}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0852}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1824}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3000}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3530}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1112}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0585}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1230}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5026}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2994}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1546}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0435}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0692}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3578}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3037}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2744}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2771}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0396}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2199}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5940}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1017}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4880}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2837}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0950}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1839}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4201}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2449}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.7505}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3048}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0501}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0871}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1122}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1448}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1206}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2989}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3369}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2870}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0412}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3451}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2183}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3579}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.6334}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0764}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0769}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3265}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2452}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1502}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1381}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2436}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4213}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5970}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2969}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0974}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3159}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3417}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1800}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1092}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1907}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3098}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3301}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4956}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2862}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4979}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0376}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1775}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1711}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.7893}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2742}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0247}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1757}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1772}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4061}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0346}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0800}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2755}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4161}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1301}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4416}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3743}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2110}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0810}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0037}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1852}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4260}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3500}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1529}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2794}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2405}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2434}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2364}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0985}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0268}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0985}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.6749}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3659}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1875}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0701}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1783}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1039}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0015}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4247}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0564}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.7430}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0894}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}

{space 4}{hline 13}{c  TT}{hline 10}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp11}{space 1}
{space 4}{hline 13}{c   +}{hline 10}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.5421}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.5862}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1223}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.1242}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0725}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0310}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1442}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0758}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.3634}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3571}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.1996}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}
 
Warning: f152016 has 862 values < 0. Used in calculations
 
Distributional summary statistics, 5 quantile groups

{hline 10}{c TT}{hline 64}
Quantile  {c |}
group     {c |}    Quantile  % of median     Share, %      L(p), %        GL(p)
{hline 10}{c +}{hline 64}
        1 {c |}      {res}-1.460      402.922    1.588e+10    1.588e+10       -0.448
        {txt}2 {c |}      {res}-0.503      138.723    7.733e+09    2.361e+10       -0.667
        {txt}3 {c |}       {res}0.207      -57.237    1.309e+09    2.492e+10       -0.704
        {txt}4 {c |}       {res}1.472     -406.084   -5.748e+09    1.917e+10       -0.541
        {txt}5 {c |}            {res}                -1.917e+10      100.000       -0.000
{txt}{hline 10}{c BT}{hline 64}
Share = quantile group share of total f152016; 
L(p)=cumulative group share; GL(p)=L(p)*mean(f152016)
(1,550 real changes made)
(1,550 real changes made)
Now calculating 6_2006

Principal components/correlation{col 50}Number of obs    = {res}     1,500
{col 50}{txt}Number of comp.  = {res}        11
{col 50}{txt}Trace            {col 67}=  {res}       11
{col 5}{txt}Rotation: (unrotated = principal){col 50}Rho              = {res}    1.0000

{txt}{col 5}{hline 13}{c TT}{hline 60}
{col 5}   Component {c |}   Eigenvalue   Difference         Proportion   Cumulative
{col 5}{hline 13}{c +}{hline 60}
{col 5}{ralign 12:Comp1} {c |}{res}      3.16308      1.58943             0.2876       0.2876
{txt}{col 5}{ralign 12:Comp2} {c |}{res}      1.57365      .488474             0.1431       0.4306
{txt}{col 5}{ralign 12:Comp3} {c |}{res}      1.08518      .210122             0.0987       0.5293
{txt}{col 5}{ralign 12:Comp4} {c |}{res}      .875055     .0821367             0.0796       0.6088
{txt}{col 5}{ralign 12:Comp5} {c |}{res}      .792919     .0973041             0.0721       0.6809
{txt}{col 5}{ralign 12:Comp6} {c |}{res}      .695615     .0227294             0.0632       0.7441
{txt}{col 5}{ralign 12:Comp7} {c |}{res}      .672885     .0913128             0.0612       0.8053
{txt}{col 5}{ralign 12:Comp8} {c |}{res}      .581572     .0213405             0.0529       0.8582
{txt}{col 5}{ralign 12:Comp9} {c |}{res}      .560232     .0277162             0.0509       0.9091
{txt}{col 5}{ralign 12:Comp10} {c |}{res}      .532516     .0652154             0.0484       0.9575
{txt}{col 5}{ralign 12:Comp11} {c |}{res}        .4673            .             0.0425       1.0000
{txt}{col 5}{hline 13}{c BT}{hline 60}

Principal components (eigenvectors) 

{space 4}{hline 13}{c  TT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp1}{space 1}{space 1}{ralign 8:Comp2}{space 1}{space 1}{ralign 8:Comp3}{space 1}{space 1}{ralign 8:Comp4}{space 1}{space 1}{ralign 8:Comp5}{space 1}{space 1}{ralign 8:Comp6}{space 1}{space 1}{ralign 8:Comp7}{space 1}{space 1}{ralign 8:Comp8}{space 1}{space 1}{ralign 8:Comp9}{space 1}{space 1}{ralign 8:Comp10}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3222}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3908}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1548}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0463}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2316}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0797}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2468}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4972}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2908}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1035}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3623}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3299}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1286}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1804}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0885}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2286}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3032}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1033}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0605}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0329}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3345}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0596}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1708}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2554}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6865}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0599}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0393}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2919}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4067}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2108}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2953}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3392}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0117}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2353}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5084}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2481}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2830}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2577}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5236}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0112}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2831}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4476}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0362}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1556}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0802}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2385}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4047}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3119}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1244}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5949}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3628}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2100}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1963}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3223}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0913}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1194}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0269}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.6530}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2400}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2062}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3546}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2036}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0035}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2944}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0153}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1958}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5866}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0051}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5889}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1069}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0472}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1447}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.7890}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3897}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3826}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1827}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0244}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0253}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0505}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1373}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2224}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1888}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4890}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5873}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2155}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4647}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0641}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1944}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1408}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0451}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2933}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3092}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0017}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3629}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0078}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.6843}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3945}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1243}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0676}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0638}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3013}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4263}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1694}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0391}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0309}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2219}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3108}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1134}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1594}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.7147}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}

{space 4}{hline 13}{c  TT}{hline 10}{c  TT}{hline 13}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp11}{space 1}{c |}{space 1}{ralign 11:Unexplained}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{c   +}{hline 13}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.5040}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.7372}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1369}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0389}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0182}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3634}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0721}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0053}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0686}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.1967}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0365}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{c  BT}{hline 13}
{txt}({bf:score} assumed)
(10 components skipped)

Scoring coefficients 
{col 5}sum of squares(column-loading) = 1

{space 4}{hline 13}{c  TT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp1}{space 1}{space 1}{ralign 8:Comp2}{space 1}{space 1}{ralign 8:Comp3}{space 1}{space 1}{ralign 8:Comp4}{space 1}{space 1}{ralign 8:Comp5}{space 1}{space 1}{ralign 8:Comp6}{space 1}{space 1}{ralign 8:Comp7}{space 1}{space 1}{ralign 8:Comp8}{space 1}{space 1}{ralign 8:Comp9}{space 1}{space 1}{ralign 8:Comp10}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3222}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3908}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1548}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0463}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2316}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0797}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2468}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4972}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2908}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1035}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3623}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3299}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1286}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1804}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0885}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2286}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3032}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1033}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0605}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0329}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3345}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0596}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1708}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2554}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6865}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0599}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0393}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2919}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4067}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2108}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2953}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3392}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0117}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2353}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5084}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2481}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2830}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2577}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5236}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0112}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2831}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4476}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0362}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1556}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0802}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2385}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4047}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3119}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1244}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5949}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3628}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2100}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1963}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3223}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0913}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1194}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0269}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.6530}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2400}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2062}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3546}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2036}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0035}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2944}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0153}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1958}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5866}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0051}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5889}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1069}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0472}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1447}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.7890}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3897}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3826}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1827}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0244}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0253}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0505}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1373}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2224}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1888}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4890}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5873}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2155}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4647}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0641}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1944}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1408}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0451}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2933}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3092}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0017}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3629}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0078}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.6843}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3945}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1243}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0676}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0638}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3013}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4263}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1694}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0391}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0309}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2219}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3108}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1134}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1594}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.7147}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}

{space 4}{hline 13}{c  TT}{hline 10}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp11}{space 1}
{space 4}{hline 13}{c   +}{hline 10}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.5040}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.7372}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1369}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0389}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0182}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3634}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0721}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0053}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0686}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.1967}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0365}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}
 
Warning: f162006 has 708 values < 0. Used in calculations
 
Distributional summary statistics, 5 quantile groups

{hline 10}{c TT}{hline 64}
Quantile  {c |}
group     {c |}    Quantile  % of median     Share, %      L(p), %        GL(p)
{hline 10}{c +}{hline 64}
        1 {c |}      {res}-0.777     -380.546   -3.784e+12   -3.784e+12       -0.564
        {txt}2 {c |}      {res}-0.019       -9.392   -3.288e+11   -4.113e+12       -0.613
        {txt}3 {c |}       {res}0.583      285.775    4.126e+11   -3.700e+12       -0.551
        {txt}4 {c |}       {res}1.380      675.848    1.312e+12   -2.388e+12       -0.356
        {txt}5 {c |}            {res}                 2.388e+12      100.023        0.000
{txt}{hline 10}{c BT}{hline 64}
Share = quantile group share of total f162006; 
L(p)=cumulative group share; GL(p)=L(p)*mean(f162006)
(1,500 real changes made)
(1,500 real changes made)
Now calculating 6_2008

Principal components/correlation{col 50}Number of obs    = {res}     1,462
{col 50}{txt}Number of comp.  = {res}        11
{col 50}{txt}Trace            {col 67}=  {res}       11
{col 5}{txt}Rotation: (unrotated = principal){col 50}Rho              = {res}    1.0000

{txt}{col 5}{hline 13}{c TT}{hline 60}
{col 5}   Component {c |}   Eigenvalue   Difference         Proportion   Cumulative
{col 5}{hline 13}{c +}{hline 60}
{col 5}{ralign 12:Comp1} {c |}{res}      3.04753      1.49426             0.2770       0.2770
{txt}{col 5}{ralign 12:Comp2} {c |}{res}      1.55328      .558563             0.1412       0.4183
{txt}{col 5}{ralign 12:Comp3} {c |}{res}      .994714     .0893052             0.0904       0.5087
{txt}{col 5}{ralign 12:Comp4} {c |}{res}      .905409     .0601459             0.0823       0.5910
{txt}{col 5}{ralign 12:Comp5} {c |}{res}      .845263      .125828             0.0768       0.6678
{txt}{col 5}{ralign 12:Comp6} {c |}{res}      .719435     .0634324             0.0654       0.7332
{txt}{col 5}{ralign 12:Comp7} {c |}{res}      .656002     .0266661             0.0596       0.7929
{txt}{col 5}{ralign 12:Comp8} {c |}{res}      .629336     .0410961             0.0572       0.8501
{txt}{col 5}{ralign 12:Comp9} {c |}{res}       .58824     .0400046             0.0535       0.9036
{txt}{col 5}{ralign 12:Comp10} {c |}{res}      .548236     .0356816             0.0498       0.9534
{txt}{col 5}{ralign 12:Comp11} {c |}{res}      .512554            .             0.0466       1.0000
{txt}{col 5}{hline 13}{c BT}{hline 60}

Principal components (eigenvectors) 

{space 4}{hline 13}{c  TT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp1}{space 1}{space 1}{ralign 8:Comp2}{space 1}{space 1}{ralign 8:Comp3}{space 1}{space 1}{ralign 8:Comp4}{space 1}{space 1}{ralign 8:Comp5}{space 1}{space 1}{ralign 8:Comp6}{space 1}{space 1}{ralign 8:Comp7}{space 1}{space 1}{ralign 8:Comp8}{space 1}{space 1}{ralign 8:Comp9}{space 1}{space 1}{ralign 8:Comp10}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2694}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3284}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4377}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2752}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2748}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2888}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3455}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0966}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3256}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1274}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3524}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2724}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3893}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1210}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0314}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0201}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0150}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0522}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4551}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0610}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3395}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0973}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0515}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1930}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.6247}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1168}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3824}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2180}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2196}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4325}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2806}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3698}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0780}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0677}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4588}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5138}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0881}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1942}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2678}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3813}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2634}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3899}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0404}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0806}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2323}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.7218}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4002}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0377}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0177}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1715}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3666}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2579}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0642}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0247}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0194}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2681}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4979}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4016}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2105}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2686}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3768}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1184}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0826}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1586}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3495}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1985}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3634}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3288}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3449}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5389}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1462}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2957}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2668}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.8587}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2166}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0050}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0331}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1144}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0760}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1238}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2594}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3391}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5417}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0802}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2552}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0340}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0590}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4121}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3516}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2147}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2976}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2679}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5203}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0515}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0162}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0406}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1533}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.6221}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2928}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1793}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2937}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4062}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0141}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2985}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1842}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0597}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3978}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2488}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4338}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4024}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}

{space 4}{hline 13}{c  TT}{hline 10}{c  TT}{hline 13}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp11}{space 1}{c |}{space 1}{ralign 11:Unexplained}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{c   +}{hline 13}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3775}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.6482}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0487}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.1919}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0651}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.4433}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0293}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0206}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.3294}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1896}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2273}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{c  BT}{hline 13}
{txt}({bf:score} assumed)
(10 components skipped)

Scoring coefficients 
{col 5}sum of squares(column-loading) = 1

{space 4}{hline 13}{c  TT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp1}{space 1}{space 1}{ralign 8:Comp2}{space 1}{space 1}{ralign 8:Comp3}{space 1}{space 1}{ralign 8:Comp4}{space 1}{space 1}{ralign 8:Comp5}{space 1}{space 1}{ralign 8:Comp6}{space 1}{space 1}{ralign 8:Comp7}{space 1}{space 1}{ralign 8:Comp8}{space 1}{space 1}{ralign 8:Comp9}{space 1}{space 1}{ralign 8:Comp10}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2694}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3284}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4377}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2752}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2748}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2888}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3455}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0966}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3256}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1274}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3524}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2724}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3893}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1210}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0314}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0201}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0150}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0522}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4551}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0610}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3395}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0973}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0515}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1930}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.6247}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1168}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3824}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2180}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2196}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4325}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2806}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3698}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0780}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0677}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4588}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5138}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0881}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1942}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2678}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3813}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2634}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3899}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0404}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0806}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2323}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.7218}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4002}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0377}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0177}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1715}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3666}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2579}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0642}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0247}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0194}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2681}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4979}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4016}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2105}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2686}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3768}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1184}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0826}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1586}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3495}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1985}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3634}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3288}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3449}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5389}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1462}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2957}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2668}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.8587}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2166}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0050}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0331}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1144}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0760}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1238}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2594}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3391}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5417}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0802}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2552}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0340}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0590}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4121}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3516}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2147}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2976}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2679}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5203}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0515}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0162}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0406}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1533}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.6221}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2928}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1793}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2937}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4062}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0141}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2985}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1842}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0597}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3978}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2488}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4338}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4024}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}

{space 4}{hline 13}{c  TT}{hline 10}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp11}{space 1}
{space 4}{hline 13}{c   +}{hline 10}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3775}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.6482}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0487}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.1919}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0651}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.4433}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0293}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0206}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.3294}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1896}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2273}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}
 
Warning: f162008 has 548 values < 0. Used in calculations
 
Distributional summary statistics, 5 quantile groups

{hline 10}{c TT}{hline 64}
Quantile  {c |}
group     {c |}    Quantile  % of median     Share, %      L(p), %        GL(p)
{hline 10}{c +}{hline 64}
        1 {c |}      {res}-0.779     -261.025    7.989e+09    7.989e+09       -0.568
        {txt}2 {c |}       {res}0.046       15.380    5.931e+08    8.582e+09       -0.610
        {txt}3 {c |}       {res}0.610      204.450   -1.090e+09    7.491e+09       -0.532
        {txt}4 {c |}       {res}1.239      415.300   -2.507e+09    4.985e+09       -0.354
        {txt}5 {c |}            {res}                -4.985e+09      100.000       -0.000
{txt}{hline 10}{c BT}{hline 64}
Share = quantile group share of total f162008; 
L(p)=cumulative group share; GL(p)=L(p)*mean(f162008)
(1,462 real changes made)
(1,462 real changes made)
Now calculating 6_2010

Principal components/correlation{col 50}Number of obs    = {res}     1,500
{col 50}{txt}Number of comp.  = {res}        11
{col 50}{txt}Trace            {col 67}=  {res}       11
{col 5}{txt}Rotation: (unrotated = principal){col 50}Rho              = {res}    1.0000

{txt}{col 5}{hline 13}{c TT}{hline 60}
{col 5}   Component {c |}   Eigenvalue   Difference         Proportion   Cumulative
{col 5}{hline 13}{c +}{hline 60}
{col 5}{ralign 12:Comp1} {c |}{res}      2.93723      1.56529             0.2670       0.2670
{txt}{col 5}{ralign 12:Comp2} {c |}{res}      1.37194      .267142             0.1247       0.3917
{txt}{col 5}{ralign 12:Comp3} {c |}{res}       1.1048      .118795             0.1004       0.4922
{txt}{col 5}{ralign 12:Comp4} {c |}{res}      .986001      .158834             0.0896       0.5818
{txt}{col 5}{ralign 12:Comp5} {c |}{res}      .827167     .0879037             0.0752       0.6570
{txt}{col 5}{ralign 12:Comp6} {c |}{res}      .739263     .0555544             0.0672       0.7242
{txt}{col 5}{ralign 12:Comp7} {c |}{res}      .683709     .0188132             0.0622       0.7864
{txt}{col 5}{ralign 12:Comp8} {c |}{res}      .664896     .0551526             0.0604       0.8468
{txt}{col 5}{ralign 12:Comp9} {c |}{res}      .609743     .0666202             0.0554       0.9022
{txt}{col 5}{ralign 12:Comp10} {c |}{res}      .543123     .0109838             0.0494       0.9516
{txt}{col 5}{ralign 12:Comp11} {c |}{res}      .532139            .             0.0484       1.0000
{txt}{col 5}{hline 13}{c BT}{hline 60}

Principal components (eigenvectors) 

{space 4}{hline 13}{c  TT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp1}{space 1}{space 1}{ralign 8:Comp2}{space 1}{space 1}{ralign 8:Comp3}{space 1}{space 1}{ralign 8:Comp4}{space 1}{space 1}{ralign 8:Comp5}{space 1}{space 1}{ralign 8:Comp6}{space 1}{space 1}{ralign 8:Comp7}{space 1}{space 1}{ralign 8:Comp8}{space 1}{space 1}{ralign 8:Comp9}{space 1}{space 1}{ralign 8:Comp10}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2411}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3452}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3548}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1228}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5670}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4149}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2020}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2359}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2467}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1284}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3574}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3204}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3087}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0168}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0186}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0621}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2426}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0988}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3024}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3811}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3495}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1032}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1219}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2585}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4334}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3006}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4859}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0656}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4518}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0280}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3285}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1942}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0717}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1747}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5217}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5443}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1637}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0007}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4241}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1274}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2942}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3827}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2758}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1815}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1081}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4079}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4852}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0746}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1635}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4082}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3595}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1851}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2267}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0411}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3280}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2883}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4962}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2778}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1346}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0950}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3968}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1367}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0547}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0143}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2296}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2700}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3378}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0942}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5206}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3802}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1092}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2465}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1801}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.8697}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1114}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2961}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0158}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1818}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0050}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0665}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1579}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3589}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6520}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0751}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1012}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0043}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1859}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5836}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0309}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1168}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2302}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4475}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3594}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2658}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0086}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1558}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0753}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.6718}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0476}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1346}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3479}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3749}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2040}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1409}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1533}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0550}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0352}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1170}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3802}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6818}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}

{space 4}{hline 13}{c  TT}{hline 10}{c  TT}{hline 13}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp11}{space 1}{c |}{space 1}{ralign 11:Unexplained}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{c   +}{hline 13}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1194}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.6038}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2490}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1656}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.2134}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.4921}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.3956}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0265}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.1247}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2126}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1616}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{c  BT}{hline 13}
{txt}({bf:score} assumed)
(10 components skipped)

Scoring coefficients 
{col 5}sum of squares(column-loading) = 1

{space 4}{hline 13}{c  TT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp1}{space 1}{space 1}{ralign 8:Comp2}{space 1}{space 1}{ralign 8:Comp3}{space 1}{space 1}{ralign 8:Comp4}{space 1}{space 1}{ralign 8:Comp5}{space 1}{space 1}{ralign 8:Comp6}{space 1}{space 1}{ralign 8:Comp7}{space 1}{space 1}{ralign 8:Comp8}{space 1}{space 1}{ralign 8:Comp9}{space 1}{space 1}{ralign 8:Comp10}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2411}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3452}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3548}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1228}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5670}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4149}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2020}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2359}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2467}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1284}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3574}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3204}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3087}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0168}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0186}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0621}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2426}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0988}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3024}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3811}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3495}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1032}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1219}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2585}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4334}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3006}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4859}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0656}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4518}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0280}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3285}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1942}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0717}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1747}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5217}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5443}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1637}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0007}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4241}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1274}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2942}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3827}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2758}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1815}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1081}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4079}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4852}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0746}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1635}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4082}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3595}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1851}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2267}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0411}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3280}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2883}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4962}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2778}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1346}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0950}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3968}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1367}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0547}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0143}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2296}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2700}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3378}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0942}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5206}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3802}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1092}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2465}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1801}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.8697}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1114}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2961}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0158}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1818}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0050}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0665}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1579}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3589}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6520}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0751}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1012}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0043}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1859}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5836}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0309}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1168}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2302}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4475}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3594}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2658}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0086}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1558}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0753}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.6718}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0476}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1346}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3479}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3749}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2040}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1409}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1533}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0550}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0352}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1170}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3802}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6818}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}

{space 4}{hline 13}{c  TT}{hline 10}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp11}{space 1}
{space 4}{hline 13}{c   +}{hline 10}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1194}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.6038}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2490}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1656}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.2134}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.4921}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.3956}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0265}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.1247}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2126}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1616}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}
 
Warning: f162010 has 670 values < 0. Used in calculations
 
Distributional summary statistics, 5 quantile groups

{hline 10}{c TT}{hline 64}
Quantile  {c |}
group     {c |}    Quantile  % of median     Share, %      L(p), %        GL(p)
{hline 10}{c +}{hline 64}
        1 {c |}      {res}-1.073     -274.895   -3.718e+09   -3.718e+09       -0.538
        {txt}2 {c |}      {res}-0.147      -37.557   -7.792e+08   -4.497e+09       -0.651
        {txt}3 {c |}       {res}0.562      143.995    5.025e+08   -3.995e+09       -0.578
        {txt}4 {c |}       {res}1.329      340.660    1.410e+09   -2.585e+09       -0.374
        {txt}5 {c |}            {res}                 2.585e+09      100.000        0.000
{txt}{hline 10}{c BT}{hline 64}
Share = quantile group share of total f162010; 
L(p)=cumulative group share; GL(p)=L(p)*mean(f162010)
(1,500 real changes made)
(1,500 real changes made)
Now calculating 6_2012

Principal components/correlation{col 50}Number of obs    = {res}     1,498
{col 50}{txt}Number of comp.  = {res}        11
{col 50}{txt}Trace            {col 67}=  {res}       11
{col 5}{txt}Rotation: (unrotated = principal){col 50}Rho              = {res}    1.0000

{txt}{col 5}{hline 13}{c TT}{hline 60}
{col 5}   Component {c |}   Eigenvalue   Difference         Proportion   Cumulative
{col 5}{hline 13}{c +}{hline 60}
{col 5}{ralign 12:Comp1} {c |}{res}        3.085      1.63123             0.2805       0.2805
{txt}{col 5}{ralign 12:Comp2} {c |}{res}      1.45376      .376991             0.1322       0.4126
{txt}{col 5}{ralign 12:Comp3} {c |}{res}      1.07677     .0701297             0.0979       0.5105
{txt}{col 5}{ralign 12:Comp4} {c |}{res}      1.00664      .133031             0.0915       0.6020
{txt}{col 5}{ralign 12:Comp5} {c |}{res}       .87361     .0855471             0.0794       0.6814
{txt}{col 5}{ralign 12:Comp6} {c |}{res}      .788063      .157336             0.0716       0.7531
{txt}{col 5}{ralign 12:Comp7} {c |}{res}      .630727     .0191125             0.0573       0.8104
{txt}{col 5}{ralign 12:Comp8} {c |}{res}      .611614     .0652789             0.0556       0.8660
{txt}{col 5}{ralign 12:Comp9} {c |}{res}      .546335     .0317587             0.0497       0.9157
{txt}{col 5}{ralign 12:Comp10} {c |}{res}      .514577      .101671             0.0468       0.9625
{txt}{col 5}{ralign 12:Comp11} {c |}{res}      .412905            .             0.0375       1.0000
{txt}{col 5}{hline 13}{c BT}{hline 60}

Principal components (eigenvectors) 

{space 4}{hline 13}{c  TT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp1}{space 1}{space 1}{ralign 8:Comp2}{space 1}{space 1}{ralign 8:Comp3}{space 1}{space 1}{ralign 8:Comp4}{space 1}{space 1}{ralign 8:Comp5}{space 1}{space 1}{ralign 8:Comp6}{space 1}{space 1}{ralign 8:Comp7}{space 1}{space 1}{ralign 8:Comp8}{space 1}{space 1}{ralign 8:Comp9}{space 1}{space 1}{ralign 8:Comp10}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3179}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3941}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3393}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0188}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1354}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3526}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2563}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1907}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1202}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0474}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3702}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2910}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4021}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1160}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1226}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1379}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0350}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0724}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0545}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1288}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2775}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1098}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3177}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5716}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2153}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1063}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2369}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5633}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2285}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0038}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2692}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2259}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3732}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3761}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4078}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2738}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1798}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3825}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4036}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1091}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2300}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4706}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0144}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0715}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1872}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5730}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5238}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1757}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2207}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0533}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3797}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1074}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1528}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1064}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0829}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3914}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5751}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1928}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2367}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4445}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3510}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1416}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1698}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2457}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0514}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5150}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0321}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5584}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1797}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3831}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1084}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3531}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0275}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4664}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.8012}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0031}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0218}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0372}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0328}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0179}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2863}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2302}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5332}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3366}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1141}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0542}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1053}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1924}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3267}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5041}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3192}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2666}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3814}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3321}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1093}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1213}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1643}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2494}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3699}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5552}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3108}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4417}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0019}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0114}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2062}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0775}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4471}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1199}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.6212}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2438}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}

{space 4}{hline 13}{c  TT}{hline 10}{c  TT}{hline 13}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp11}{space 1}{c |}{space 1}{ralign 11:Unexplained}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{c   +}{hline 13}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.6056}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.7369}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0081}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0316}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0102}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1675}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0887}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0115}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.2064}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1018}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0011}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{c  BT}{hline 13}
{txt}({bf:score} assumed)
(10 components skipped)

Scoring coefficients 
{col 5}sum of squares(column-loading) = 1

{space 4}{hline 13}{c  TT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp1}{space 1}{space 1}{ralign 8:Comp2}{space 1}{space 1}{ralign 8:Comp3}{space 1}{space 1}{ralign 8:Comp4}{space 1}{space 1}{ralign 8:Comp5}{space 1}{space 1}{ralign 8:Comp6}{space 1}{space 1}{ralign 8:Comp7}{space 1}{space 1}{ralign 8:Comp8}{space 1}{space 1}{ralign 8:Comp9}{space 1}{space 1}{ralign 8:Comp10}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3179}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3941}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3393}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0188}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1354}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3526}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2563}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1907}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1202}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0474}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3702}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2910}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4021}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1160}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1226}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1379}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0350}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0724}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0545}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1288}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2775}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1098}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3177}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5716}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2153}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1063}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2369}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5633}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2285}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0038}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2692}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2259}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3732}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3761}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4078}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2738}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1798}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3825}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4036}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1091}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2300}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4706}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0144}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0715}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1872}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5730}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5238}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1757}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2207}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0533}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3797}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1074}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1528}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1064}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0829}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3914}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5751}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1928}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2367}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4445}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3510}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1416}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1698}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2457}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0514}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5150}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0321}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5584}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1797}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3831}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1084}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3531}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0275}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4664}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.8012}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0031}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0218}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0372}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0328}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0179}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2863}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2302}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5332}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3366}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1141}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0542}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1053}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1924}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3267}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5041}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3192}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2666}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3814}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3321}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1093}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1213}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1643}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2494}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3699}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5552}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3108}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4417}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0019}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0114}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2062}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0775}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4471}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1199}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.6212}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2438}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}

{space 4}{hline 13}{c  TT}{hline 10}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp11}{space 1}
{space 4}{hline 13}{c   +}{hline 10}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.6056}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.7369}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0081}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0316}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0102}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1675}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0887}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0115}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.2064}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1018}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0011}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}
 
Warning: f162012 has 579 values < 0. Used in calculations
 
Distributional summary statistics, 5 quantile groups

{hline 10}{c TT}{hline 64}
Quantile  {c |}
group     {c |}    Quantile  % of median     Share, %      L(p), %        GL(p)
{hline 10}{c +}{hline 64}
        1 {c |}      {res}-0.919     -236.200   -4.395e+10   -4.395e+10       -0.528
        {txt}2 {c |}       {res}0.073       18.820   -5.304e+09   -4.926e+10       -0.592
        {txt}3 {c |}       {res}0.756      194.310    8.850e+09   -4.041e+10       -0.485
        {txt}4 {c |}       {res}1.292      331.976    1.531e+10   -2.509e+10       -0.301
        {txt}5 {c |}            {res}                 2.509e+10      100.000        0.000
{txt}{hline 10}{c BT}{hline 64}
Share = quantile group share of total f162012; 
L(p)=cumulative group share; GL(p)=L(p)*mean(f162012)
(1,498 real changes made)
(1,498 real changes made)
Now calculating 6_2014

Principal components/correlation{col 50}Number of obs    = {res}     1,508
{col 50}{txt}Number of comp.  = {res}        11
{col 50}{txt}Trace            {col 67}=  {res}       11
{col 5}{txt}Rotation: (unrotated = principal){col 50}Rho              = {res}    1.0000

{txt}{col 5}{hline 13}{c TT}{hline 60}
{col 5}   Component {c |}   Eigenvalue   Difference         Proportion   Cumulative
{col 5}{hline 13}{c +}{hline 60}
{col 5}{ralign 12:Comp1} {c |}{res}       2.3238       .89895             0.2113       0.2113
{txt}{col 5}{ralign 12:Comp2} {c |}{res}      1.42485       .38128             0.1295       0.3408
{txt}{col 5}{ralign 12:Comp3} {c |}{res}      1.04357    .00929257             0.0949       0.4357
{txt}{col 5}{ralign 12:Comp4} {c |}{res}      1.03428     .0845656             0.0940       0.5297
{txt}{col 5}{ralign 12:Comp5} {c |}{res}      .949713     .0140301             0.0863       0.6160
{txt}{col 5}{ralign 12:Comp6} {c |}{res}      .935683      .164513             0.0851       0.7011
{txt}{col 5}{ralign 12:Comp7} {c |}{res}       .77117      .049782             0.0701       0.7712
{txt}{col 5}{ralign 12:Comp8} {c |}{res}      .721388     .0200979             0.0656       0.8368
{txt}{col 5}{ralign 12:Comp9} {c |}{res}       .70129      .116105             0.0638       0.9005
{txt}{col 5}{ralign 12:Comp10} {c |}{res}      .585185     .0761162             0.0532       0.9537
{txt}{col 5}{ralign 12:Comp11} {c |}{res}      .509068            .             0.0463       1.0000
{txt}{col 5}{hline 13}{c BT}{hline 60}

Principal components (eigenvectors) 

{space 4}{hline 13}{c  TT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp1}{space 1}{space 1}{ralign 8:Comp2}{space 1}{space 1}{ralign 8:Comp3}{space 1}{space 1}{ralign 8:Comp4}{space 1}{space 1}{ralign 8:Comp5}{space 1}{space 1}{ralign 8:Comp6}{space 1}{space 1}{ralign 8:Comp7}{space 1}{space 1}{ralign 8:Comp8}{space 1}{space 1}{ralign 8:Comp9}{space 1}{space 1}{ralign 8:Comp10}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1880}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2321}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4728}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0369}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5841}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4157}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2246}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2052}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2373}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0534}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2639}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1149}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1710}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4750}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3543}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4562}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4134}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2461}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2909}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0648}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2972}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1672}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3873}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4188}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2685}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0039}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1850}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6206}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2113}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1487}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2061}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1351}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5872}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4018}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0846}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3955}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2428}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3854}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2407}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0030}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3842}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3233}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0289}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1981}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0215}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0965}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3313}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1790}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4560}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5901}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3210}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1502}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2865}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5125}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0667}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0159}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2821}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3291}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5341}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0958}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3984}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1613}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0338}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0245}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0677}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0587}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.6905}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1297}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4399}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3433}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1926}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1441}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1946}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1104}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6506}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6587}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0050}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1498}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0832}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0602}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2777}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5533}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2401}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2170}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0811}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0664}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1020}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0635}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1870}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0138}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2912}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5342}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2407}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2609}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0709}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0497}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0855}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1003}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0951}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0094}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3949}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3483}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1220}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0793}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0981}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0946}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0395}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4123}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1372}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.7012}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}

{space 4}{hline 13}{c  TT}{hline 10}{c  TT}{hline 13}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp11}{space 1}{c |}{space 1}{ralign 11:Unexplained}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{c   +}{hline 13}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1421}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0913}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0104}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0628}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0023}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.2065}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0228}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0441}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.6719}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.6855}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0324}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{c  BT}{hline 13}
{txt}({bf:score} assumed)
(10 components skipped)

Scoring coefficients 
{col 5}sum of squares(column-loading) = 1

{space 4}{hline 13}{c  TT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp1}{space 1}{space 1}{ralign 8:Comp2}{space 1}{space 1}{ralign 8:Comp3}{space 1}{space 1}{ralign 8:Comp4}{space 1}{space 1}{ralign 8:Comp5}{space 1}{space 1}{ralign 8:Comp6}{space 1}{space 1}{ralign 8:Comp7}{space 1}{space 1}{ralign 8:Comp8}{space 1}{space 1}{ralign 8:Comp9}{space 1}{space 1}{ralign 8:Comp10}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1880}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2321}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4728}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0369}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5841}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4157}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2246}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2052}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2373}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0534}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2639}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1149}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1710}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4750}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3543}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4562}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4134}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2461}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2909}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0648}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2972}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1672}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3873}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4188}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2685}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0039}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1850}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6206}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2113}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1487}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2061}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1351}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5872}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4018}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0846}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3955}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2428}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3854}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2407}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0030}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3842}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3233}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0289}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1981}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0215}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0965}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3313}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1790}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4560}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5901}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3210}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1502}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2865}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5125}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0667}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0159}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2821}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3291}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5341}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0958}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3984}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1613}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0338}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0245}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0677}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0587}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.6905}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1297}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4399}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3433}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1926}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1441}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1946}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1104}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6506}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6587}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0050}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1498}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0832}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0602}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2777}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5533}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2401}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2170}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0811}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0664}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1020}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0635}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1870}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0138}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2912}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5342}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2407}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2609}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0709}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0497}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0855}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1003}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0951}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0094}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3949}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3483}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1220}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0793}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0981}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0946}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0395}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4123}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1372}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.7012}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}

{space 4}{hline 13}{c  TT}{hline 10}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp11}{space 1}
{space 4}{hline 13}{c   +}{hline 10}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1421}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0913}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0104}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0628}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0023}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.2065}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0228}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0441}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.6719}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.6855}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0324}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}
 
Warning: f162014 has 637 values < 0. Used in calculations
 
Distributional summary statistics, 5 quantile groups

{hline 10}{c TT}{hline 64}
Quantile  {c |}
group     {c |}    Quantile  % of median     Share, %      L(p), %        GL(p)
{hline 10}{c +}{hline 64}
        1 {c |}      {res}-0.895    -1834.244   -1.739e+10   -1.739e+10       -0.463
        {txt}2 {c |}      {res}-0.096     -197.016   -3.490e+09   -2.088e+10       -0.556
        {txt}3 {c |}       {res}0.579     1186.363    1.142e+09   -1.974e+10       -0.525
        {txt}4 {c |}       {res}1.391     2851.752    1.217e+10   -7.569e+09       -0.201
        {txt}5 {c |}            {res}                 7.569e+09      100.000        0.000
{txt}{hline 10}{c BT}{hline 64}
Share = quantile group share of total f162014; 
L(p)=cumulative group share; GL(p)=L(p)*mean(f162014)
(1,508 real changes made)
(1,508 real changes made)
Now calculating 6_2016

Principal components/correlation{col 50}Number of obs    = {res}     1,501
{col 50}{txt}Number of comp.  = {res}        11
{col 50}{txt}Trace            {col 67}=  {res}       11
{col 5}{txt}Rotation: (unrotated = principal){col 50}Rho              = {res}    1.0000

{txt}{col 5}{hline 13}{c TT}{hline 60}
{col 5}   Component {c |}   Eigenvalue   Difference         Proportion   Cumulative
{col 5}{hline 13}{c +}{hline 60}
{col 5}{ralign 12:Comp1} {c |}{res}      2.28939      1.01018             0.2081       0.2081
{txt}{col 5}{ralign 12:Comp2} {c |}{res}      1.27922      .061309             0.1163       0.3244
{txt}{col 5}{ralign 12:Comp3} {c |}{res}      1.21791      .234871             0.1107       0.4351
{txt}{col 5}{ralign 12:Comp4} {c |}{res}      .983039     .0651789             0.0894       0.5245
{txt}{col 5}{ralign 12:Comp5} {c |}{res}       .91786     .0961432             0.0834       0.6079
{txt}{col 5}{ralign 12:Comp6} {c |}{res}      .821717     .0435327             0.0747       0.6826
{txt}{col 5}{ralign 12:Comp7} {c |}{res}      .778184     .0170218             0.0707       0.7534
{txt}{col 5}{ralign 12:Comp8} {c |}{res}      .761162     .0636128             0.0692       0.8226
{txt}{col 5}{ralign 12:Comp9} {c |}{res}      .697549     .0445315             0.0634       0.8860
{txt}{col 5}{ralign 12:Comp10} {c |}{res}      .653018     .0520687             0.0594       0.9454
{txt}{col 5}{ralign 12:Comp11} {c |}{res}      .600949            .             0.0546       1.0000
{txt}{col 5}{hline 13}{c BT}{hline 60}

Principal components (eigenvectors) 

{space 4}{hline 13}{c  TT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp1}{space 1}{space 1}{ralign 8:Comp2}{space 1}{space 1}{ralign 8:Comp3}{space 1}{space 1}{ralign 8:Comp4}{space 1}{space 1}{ralign 8:Comp5}{space 1}{space 1}{ralign 8:Comp6}{space 1}{space 1}{ralign 8:Comp7}{space 1}{space 1}{ralign 8:Comp8}{space 1}{space 1}{ralign 8:Comp9}{space 1}{space 1}{ralign 8:Comp10}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2606}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2815}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3091}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4723}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1471}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1932}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4362}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4580}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1322}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2129}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3030}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2527}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3542}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1586}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0793}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2984}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1606}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.7140}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2447}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0278}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3382}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0563}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4781}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2379}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1038}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1482}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2117}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0111}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0275}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6913}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0902}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2778}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4470}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5381}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5031}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0398}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2263}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1740}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0469}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2895}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3667}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4151}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0968}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0025}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1185}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0300}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1886}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1787}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5699}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1906}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3393}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2079}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3152}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0500}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0312}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1978}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.7061}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0144}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3477}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2802}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.4351}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0731}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1297}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0588}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0044}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0287}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2405}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3136}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6221}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1014}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0592}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4389}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4028}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1054}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6703}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1715}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1030}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0220}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2151}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2330}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2203}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3754}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1934}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4409}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1647}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6698}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2426}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1770}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1023}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0462}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2483}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3390}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0080}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4227}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4313}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5746}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0774}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2858}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1612}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0661}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.4065}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3276}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1594}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1246}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1750}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0323}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1427}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0776}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0650}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4542}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}

{space 4}{hline 13}{c  TT}{hline 10}{c  TT}{hline 13}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp11}{space 1}{c |}{space 1}{ralign 11:Unexplained}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{c   +}{hline 13}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1116}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0455}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2026}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0557}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.4902}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0388}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.4803}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2004}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0153}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1028}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.6465}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{c  BT}{hline 13}
{txt}({bf:score} assumed)
(10 components skipped)

Scoring coefficients 
{col 5}sum of squares(column-loading) = 1

{space 4}{hline 13}{c  TT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp1}{space 1}{space 1}{ralign 8:Comp2}{space 1}{space 1}{ralign 8:Comp3}{space 1}{space 1}{ralign 8:Comp4}{space 1}{space 1}{ralign 8:Comp5}{space 1}{space 1}{ralign 8:Comp6}{space 1}{space 1}{ralign 8:Comp7}{space 1}{space 1}{ralign 8:Comp8}{space 1}{space 1}{ralign 8:Comp9}{space 1}{space 1}{ralign 8:Comp10}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2606}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2815}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3091}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4723}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1471}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1932}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4362}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4580}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1322}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2129}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3030}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2527}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3542}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1586}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0793}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2984}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1606}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.7140}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2447}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0278}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3382}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0563}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4781}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2379}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1038}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1482}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2117}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0111}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0275}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6913}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0902}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2778}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4470}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5381}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5031}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0398}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2263}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1740}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0469}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2895}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3667}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4151}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0968}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0025}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1185}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0300}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1886}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1787}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5699}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1906}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3393}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2079}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3152}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0500}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0312}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1978}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.7061}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0144}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3477}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2802}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.4351}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0731}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1297}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0588}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0044}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0287}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2405}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3136}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6221}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1014}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0592}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4389}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4028}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1054}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6703}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1715}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1030}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0220}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2151}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2330}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2203}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3754}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1934}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4409}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1647}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6698}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2426}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1770}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1023}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0462}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2483}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3390}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0080}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4227}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4313}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5746}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0774}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2858}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1612}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0661}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.4065}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3276}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1594}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1246}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1750}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0323}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1427}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0776}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0650}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4542}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}

{space 4}{hline 13}{c  TT}{hline 10}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp11}{space 1}
{space 4}{hline 13}{c   +}{hline 10}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1116}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0455}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2026}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0557}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.4902}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0388}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.4803}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2004}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0153}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1028}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.6465}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}
 
Warning: f162016 has 648 values < 0. Used in calculations
 
Distributional summary statistics, 5 quantile groups

{hline 10}{c TT}{hline 64}
Quantile  {c |}
group     {c |}    Quantile  % of median     Share, %      L(p), %        GL(p)
{hline 10}{c +}{hline 64}
        1 {c |}      {res}-1.201     -467.965   -2.869e+10   -2.869e+10       -0.452
        {txt}2 {c |}      {res}-0.290     -113.127   -7.033e+09   -3.572e+10       -0.563
        {txt}3 {c |}       {res}0.378      147.226    2.523e+09   -3.320e+10       -0.523
        {txt}4 {c |}       {res}1.348      525.256    1.116e+10   -2.204e+10       -0.347
        {txt}5 {c |}            {res}                 2.204e+10      100.000        0.000
{txt}{hline 10}{c BT}{hline 64}
Share = quantile group share of total f162016; 
L(p)=cumulative group share; GL(p)=L(p)*mean(f162016)
(1,501 real changes made)
(1,501 real changes made)
Now calculating 7_2006

Principal components/correlation{col 50}Number of obs    = {res}     1,536
{col 50}{txt}Number of comp.  = {res}        11
{col 50}{txt}Trace            {col 67}=  {res}       11
{col 5}{txt}Rotation: (unrotated = principal){col 50}Rho              = {res}    1.0000

{txt}{col 5}{hline 13}{c TT}{hline 60}
{col 5}   Component {c |}   Eigenvalue   Difference         Proportion   Cumulative
{col 5}{hline 13}{c +}{hline 60}
{col 5}{ralign 12:Comp1} {c |}{res}      3.83375      1.49164             0.3485       0.3485
{txt}{col 5}{ralign 12:Comp2} {c |}{res}      2.34211      1.43255             0.2129       0.5614
{txt}{col 5}{ralign 12:Comp3} {c |}{res}      .909565      .141511             0.0827       0.6441
{txt}{col 5}{ralign 12:Comp4} {c |}{res}      .768054     .0967357             0.0698       0.7140
{txt}{col 5}{ralign 12:Comp5} {c |}{res}      .671318      .166373             0.0610       0.7750
{txt}{col 5}{ralign 12:Comp6} {c |}{res}      .504945     .0158888             0.0459       0.8209
{txt}{col 5}{ralign 12:Comp7} {c |}{res}      .489056     .0487105             0.0445       0.8653
{txt}{col 5}{ralign 12:Comp8} {c |}{res}      .440346     .0423672             0.0400       0.9054
{txt}{col 5}{ralign 12:Comp9} {c |}{res}      .397978     .0307525             0.0362       0.9416
{txt}{col 5}{ralign 12:Comp10} {c |}{res}      .367226     .0915784             0.0334       0.9749
{txt}{col 5}{ralign 12:Comp11} {c |}{res}      .275647            .             0.0251       1.0000
{txt}{col 5}{hline 13}{c BT}{hline 60}

Principal components (eigenvectors) 

{space 4}{hline 13}{c  TT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp1}{space 1}{space 1}{ralign 8:Comp2}{space 1}{space 1}{ralign 8:Comp3}{space 1}{space 1}{ralign 8:Comp4}{space 1}{space 1}{ralign 8:Comp5}{space 1}{space 1}{ralign 8:Comp6}{space 1}{space 1}{ralign 8:Comp7}{space 1}{space 1}{ralign 8:Comp8}{space 1}{space 1}{ralign 8:Comp9}{space 1}{space 1}{ralign 8:Comp10}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3947}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2553}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0091}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0469}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0539}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0912}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1533}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3818}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1316}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0329}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.4112}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0199}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1186}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0831}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0265}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3289}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2556}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1908}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.7261}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0400}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2361}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3033}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1229}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5350}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.6138}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0412}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4030}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0423}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0886}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0078}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3142}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1140}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1162}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.7314}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1392}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0482}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5489}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0082}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1164}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0373}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.1033}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2196}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.9432}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1918}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0996}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0237}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0306}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0198}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0509}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0002}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3903}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0628}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0259}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1869}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2954}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2355}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4762}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4954}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4088}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0269}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1528}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4758}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1132}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0953}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0338}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.7463}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3688}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0837}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0969}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1174}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.1916}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4910}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1170}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0265}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1475}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3924}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0366}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2041}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0558}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6192}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3953}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1299}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0577}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1592}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3949}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0489}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1469}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2648}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4008}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4786}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3757}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0493}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1438}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2289}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5221}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0729}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2444}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5205}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1125}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3322}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0147}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5390}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1284}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1023}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2274}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3237}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0327}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4248}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2803}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5084}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}

{space 4}{hline 13}{c  TT}{hline 10}{c  TT}{hline 13}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp11}{space 1}{c |}{space 1}{ralign 11:Unexplained}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{c   +}{hline 13}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.7602}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.2649}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0202}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0420}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0176}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.1594}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0631}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3202}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.3980}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2276}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0854}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{c  BT}{hline 13}
{txt}({bf:score} assumed)
(10 components skipped)

Scoring coefficients 
{col 5}sum of squares(column-loading) = 1

{space 4}{hline 13}{c  TT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp1}{space 1}{space 1}{ralign 8:Comp2}{space 1}{space 1}{ralign 8:Comp3}{space 1}{space 1}{ralign 8:Comp4}{space 1}{space 1}{ralign 8:Comp5}{space 1}{space 1}{ralign 8:Comp6}{space 1}{space 1}{ralign 8:Comp7}{space 1}{space 1}{ralign 8:Comp8}{space 1}{space 1}{ralign 8:Comp9}{space 1}{space 1}{ralign 8:Comp10}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3947}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2553}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0091}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0469}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0539}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0912}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1533}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3818}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1316}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0329}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.4112}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0199}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1186}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0831}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0265}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3289}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2556}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1908}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.7261}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0400}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2361}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3033}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1229}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5350}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.6138}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0412}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4030}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0423}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0886}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0078}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3142}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1140}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1162}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.7314}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1392}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0482}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5489}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0082}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1164}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0373}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.1033}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2196}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.9432}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1918}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0996}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0237}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0306}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0198}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0509}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0002}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3903}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0628}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0259}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1869}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2954}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2355}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4762}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4954}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4088}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0269}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1528}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4758}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1132}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0953}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0338}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.7463}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3688}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0837}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0969}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1174}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.1916}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4910}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1170}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0265}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1475}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3924}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0366}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2041}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0558}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6192}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3953}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1299}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0577}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1592}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3949}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0489}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1469}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2648}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4008}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4786}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3757}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0493}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1438}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2289}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5221}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0729}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2444}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5205}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1125}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3322}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0147}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5390}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1284}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1023}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2274}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3237}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0327}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4248}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2803}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5084}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}

{space 4}{hline 13}{c  TT}{hline 10}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp11}{space 1}
{space 4}{hline 13}{c   +}{hline 10}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.7602}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.2649}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0202}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0420}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0176}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.1594}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0631}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3202}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.3980}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2276}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0854}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}
 
Warning: f172006 has 883 values < 0. Used in calculations
 
Distributional summary statistics, 5 quantile groups

{hline 10}{c TT}{hline 64}
Quantile  {c |}
group     {c |}    Quantile  % of median     Share, %      L(p), %        GL(p)
{hline 10}{c +}{hline 64}
        1 {c |}      {res}-1.755      281.293   -5.507e+09   -5.507e+09       -0.473
        {txt}2 {c |}      {res}-1.123      179.987   -2.969e+09   -8.476e+09       -0.728
        {txt}3 {c |}       {res}0.008       -1.305   -1.265e+09   -9.742e+09       -0.837
        {txt}4 {c |}       {res}1.880     -301.355    2.338e+09   -7.403e+09       -0.636
        {txt}5 {c |}            {res}                 7.403e+09      100.000        0.000
{txt}{hline 10}{c BT}{hline 64}
Share = quantile group share of total f172006; 
L(p)=cumulative group share; GL(p)=L(p)*mean(f172006)
(1,536 real changes made)
(1,536 real changes made)
Now calculating 7_2008

Principal components/correlation{col 50}Number of obs    = {res}     1,502
{col 50}{txt}Number of comp.  = {res}        11
{col 50}{txt}Trace            {col 67}=  {res}       11
{col 5}{txt}Rotation: (unrotated = principal){col 50}Rho              = {res}    1.0000

{txt}{col 5}{hline 13}{c TT}{hline 60}
{col 5}   Component {c |}   Eigenvalue   Difference         Proportion   Cumulative
{col 5}{hline 13}{c +}{hline 60}
{col 5}{ralign 12:Comp1} {c |}{res}       4.2962      2.94505             0.3906       0.3906
{txt}{col 5}{ralign 12:Comp2} {c |}{res}      1.35115      .464597             0.1228       0.5134
{txt}{col 5}{ralign 12:Comp3} {c |}{res}      .886554      .103246             0.0806       0.5940
{txt}{col 5}{ralign 12:Comp4} {c |}{res}      .783308      .104807             0.0712       0.6652
{txt}{col 5}{ralign 12:Comp5} {c |}{res}      .678501     .0423748             0.0617       0.7269
{txt}{col 5}{ralign 12:Comp6} {c |}{res}      .636126     .0667515             0.0578       0.7847
{txt}{col 5}{ralign 12:Comp7} {c |}{res}      .569375     .0267887             0.0518       0.8365
{txt}{col 5}{ralign 12:Comp8} {c |}{res}      .542586     .0791898             0.0493       0.8858
{txt}{col 5}{ralign 12:Comp9} {c |}{res}      .463396     .0241842             0.0421       0.9279
{txt}{col 5}{ralign 12:Comp10} {c |}{res}      .439212     .0856235             0.0399       0.9679
{txt}{col 5}{ralign 12:Comp11} {c |}{res}      .353588            .             0.0321       1.0000
{txt}{col 5}{hline 13}{c BT}{hline 60}

Principal components (eigenvectors) 

{space 4}{hline 13}{c  TT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp1}{space 1}{space 1}{ralign 8:Comp2}{space 1}{space 1}{ralign 8:Comp3}{space 1}{space 1}{ralign 8:Comp4}{space 1}{space 1}{ralign 8:Comp5}{space 1}{space 1}{ralign 8:Comp6}{space 1}{space 1}{ralign 8:Comp7}{space 1}{space 1}{ralign 8:Comp8}{space 1}{space 1}{ralign 8:Comp9}{space 1}{space 1}{ralign 8:Comp10}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3005}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3708}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2179}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2400}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0274}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0186}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4689}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4359}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0838}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4664}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3726}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2598}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0893}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0779}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0414}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1978}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1214}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0607}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1024}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3077}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3242}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1905}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1195}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2641}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1803}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4018}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3990}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5616}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1454}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2626}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3124}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0689}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0075}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1265}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.7911}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2095}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2018}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3167}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2178}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1242}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1873}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4289}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1198}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.8285}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2225}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0703}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1266}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0417}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0674}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0536}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3665}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0931}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0322}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0113}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0850}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4761}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1858}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1993}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2010}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5031}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3204}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2618}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2306}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3252}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0206}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0867}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2612}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5341}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4767}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2058}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1133}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4042}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.8907}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1272}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0159}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0123}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1138}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0015}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0279}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0096}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3066}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3204}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1193}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0050}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4529}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4733}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0436}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1617}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4587}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2958}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3513}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0849}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1127}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1548}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2470}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2231}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4755}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1395}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5899}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3572}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2565}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4686}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2034}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1349}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1255}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4921}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4535}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1351}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2873}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2999}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}

{space 4}{hline 13}{c  TT}{hline 10}{c  TT}{hline 13}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp11}{space 1}{c |}{space 1}{ralign 11:Unexplained}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{c   +}{hline 13}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1778}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.7843}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1261}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0897}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0247}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.5041}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.1970}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0068}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1845}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0284}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0276}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{c  BT}{hline 13}
{txt}({bf:score} assumed)
(10 components skipped)

Scoring coefficients 
{col 5}sum of squares(column-loading) = 1

{space 4}{hline 13}{c  TT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp1}{space 1}{space 1}{ralign 8:Comp2}{space 1}{space 1}{ralign 8:Comp3}{space 1}{space 1}{ralign 8:Comp4}{space 1}{space 1}{ralign 8:Comp5}{space 1}{space 1}{ralign 8:Comp6}{space 1}{space 1}{ralign 8:Comp7}{space 1}{space 1}{ralign 8:Comp8}{space 1}{space 1}{ralign 8:Comp9}{space 1}{space 1}{ralign 8:Comp10}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3005}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3708}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2179}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2400}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0274}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0186}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4689}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4359}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0838}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4664}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3726}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2598}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0893}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0779}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0414}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1978}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1214}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0607}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1024}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3077}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3242}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1905}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1195}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2641}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1803}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4018}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3990}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5616}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1454}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2626}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3124}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0689}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0075}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1265}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.7911}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2095}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2018}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3167}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2178}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1242}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1873}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4289}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1198}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.8285}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2225}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0703}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1266}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0417}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0674}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0536}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3665}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0931}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0322}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0113}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0850}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4761}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1858}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1993}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2010}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5031}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3204}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2618}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2306}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3252}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0206}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0867}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2612}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5341}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4767}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2058}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1133}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4042}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.8907}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1272}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0159}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0123}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1138}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0015}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0279}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0096}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3066}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3204}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1193}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0050}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4529}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4733}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0436}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1617}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4587}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2958}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3513}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0849}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1127}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1548}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2470}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2231}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4755}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1395}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5899}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3572}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2565}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4686}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2034}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1349}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1255}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4921}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4535}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1351}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2873}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2999}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}

{space 4}{hline 13}{c  TT}{hline 10}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp11}{space 1}
{space 4}{hline 13}{c   +}{hline 10}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1778}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.7843}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1261}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0897}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0247}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.5041}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.1970}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0068}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1845}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0284}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0276}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}
 
Warning: f172008 has 562 values < 0. Used in calculations
 
Distributional summary statistics, 5 quantile groups

{hline 10}{c TT}{hline 64}
Quantile  {c |}
group     {c |}    Quantile  % of median     Share, %      L(p), %        GL(p)
{hline 10}{c +}{hline 64}
        1 {c |}      {res}-1.524     -712.064    1.351e+10    1.351e+10       -0.683
        {txt}2 {c |}       {res}0.105       49.075    2.810e+09    1.632e+10       -0.824
        {txt}3 {c |}       {res}0.862      402.718   -2.958e+09    1.336e+10       -0.675
        {txt}4 {c |}       {res}1.946      908.749   -5.003e+09    8.360e+09       -0.422
        {txt}5 {c |}            {res}                -8.360e+09      100.000       -0.000
{txt}{hline 10}{c BT}{hline 64}
Share = quantile group share of total f172008; 
L(p)=cumulative group share; GL(p)=L(p)*mean(f172008)
(1,502 real changes made)
(1,502 real changes made)
Now calculating 7_2010

Principal components/correlation{col 50}Number of obs    = {res}     1,536
{col 50}{txt}Number of comp.  = {res}        11
{col 50}{txt}Trace            {col 67}=  {res}       11
{col 5}{txt}Rotation: (unrotated = principal){col 50}Rho              = {res}    1.0000

{txt}{col 5}{hline 13}{c TT}{hline 60}
{col 5}   Component {c |}   Eigenvalue   Difference         Proportion   Cumulative
{col 5}{hline 13}{c +}{hline 60}
{col 5}{ralign 12:Comp1} {c |}{res}      4.19795      2.83661             0.3816       0.3816
{txt}{col 5}{ralign 12:Comp2} {c |}{res}      1.36134      .412872             0.1238       0.5054
{txt}{col 5}{ralign 12:Comp3} {c |}{res}      .948468     .0863697             0.0862       0.5916
{txt}{col 5}{ralign 12:Comp4} {c |}{res}      .862098      .178122             0.0784       0.6700
{txt}{col 5}{ralign 12:Comp5} {c |}{res}      .683977     .0689741             0.0622       0.7322
{txt}{col 5}{ralign 12:Comp6} {c |}{res}      .615003     .0749407             0.0559       0.7881
{txt}{col 5}{ralign 12:Comp7} {c |}{res}      .540062     .0347765             0.0491       0.8372
{txt}{col 5}{ralign 12:Comp8} {c |}{res}      .505285     .0172217             0.0459       0.8831
{txt}{col 5}{ralign 12:Comp9} {c |}{res}      .488064     .0433153             0.0444       0.9275
{txt}{col 5}{ralign 12:Comp10} {c |}{res}      .444748     .0917427             0.0404       0.9679
{txt}{col 5}{ralign 12:Comp11} {c |}{res}      .353006            .             0.0321       1.0000
{txt}{col 5}{hline 13}{c BT}{hline 60}

Principal components (eigenvectors) 

{space 4}{hline 13}{c  TT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp1}{space 1}{space 1}{ralign 8:Comp2}{space 1}{space 1}{ralign 8:Comp3}{space 1}{space 1}{ralign 8:Comp4}{space 1}{space 1}{ralign 8:Comp5}{space 1}{space 1}{ralign 8:Comp6}{space 1}{space 1}{ralign 8:Comp7}{space 1}{space 1}{ralign 8:Comp8}{space 1}{space 1}{ralign 8:Comp9}{space 1}{space 1}{ralign 8:Comp10}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3143}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3947}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0387}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0326}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2443}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3142}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3156}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2017}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3709}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4619}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3642}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2629}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0138}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0498}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0673}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2717}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1209}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3230}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4417}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0274}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3049}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3235}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1008}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2732}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3732}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0833}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5497}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3409}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3006}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2504}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2360}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1663}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1402}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.8163}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2057}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3387}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0912}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1034}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2111}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0857}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2389}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4381}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1727}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2125}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.7050}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1134}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1705}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3390}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1035}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1071}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3624}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1469}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0365}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0844}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1191}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3735}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0515}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3565}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3036}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.6801}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3266}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2642}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0673}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0189}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4460}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0730}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.6025}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0155}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3614}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3433}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1066}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2178}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.9557}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1276}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0985}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0109}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0127}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0028}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0050}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0228}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3060}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2736}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0526}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3284}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1797}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6900}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0177}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2559}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2635}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0307}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3747}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1308}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0254}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2662}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0088}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1413}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3026}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1385}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4270}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1939}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2819}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4691}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1269}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0882}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0448}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2278}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2976}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.6334}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2174}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2915}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}

{space 4}{hline 13}{c  TT}{hline 10}{c  TT}{hline 13}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp11}{space 1}{c |}{space 1}{ralign 11:Unexplained}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{c   +}{hline 13}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.3054}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.6344}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0025}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0510}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0026}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0232}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0522}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0327}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2763}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.6482}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0277}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{c  BT}{hline 13}
{txt}({bf:score} assumed)
(10 components skipped)

Scoring coefficients 
{col 5}sum of squares(column-loading) = 1

{space 4}{hline 13}{c  TT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp1}{space 1}{space 1}{ralign 8:Comp2}{space 1}{space 1}{ralign 8:Comp3}{space 1}{space 1}{ralign 8:Comp4}{space 1}{space 1}{ralign 8:Comp5}{space 1}{space 1}{ralign 8:Comp6}{space 1}{space 1}{ralign 8:Comp7}{space 1}{space 1}{ralign 8:Comp8}{space 1}{space 1}{ralign 8:Comp9}{space 1}{space 1}{ralign 8:Comp10}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3143}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3947}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0387}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0326}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2443}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3142}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3156}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2017}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3709}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4619}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3642}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2629}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0138}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0498}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0673}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2717}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1209}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3230}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4417}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0274}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3049}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3235}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1008}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2732}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3732}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0833}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5497}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3409}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3006}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2504}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2360}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1663}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1402}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.8163}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2057}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3387}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0912}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1034}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2111}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0857}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2389}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4381}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1727}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2125}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.7050}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1134}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1705}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3390}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1035}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1071}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3624}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1469}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0365}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0844}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1191}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3735}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0515}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3565}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3036}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.6801}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3266}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2642}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0673}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0189}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4460}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0730}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.6025}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0155}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3614}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3433}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1066}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2178}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.9557}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1276}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0985}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0109}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0127}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0028}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0050}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0228}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3060}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2736}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0526}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3284}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1797}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6900}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0177}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2559}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2635}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0307}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3747}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1308}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0254}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2662}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0088}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1413}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3026}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1385}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4270}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1939}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2819}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4691}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1269}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0882}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0448}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2278}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2976}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.6334}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2174}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2915}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}

{space 4}{hline 13}{c  TT}{hline 10}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp11}{space 1}
{space 4}{hline 13}{c   +}{hline 10}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.3054}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.6344}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0025}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0510}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0026}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0232}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0522}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0327}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2763}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.6482}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0277}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}
 
Warning: f172010 has 664 values < 0. Used in calculations
 
Distributional summary statistics, 5 quantile groups

{hline 10}{c TT}{hline 64}
Quantile  {c |}
group     {c |}    Quantile  % of median     Share, %      L(p), %        GL(p)
{hline 10}{c +}{hline 64}
        1 {c |}      {res}-1.642     -298.862   -3.566e+10   -3.566e+10       -0.682
        {txt}2 {c |}      {res}-0.066      -12.000   -6.097e+09   -4.176e+10       -0.799
        {txt}3 {c |}       {res}0.964      175.482    4.986e+09   -3.677e+10       -0.704
        {txt}4 {c |}       {res}1.694      308.442    1.355e+10   -2.322e+10       -0.444
        {txt}5 {c |}            {res}                 2.322e+10      100.000        0.000
{txt}{hline 10}{c BT}{hline 64}
Share = quantile group share of total f172010; 
L(p)=cumulative group share; GL(p)=L(p)*mean(f172010)
(1,536 real changes made)
(1,536 real changes made)
Now calculating 7_2012

Principal components/correlation{col 50}Number of obs    = {res}     1,620
{col 50}{txt}Number of comp.  = {res}        11
{col 50}{txt}Trace            {col 67}=  {res}       11
{col 5}{txt}Rotation: (unrotated = principal){col 50}Rho              = {res}    1.0000

{txt}{col 5}{hline 13}{c TT}{hline 60}
{col 5}   Component {c |}   Eigenvalue   Difference         Proportion   Cumulative
{col 5}{hline 13}{c +}{hline 60}
{col 5}{ralign 12:Comp1} {c |}{res}      3.27422      1.77238             0.2977       0.2977
{txt}{col 5}{ralign 12:Comp2} {c |}{res}      1.50184      .533602             0.1365       0.4342
{txt}{col 5}{ralign 12:Comp3} {c |}{res}      .968238     .0571685             0.0880       0.5222
{txt}{col 5}{ralign 12:Comp4} {c |}{res}       .91107     .0385726             0.0828       0.6050
{txt}{col 5}{ralign 12:Comp5} {c |}{res}      .872497      .158964             0.0793       0.6844
{txt}{col 5}{ralign 12:Comp6} {c |}{res}      .713533     .0631784             0.0649       0.7492
{txt}{col 5}{ralign 12:Comp7} {c |}{res}      .650354     .0565088             0.0591       0.8083
{txt}{col 5}{ralign 12:Comp8} {c |}{res}      .593846     .0390714             0.0540       0.8623
{txt}{col 5}{ralign 12:Comp9} {c |}{res}      .554774     .0527432             0.0504       0.9128
{txt}{col 5}{ralign 12:Comp10} {c |}{res}      .502031      .044432             0.0456       0.9584
{txt}{col 5}{ralign 12:Comp11} {c |}{res}      .457599            .             0.0416       1.0000
{txt}{col 5}{hline 13}{c BT}{hline 60}

Principal components (eigenvectors) 

{space 4}{hline 13}{c  TT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp1}{space 1}{space 1}{ralign 8:Comp2}{space 1}{space 1}{ralign 8:Comp3}{space 1}{space 1}{ralign 8:Comp4}{space 1}{space 1}{ralign 8:Comp5}{space 1}{space 1}{ralign 8:Comp6}{space 1}{space 1}{ralign 8:Comp7}{space 1}{space 1}{ralign 8:Comp8}{space 1}{space 1}{ralign 8:Comp9}{space 1}{space 1}{ralign 8:Comp10}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2580}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3792}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0567}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4701}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2891}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2343}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1671}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5897}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0919}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1184}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3773}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3197}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0912}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1523}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1165}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0011}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0087}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2709}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1172}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2585}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2563}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2805}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4069}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3701}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1383}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5688}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4297}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0445}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1377}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0670}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2610}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0435}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1838}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.6470}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4727}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2256}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4207}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0464}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0709}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1334}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2503}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4505}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1324}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0581}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2390}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5826}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0824}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2791}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4527}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1570}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3745}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2293}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0932}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1654}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1663}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1829}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2925}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5195}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1565}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0021}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3596}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2252}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0640}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0949}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0168}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2160}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.6501}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2697}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3229}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3513}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0384}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3132}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.8620}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2489}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2110}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0612}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2106}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0395}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0227}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0259}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3185}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2186}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0753}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1734}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5667}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3463}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2222}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1572}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0527}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5450}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3728}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0711}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0061}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2614}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4444}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0293}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0132}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2917}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0982}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.6715}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2885}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4650}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1003}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0137}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1099}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1632}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0381}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2068}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.7792}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0101}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}

{space 4}{hline 13}{c  TT}{hline 10}{c  TT}{hline 13}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp11}{space 1}{c |}{space 1}{ralign 11:Unexplained}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{c   +}{hline 13}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1698}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.7459}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0209}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0354}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0511}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.5745}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.1920}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0077}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0039}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2085}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0068}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{c  BT}{hline 13}
{txt}({bf:score} assumed)
(10 components skipped)

Scoring coefficients 
{col 5}sum of squares(column-loading) = 1

{space 4}{hline 13}{c  TT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp1}{space 1}{space 1}{ralign 8:Comp2}{space 1}{space 1}{ralign 8:Comp3}{space 1}{space 1}{ralign 8:Comp4}{space 1}{space 1}{ralign 8:Comp5}{space 1}{space 1}{ralign 8:Comp6}{space 1}{space 1}{ralign 8:Comp7}{space 1}{space 1}{ralign 8:Comp8}{space 1}{space 1}{ralign 8:Comp9}{space 1}{space 1}{ralign 8:Comp10}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2580}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3792}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0567}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4701}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2891}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2343}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1671}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5897}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0919}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1184}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3773}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3197}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0912}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1523}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1165}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0011}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0087}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2709}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1172}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2585}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2563}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2805}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4069}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3701}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1383}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5688}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4297}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0445}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1377}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0670}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2610}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0435}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1838}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.6470}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4727}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2256}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4207}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0464}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0709}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1334}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2503}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4505}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1324}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0581}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2390}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5826}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0824}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2791}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4527}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1570}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3745}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2293}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0932}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1654}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1663}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1829}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2925}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5195}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1565}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0021}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3596}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2252}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0640}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0949}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0168}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2160}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.6501}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2697}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3229}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3513}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0384}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3132}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.8620}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2489}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2110}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0612}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2106}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0395}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0227}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0259}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3185}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2186}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0753}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1734}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5667}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3463}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2222}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1572}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0527}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5450}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3728}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0711}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0061}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2614}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4444}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0293}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0132}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2917}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0982}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.6715}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2885}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4650}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1003}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0137}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1099}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1632}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0381}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2068}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.7792}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0101}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}

{space 4}{hline 13}{c  TT}{hline 10}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp11}{space 1}
{space 4}{hline 13}{c   +}{hline 10}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1698}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.7459}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0209}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0354}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0511}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.5745}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.1920}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0077}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0039}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2085}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0068}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}
 
Warning: f172012 has 762 values < 0. Used in calculations
 
Distributional summary statistics, 5 quantile groups

{hline 10}{c TT}{hline 64}
Quantile  {c |}
group     {c |}    Quantile  % of median     Share, %      L(p), %        GL(p)
{hline 10}{c +}{hline 64}
        1 {c |}      {res}-1.051     -252.618   -1.124e+10   -1.124e+10       -0.584
        {txt}2 {c |}      {res}-0.008       -1.875   -1.607e+09   -1.284e+10       -0.667
        {txt}3 {c |}       {res}0.711      171.008    2.470e+09   -1.037e+10       -0.539
        {txt}4 {c |}       {res}1.360      326.885    2.530e+09   -7.845e+09       -0.408
        {txt}5 {c |}            {res}                 7.845e+09      100.000        0.000
{txt}{hline 10}{c BT}{hline 64}
Share = quantile group share of total f172012; 
L(p)=cumulative group share; GL(p)=L(p)*mean(f172012)
(1,620 real changes made)
(1,620 real changes made)
Now calculating 7_2014

Principal components/correlation{col 50}Number of obs    = {res}     1,488
{col 50}{txt}Number of comp.  = {res}        11
{col 50}{txt}Trace            {col 67}=  {res}       11
{col 5}{txt}Rotation: (unrotated = principal){col 50}Rho              = {res}    1.0000

{txt}{col 5}{hline 13}{c TT}{hline 60}
{col 5}   Component {c |}   Eigenvalue   Difference         Proportion   Cumulative
{col 5}{hline 13}{c +}{hline 60}
{col 5}{ralign 12:Comp1} {c |}{res}      3.57948      2.06374             0.3254       0.3254
{txt}{col 5}{ralign 12:Comp2} {c |}{res}      1.51574      .580111             0.1378       0.4632
{txt}{col 5}{ralign 12:Comp3} {c |}{res}      .935628     .0991242             0.0851       0.5483
{txt}{col 5}{ralign 12:Comp4} {c |}{res}      .836504     .0607369             0.0760       0.6243
{txt}{col 5}{ralign 12:Comp5} {c |}{res}      .775767     .0774035             0.0705       0.6948
{txt}{col 5}{ralign 12:Comp6} {c |}{res}      .698364     .0450183             0.0635       0.7583
{txt}{col 5}{ralign 12:Comp7} {c |}{res}      .653345     .0921918             0.0594       0.8177
{txt}{col 5}{ralign 12:Comp8} {c |}{res}      .561153     .0337744             0.0510       0.8687
{txt}{col 5}{ralign 12:Comp9} {c |}{res}      .527379      .028032             0.0479       0.9167
{txt}{col 5}{ralign 12:Comp10} {c |}{res}      .499347     .0820529             0.0454       0.9621
{txt}{col 5}{ralign 12:Comp11} {c |}{res}      .417294            .             0.0379       1.0000
{txt}{col 5}{hline 13}{c BT}{hline 60}

Principal components (eigenvectors) 

{space 4}{hline 13}{c  TT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp1}{space 1}{space 1}{ralign 8:Comp2}{space 1}{space 1}{ralign 8:Comp3}{space 1}{space 1}{ralign 8:Comp4}{space 1}{space 1}{ralign 8:Comp5}{space 1}{space 1}{ralign 8:Comp6}{space 1}{space 1}{ralign 8:Comp7}{space 1}{space 1}{ralign 8:Comp8}{space 1}{space 1}{ralign 8:Comp9}{space 1}{space 1}{ralign 8:Comp10}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3380}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3340}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0840}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2300}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1092}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2397}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1588}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0104}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4648}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5284}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3514}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2942}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3261}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1712}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0627}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2997}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0088}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0404}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0222}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1809}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2557}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3884}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2629}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1038}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3161}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3748}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5735}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2761}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2128}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1045}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2330}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2862}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6213}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1534}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3039}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1386}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5353}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0119}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1977}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0863}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2627}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3706}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1463}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4119}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0068}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5751}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0555}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5073}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0689}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0217}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3819}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1424}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2360}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1591}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2336}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0728}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1496}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0795}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2193}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5760}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3359}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2225}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1970}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0974}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3730}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4121}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2209}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0230}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3794}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5233}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1390}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3894}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4379}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.7641}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0270}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1270}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1416}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0283}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1095}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0208}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2815}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2915}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3342}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0956}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4082}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3798}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4853}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3227}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2372}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0234}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3423}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0485}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0171}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1324}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6217}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1610}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0812}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4909}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4134}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1241}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3149}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3507}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1087}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2619}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2106}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0285}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1511}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5584}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5130}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2174}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}

{space 4}{hline 13}{c  TT}{hline 10}{c  TT}{hline 13}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp11}{space 1}{c |}{space 1}{ralign 11:Unexplained}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{c   +}{hline 13}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.3526}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.7250}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0451}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0971}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0779}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.5333}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1150}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0587}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0880}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.1282}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0847}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{c  BT}{hline 13}
{txt}({bf:score} assumed)
(10 components skipped)

Scoring coefficients 
{col 5}sum of squares(column-loading) = 1

{space 4}{hline 13}{c  TT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp1}{space 1}{space 1}{ralign 8:Comp2}{space 1}{space 1}{ralign 8:Comp3}{space 1}{space 1}{ralign 8:Comp4}{space 1}{space 1}{ralign 8:Comp5}{space 1}{space 1}{ralign 8:Comp6}{space 1}{space 1}{ralign 8:Comp7}{space 1}{space 1}{ralign 8:Comp8}{space 1}{space 1}{ralign 8:Comp9}{space 1}{space 1}{ralign 8:Comp10}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3380}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3340}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0840}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2300}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1092}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2397}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1588}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0104}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4648}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5284}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3514}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2942}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3261}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1712}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0627}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2997}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0088}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0404}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0222}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1809}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2557}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3884}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2629}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1038}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3161}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3748}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5735}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2761}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2128}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1045}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2330}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2862}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6213}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1534}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3039}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1386}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5353}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0119}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1977}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0863}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2627}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3706}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1463}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4119}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0068}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5751}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0555}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5073}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0689}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0217}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3819}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1424}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2360}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1591}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2336}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0728}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1496}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0795}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2193}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5760}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3359}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2225}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1970}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0974}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3730}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4121}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2209}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0230}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3794}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5233}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1390}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3894}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4379}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.7641}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0270}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1270}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1416}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0283}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1095}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0208}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2815}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2915}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3342}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0956}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4082}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3798}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4853}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3227}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2372}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0234}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3423}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0485}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0171}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1324}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6217}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1610}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0812}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4909}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4134}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1241}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3149}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3507}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1087}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2619}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2106}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0285}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1511}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5584}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5130}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2174}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}

{space 4}{hline 13}{c  TT}{hline 10}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp11}{space 1}
{space 4}{hline 13}{c   +}{hline 10}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.3526}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.7250}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0451}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0971}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0779}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.5333}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1150}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0587}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0880}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.1282}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0847}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}
 
Warning: f172014 has 622 values < 0. Used in calculations
 
Distributional summary statistics, 5 quantile groups

{hline 10}{c TT}{hline 64}
Quantile  {c |}
group     {c |}    Quantile  % of median     Share, %      L(p), %        GL(p)
{hline 10}{c +}{hline 64}
        1 {c |}      {res}-1.229     -301.106   -1.001e+10   -1.001e+10       -0.604
        {txt}2 {c |}      {res}-0.230      -56.252   -1.712e+09   -1.172e+10       -0.707
        {txt}3 {c |}       {res}0.797      195.273    1.193e+09   -1.052e+10       -0.635
        {txt}4 {c |}       {res}1.568      384.097    4.161e+09   -6.364e+09       -0.384
        {txt}5 {c |}            {res}                 6.364e+09      100.000        0.000
{txt}{hline 10}{c BT}{hline 64}
Share = quantile group share of total f172014; 
L(p)=cumulative group share; GL(p)=L(p)*mean(f172014)
(1,488 real changes made)
(1,488 real changes made)
Now calculating 7_2016

Principal components/correlation{col 50}Number of obs    = {res}     1,511
{col 50}{txt}Number of comp.  = {res}        11
{col 50}{txt}Trace            {col 67}=  {res}       11
{col 5}{txt}Rotation: (unrotated = principal){col 50}Rho              = {res}    1.0000

{txt}{col 5}{hline 13}{c TT}{hline 60}
{col 5}   Component {c |}   Eigenvalue   Difference         Proportion   Cumulative
{col 5}{hline 13}{c +}{hline 60}
{col 5}{ralign 12:Comp1} {c |}{res}      3.08616      1.75339             0.2806       0.2806
{txt}{col 5}{ralign 12:Comp2} {c |}{res}      1.33277      .295642             0.1212       0.4017
{txt}{col 5}{ralign 12:Comp3} {c |}{res}      1.03713     .0774755             0.0943       0.4960
{txt}{col 5}{ralign 12:Comp4} {c |}{res}      .959652      .025391             0.0872       0.5832
{txt}{col 5}{ralign 12:Comp5} {c |}{res}      .934261      .209775             0.0849       0.6682
{txt}{col 5}{ralign 12:Comp6} {c |}{res}      .724486     .0566466             0.0659       0.7340
{txt}{col 5}{ralign 12:Comp7} {c |}{res}      .667839     .0411996             0.0607       0.7948
{txt}{col 5}{ralign 12:Comp8} {c |}{res}       .62664     .0258972             0.0570       0.8517
{txt}{col 5}{ralign 12:Comp9} {c |}{res}      .600742     .0429091             0.0546       0.9063
{txt}{col 5}{ralign 12:Comp10} {c |}{res}      .557833     .0853417             0.0507       0.9570
{txt}{col 5}{ralign 12:Comp11} {c |}{res}      .472492            .             0.0430       1.0000
{txt}{col 5}{hline 13}{c BT}{hline 60}

Principal components (eigenvectors) 

{space 4}{hline 13}{c  TT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp1}{space 1}{space 1}{ralign 8:Comp2}{space 1}{space 1}{ralign 8:Comp3}{space 1}{space 1}{ralign 8:Comp4}{space 1}{space 1}{ralign 8:Comp5}{space 1}{space 1}{ralign 8:Comp6}{space 1}{space 1}{ralign 8:Comp7}{space 1}{space 1}{ralign 8:Comp8}{space 1}{space 1}{ralign 8:Comp9}{space 1}{space 1}{ralign 8:Comp10}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3268}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4112}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0271}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1260}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0402}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2338}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0409}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3161}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.7047}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1003}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3787}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3738}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0305}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1553}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1845}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0111}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0228}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0747}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1506}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0839}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2939}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3894}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1271}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1668}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3229}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3072}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4445}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3833}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1035}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4050}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1889}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1322}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5405}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4780}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4981}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2169}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1104}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2317}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1238}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2158}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3052}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3643}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0817}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2066}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0604}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6693}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1853}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2409}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0415}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4178}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3537}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3341}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1829}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0951}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1916}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0710}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3215}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3615}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4080}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1208}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3538}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2211}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0009}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1367}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0277}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5359}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1711}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5594}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4194}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0163}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1031}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2372}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2791}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.7656}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5108}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0351}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0209}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0800}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0014}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0021}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1872}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0370}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.6653}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1419}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5423}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1168}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4100}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1306}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0023}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0579}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3512}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1080}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3399}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0552}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1173}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1625}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.6722}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2832}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3321}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0794}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3396}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3993}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1182}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1551}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0456}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1497}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0253}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2976}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0179}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.7571}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}

{space 4}{hline 13}{c  TT}{hline 10}{c  TT}{hline 13}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp11}{space 1}{c |}{space 1}{ralign 11:Unexplained}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{c   +}{hline 13}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.2074}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.7886}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0081}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0578}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0673}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.5136}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0317}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0137}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0677}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.2400}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0045}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{c  BT}{hline 13}
{txt}({bf:score} assumed)
(10 components skipped)

Scoring coefficients 
{col 5}sum of squares(column-loading) = 1

{space 4}{hline 13}{c  TT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp1}{space 1}{space 1}{ralign 8:Comp2}{space 1}{space 1}{ralign 8:Comp3}{space 1}{space 1}{ralign 8:Comp4}{space 1}{space 1}{ralign 8:Comp5}{space 1}{space 1}{ralign 8:Comp6}{space 1}{space 1}{ralign 8:Comp7}{space 1}{space 1}{ralign 8:Comp8}{space 1}{space 1}{ralign 8:Comp9}{space 1}{space 1}{ralign 8:Comp10}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3268}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4112}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0271}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1260}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0402}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2338}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0409}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3161}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.7047}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1003}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3787}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3738}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0305}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1553}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1845}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0111}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0228}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0747}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1506}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0839}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2939}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3894}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1271}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1668}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3229}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3072}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4445}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3833}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1035}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4050}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1889}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1322}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5405}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4780}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4981}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2169}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1104}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2317}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1238}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2158}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3052}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3643}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0817}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2066}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0604}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6693}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1853}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2409}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0415}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4178}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3537}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3341}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1829}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0951}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1916}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0710}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3215}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3615}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4080}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1208}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3538}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2211}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0009}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1367}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0277}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5359}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1711}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5594}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4194}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0163}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1031}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2372}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2791}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.7656}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5108}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0351}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0209}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0800}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0014}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0021}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1872}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0370}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.6653}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1419}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5423}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1168}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4100}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1306}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0023}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0579}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3512}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1080}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3399}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0552}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1173}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1625}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.6722}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2832}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3321}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0794}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3396}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3993}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1182}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1551}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0456}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1497}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0253}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2976}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0179}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.7571}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}

{space 4}{hline 13}{c  TT}{hline 10}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp11}{space 1}
{space 4}{hline 13}{c   +}{hline 10}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.2074}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.7886}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0081}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0578}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0673}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.5136}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0317}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0137}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0677}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.2400}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0045}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}
 
Warning: f172016 has 625 values < 0. Used in calculations
 
Distributional summary statistics, 5 quantile groups

{hline 10}{c TT}{hline 64}
Quantile  {c |}
group     {c |}    Quantile  % of median     Share, %      L(p), %        GL(p)
{hline 10}{c +}{hline 64}
        1 {c |}      {res}-1.108     -548.461   -6.385e+10   -6.385e+10       -0.553
        {txt}2 {c |}      {res}-0.090      -44.704   -1.223e+10   -7.608e+10       -0.659
        {txt}3 {c |}       {res}0.620      306.730    6.701e+09   -6.938e+10       -0.601
        {txt}4 {c |}       {res}1.517      750.742    3.079e+10   -3.860e+10       -0.334
        {txt}5 {c |}            {res}                 3.860e+10      100.000        0.000
{txt}{hline 10}{c BT}{hline 64}
Share = quantile group share of total f172016; 
L(p)=cumulative group share; GL(p)=L(p)*mean(f172016)
(1,511 real changes made)
(1,511 real changes made)
Now calculating 8_2006

Principal components/correlation{col 50}Number of obs    = {res}     1,491
{col 50}{txt}Number of comp.  = {res}        11
{col 50}{txt}Trace            {col 67}=  {res}       11
{col 5}{txt}Rotation: (unrotated = principal){col 50}Rho              = {res}    1.0000

{txt}{col 5}{hline 13}{c TT}{hline 60}
{col 5}   Component {c |}   Eigenvalue   Difference         Proportion   Cumulative
{col 5}{hline 13}{c +}{hline 60}
{col 5}{ralign 12:Comp1} {c |}{res}      3.36385      1.97973             0.3058       0.3058
{txt}{col 5}{ralign 12:Comp2} {c |}{res}      1.38412      .257878             0.1258       0.4316
{txt}{col 5}{ralign 12:Comp3} {c |}{res}      1.12625      .203551             0.1024       0.5340
{txt}{col 5}{ralign 12:Comp4} {c |}{res}      .922696      .132196             0.0839       0.6179
{txt}{col 5}{ralign 12:Comp5} {c |}{res}      .790501     .0845467             0.0719       0.6898
{txt}{col 5}{ralign 12:Comp6} {c |}{res}      .705954     .0946813             0.0642       0.7539
{txt}{col 5}{ralign 12:Comp7} {c |}{res}      .611273     .0181976             0.0556       0.8095
{txt}{col 5}{ralign 12:Comp8} {c |}{res}      .593075     .0542645             0.0539       0.8634
{txt}{col 5}{ralign 12:Comp9} {c |}{res}      .538811     .0326939             0.0490       0.9124
{txt}{col 5}{ralign 12:Comp10} {c |}{res}      .506117     .0487694             0.0460       0.9584
{txt}{col 5}{ralign 12:Comp11} {c |}{res}      .457347            .             0.0416       1.0000
{txt}{col 5}{hline 13}{c BT}{hline 60}

Principal components (eigenvectors) 

{space 4}{hline 13}{c  TT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp1}{space 1}{space 1}{ralign 8:Comp2}{space 1}{space 1}{ralign 8:Comp3}{space 1}{space 1}{ralign 8:Comp4}{space 1}{space 1}{ralign 8:Comp5}{space 1}{space 1}{ralign 8:Comp6}{space 1}{space 1}{ralign 8:Comp7}{space 1}{space 1}{ralign 8:Comp8}{space 1}{space 1}{ralign 8:Comp9}{space 1}{space 1}{ralign 8:Comp10}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2560}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3883}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3330}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2876}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0008}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4731}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3734}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2868}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3753}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0276}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3087}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2127}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3253}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4265}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2077}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0350}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2881}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3379}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5434}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1621}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3673}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0920}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2051}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2175}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2972}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3508}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2194}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1735}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2844}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5431}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2501}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0317}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4550}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1113}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.7613}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2768}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0846}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0301}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0219}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2190}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2993}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3523}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1303}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1399}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0768}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6636}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4576}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0013}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0055}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2536}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.4008}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1851}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0541}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1103}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1067}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3416}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1163}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0871}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0076}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1017}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3277}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3419}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1780}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0502}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0534}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0836}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6226}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5193}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0344}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1275}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1444}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0972}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5478}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6347}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5000}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0488}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0611}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0442}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0500}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0545}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2412}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4437}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3329}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3818}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0586}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0642}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2276}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2991}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5612}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1567}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2578}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4695}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2439}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3021}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1198}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0403}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2283}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4837}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4044}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3076}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3723}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3043}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1102}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0389}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0327}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0564}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0628}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4122}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0174}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.6458}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}

{space 4}{hline 13}{c  TT}{hline 10}{c  TT}{hline 13}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp11}{space 1}{c |}{space 1}{ralign 11:Unexplained}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{c   +}{hline 13}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0544}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0925}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3191}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0666}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.1725}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.7940}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2386}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0559}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0068}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0466}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3996}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{c  BT}{hline 13}
{txt}({bf:score} assumed)
(10 components skipped)

Scoring coefficients 
{col 5}sum of squares(column-loading) = 1

{space 4}{hline 13}{c  TT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp1}{space 1}{space 1}{ralign 8:Comp2}{space 1}{space 1}{ralign 8:Comp3}{space 1}{space 1}{ralign 8:Comp4}{space 1}{space 1}{ralign 8:Comp5}{space 1}{space 1}{ralign 8:Comp6}{space 1}{space 1}{ralign 8:Comp7}{space 1}{space 1}{ralign 8:Comp8}{space 1}{space 1}{ralign 8:Comp9}{space 1}{space 1}{ralign 8:Comp10}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2560}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3883}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3330}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2876}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0008}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4731}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3734}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2868}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3753}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0276}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3087}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2127}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3253}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4265}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2077}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0350}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2881}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3379}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5434}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1621}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3673}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0920}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2051}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2175}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2972}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3508}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2194}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1735}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2844}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5431}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2501}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0317}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4550}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1113}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.7613}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2768}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0846}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0301}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0219}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2190}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2993}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3523}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1303}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1399}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0768}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6636}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4576}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0013}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0055}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2536}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.4008}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1851}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0541}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1103}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1067}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3416}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1163}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0871}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0076}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1017}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3277}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3419}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1780}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0502}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0534}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0836}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6226}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5193}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0344}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1275}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1444}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0972}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5478}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6347}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5000}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0488}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0611}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0442}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0500}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0545}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2412}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4437}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3329}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3818}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0586}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0642}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2276}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2991}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5612}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1567}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2578}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4695}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2439}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3021}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1198}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0403}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2283}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4837}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4044}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3076}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3723}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3043}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1102}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0389}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0327}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0564}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0628}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4122}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0174}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.6458}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}

{space 4}{hline 13}{c  TT}{hline 10}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp11}{space 1}
{space 4}{hline 13}{c   +}{hline 10}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0544}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0925}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3191}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0666}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.1725}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.7940}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2386}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0559}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0068}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0466}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3996}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}
 
Warning: f182006 has 793 values < 0. Used in calculations
 
Distributional summary statistics, 5 quantile groups

{hline 10}{c TT}{hline 64}
Quantile  {c |}
group     {c |}    Quantile  % of median     Share, %      L(p), %        GL(p)
{hline 10}{c +}{hline 64}
        1 {c |}      {res}-1.292      358.175   -7.139e+09   -7.139e+09       -0.534
        {txt}2 {c |}      {res}-0.544      150.724   -2.255e+09   -9.394e+09       -0.703
        {txt}3 {c |}       {res}0.191      -52.881   -1.626e+08   -9.557e+09       -0.715
        {txt}4 {c |}       {res}1.582     -438.689    2.205e+09   -7.352e+09       -0.550
        {txt}5 {c |}            {res}                 7.352e+09      100.000        0.000
{txt}{hline 10}{c BT}{hline 64}
Share = quantile group share of total f182006; 
L(p)=cumulative group share; GL(p)=L(p)*mean(f182006)
(1,491 real changes made)
(1,491 real changes made)
Now calculating 8_2008

Principal components/correlation{col 50}Number of obs    = {res}     1,502
{col 50}{txt}Number of comp.  = {res}        11
{col 50}{txt}Trace            {col 67}=  {res}       11
{col 5}{txt}Rotation: (unrotated = principal){col 50}Rho              = {res}    1.0000

{txt}{col 5}{hline 13}{c TT}{hline 60}
{col 5}   Component {c |}   Eigenvalue   Difference         Proportion   Cumulative
{col 5}{hline 13}{c +}{hline 60}
{col 5}{ralign 12:Comp1} {c |}{res}      3.18696      1.83121             0.2897       0.2897
{txt}{col 5}{ralign 12:Comp2} {c |}{res}      1.35575      .258721             0.1233       0.4130
{txt}{col 5}{ralign 12:Comp3} {c |}{res}      1.09703      .187995             0.0997       0.5127
{txt}{col 5}{ralign 12:Comp4} {c |}{res}      .909035      .044954             0.0826       0.5953
{txt}{col 5}{ralign 12:Comp5} {c |}{res}      .864081     .0413296             0.0786       0.6739
{txt}{col 5}{ralign 12:Comp6} {c |}{res}      .822752      .188704             0.0748       0.7487
{txt}{col 5}{ralign 12:Comp7} {c |}{res}      .634047      .034641             0.0576       0.8063
{txt}{col 5}{ralign 12:Comp8} {c |}{res}      .599406     .0481126             0.0545       0.8608
{txt}{col 5}{ralign 12:Comp9} {c |}{res}      .551294     .0501199             0.0501       0.9109
{txt}{col 5}{ralign 12:Comp10} {c |}{res}      .501174     .0227041             0.0456       0.9565
{txt}{col 5}{ralign 12:Comp11} {c |}{res}       .47847            .             0.0435       1.0000
{txt}{col 5}{hline 13}{c BT}{hline 60}

Principal components (eigenvectors) 

{space 4}{hline 13}{c  TT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp1}{space 1}{space 1}{ralign 8:Comp2}{space 1}{space 1}{ralign 8:Comp3}{space 1}{space 1}{ralign 8:Comp4}{space 1}{space 1}{ralign 8:Comp5}{space 1}{space 1}{ralign 8:Comp6}{space 1}{space 1}{ralign 8:Comp7}{space 1}{space 1}{ralign 8:Comp8}{space 1}{space 1}{ralign 8:Comp9}{space 1}{space 1}{ralign 8:Comp10}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2532}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3735}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3589}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2945}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3106}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2413}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3483}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5007}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1362}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1761}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3460}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1972}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2287}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1100}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4129}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0967}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2721}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4400}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5346}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1974}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3828}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0744}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2061}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0117}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3281}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1654}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2784}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0702}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6097}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3461}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2172}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0579}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5042}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2901}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6919}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0389}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2318}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0885}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1756}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1671}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1820}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4221}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0324}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2488}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0354}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.8478}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0038}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0243}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0298}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0626}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3962}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2252}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0169}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1237}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0415}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1072}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1012}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4635}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2752}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5749}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3248}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3575}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1192}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2009}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1256}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2118}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6663}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0082}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2606}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2953}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1482}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0645}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5325}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.7663}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0553}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2701}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1517}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0303}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0443}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0323}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2981}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4322}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3438}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2053}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2269}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0498}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1003}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0086}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0189}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3849}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3044}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4107}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3118}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2638}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2591}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0655}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0200}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0095}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1152}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4239}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3512}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3105}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0876}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0171}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0790}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2206}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4310}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5712}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3646}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1781}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}

{space 4}{hline 13}{c  TT}{hline 10}{c  TT}{hline 13}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp11}{space 1}{c |}{space 1}{ralign 11:Unexplained}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{c   +}{hline 13}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0674}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0687}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3103}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1027}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0141}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.3636}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2289}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0121}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.5927}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.5540}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.2016}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{c  BT}{hline 13}
{txt}({bf:score} assumed)
(10 components skipped)

Scoring coefficients 
{col 5}sum of squares(column-loading) = 1

{space 4}{hline 13}{c  TT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp1}{space 1}{space 1}{ralign 8:Comp2}{space 1}{space 1}{ralign 8:Comp3}{space 1}{space 1}{ralign 8:Comp4}{space 1}{space 1}{ralign 8:Comp5}{space 1}{space 1}{ralign 8:Comp6}{space 1}{space 1}{ralign 8:Comp7}{space 1}{space 1}{ralign 8:Comp8}{space 1}{space 1}{ralign 8:Comp9}{space 1}{space 1}{ralign 8:Comp10}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2532}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3735}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3589}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2945}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3106}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2413}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3483}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5007}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1362}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1761}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3460}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1972}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2287}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1100}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4129}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0967}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2721}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4400}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5346}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1974}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3828}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0744}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2061}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0117}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3281}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1654}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2784}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0702}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6097}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3461}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2172}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0579}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5042}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2901}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6919}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0389}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2318}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0885}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1756}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1671}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1820}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4221}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0324}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2488}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0354}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.8478}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0038}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0243}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0298}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0626}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3962}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2252}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0169}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1237}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0415}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1072}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1012}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4635}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2752}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5749}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3248}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3575}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1192}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2009}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1256}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2118}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6663}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0082}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2606}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2953}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1482}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0645}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5325}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.7663}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0553}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2701}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1517}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0303}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0443}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0323}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2981}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4322}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3438}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2053}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2269}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0498}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1003}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0086}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0189}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3849}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3044}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4107}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3118}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2638}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2591}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0655}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0200}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0095}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1152}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4239}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3512}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3105}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0876}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0171}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0790}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2206}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4310}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5712}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3646}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1781}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}

{space 4}{hline 13}{c  TT}{hline 10}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp11}{space 1}
{space 4}{hline 13}{c   +}{hline 10}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0674}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0687}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3103}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1027}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0141}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.3636}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2289}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0121}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.5927}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.5540}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.2016}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}
 
Warning: f182008 has 743 values < 0. Used in calculations
 
Distributional summary statistics, 5 quantile groups

{hline 10}{c TT}{hline 64}
Quantile  {c |}
group     {c |}    Quantile  % of median     Share, %      L(p), %        GL(p)
{hline 10}{c +}{hline 64}
        1 {c |}      {res}-1.376     -681.206    2.222e+10    2.222e+10       -0.529
        {txt}2 {c |}      {res}-0.534     -264.408    7.447e+09    2.967e+10       -0.706
        {txt}3 {c |}       {res}0.283      140.346   -5.155e+08    2.915e+10       -0.694
        {txt}4 {c |}       {res}1.510      747.567   -8.105e+09    2.105e+10       -0.501
        {txt}5 {c |}            {res}                -2.105e+10      100.000       -0.000
{txt}{hline 10}{c BT}{hline 64}
Share = quantile group share of total f182008; 
L(p)=cumulative group share; GL(p)=L(p)*mean(f182008)
(1,502 real changes made)
(1,502 real changes made)
Now calculating 8_2010

Principal components/correlation{col 50}Number of obs    = {res}     1,506
{col 50}{txt}Number of comp.  = {res}        11
{col 50}{txt}Trace            {col 67}=  {res}       11
{col 5}{txt}Rotation: (unrotated = principal){col 50}Rho              = {res}    1.0000

{txt}{col 5}{hline 13}{c TT}{hline 60}
{col 5}   Component {c |}   Eigenvalue   Difference         Proportion   Cumulative
{col 5}{hline 13}{c +}{hline 60}
{col 5}{ralign 12:Comp1} {c |}{res}      3.22197      1.90459             0.2929       0.2929
{txt}{col 5}{ralign 12:Comp2} {c |}{res}      1.31738      .172037             0.1198       0.4127
{txt}{col 5}{ralign 12:Comp3} {c |}{res}      1.14535      .191026             0.1041       0.5168
{txt}{col 5}{ralign 12:Comp4} {c |}{res}      .954321      .118321             0.0868       0.6035
{txt}{col 5}{ralign 12:Comp5} {c |}{res}         .836      .112253             0.0760       0.6795
{txt}{col 5}{ralign 12:Comp6} {c |}{res}      .723748      .069722             0.0658       0.7453
{txt}{col 5}{ralign 12:Comp7} {c |}{res}      .654026     .0820918             0.0595       0.8048
{txt}{col 5}{ralign 12:Comp8} {c |}{res}      .571934      .008551             0.0520       0.8568
{txt}{col 5}{ralign 12:Comp9} {c |}{res}      .563383     .0433636             0.0512       0.9080
{txt}{col 5}{ralign 12:Comp10} {c |}{res}      .520019     .0281515             0.0473       0.9553
{txt}{col 5}{ralign 12:Comp11} {c |}{res}      .491868            .             0.0447       1.0000
{txt}{col 5}{hline 13}{c BT}{hline 60}

Principal components (eigenvectors) 

{space 4}{hline 13}{c  TT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp1}{space 1}{space 1}{ralign 8:Comp2}{space 1}{space 1}{ralign 8:Comp3}{space 1}{space 1}{ralign 8:Comp4}{space 1}{space 1}{ralign 8:Comp5}{space 1}{space 1}{ralign 8:Comp6}{space 1}{space 1}{ralign 8:Comp7}{space 1}{space 1}{ralign 8:Comp8}{space 1}{space 1}{ralign 8:Comp9}{space 1}{space 1}{ralign 8:Comp10}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1760}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4314}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2721}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3649}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5895}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3024}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3388}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0108}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0434}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1302}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3197}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3488}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0889}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0348}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1949}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2935}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.7316}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1893}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0446}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0578}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3620}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1146}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3223}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0631}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2481}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2661}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2145}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3951}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1381}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6196}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1596}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2542}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5609}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2761}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6231}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1181}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1511}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1178}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1103}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2575}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2934}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3548}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0065}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2652}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0791}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6612}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4108}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1347}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2382}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0834}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3992}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1603}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1185}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0784}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0631}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3620}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0499}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2398}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1819}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1576}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3523}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3560}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0388}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1336}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0736}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0535}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1668}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3916}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.7071}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1091}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1349}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0538}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4817}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.7774}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1695}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2391}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0343}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0577}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0027}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2133}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2801}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3402}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4050}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1896}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2317}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2621}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2320}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5315}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3485}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0704}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2969}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3946}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2908}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2232}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2555}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1364}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0553}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4758}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4431}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2107}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3949}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2485}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0576}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0294}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0370}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1486}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1548}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2298}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2392}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.6253}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}

{space 4}{hline 13}{c  TT}{hline 10}{c  TT}{hline 13}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp11}{space 1}{c |}{space 1}{ralign 11:Unexplained}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{c   +}{hline 13}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0552}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2578}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1021}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0408}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.1535}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.7361}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1688}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0807}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1440}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.2602}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.4792}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{c  BT}{hline 13}
{txt}({bf:score} assumed)
(10 components skipped)

Scoring coefficients 
{col 5}sum of squares(column-loading) = 1

{space 4}{hline 13}{c  TT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp1}{space 1}{space 1}{ralign 8:Comp2}{space 1}{space 1}{ralign 8:Comp3}{space 1}{space 1}{ralign 8:Comp4}{space 1}{space 1}{ralign 8:Comp5}{space 1}{space 1}{ralign 8:Comp6}{space 1}{space 1}{ralign 8:Comp7}{space 1}{space 1}{ralign 8:Comp8}{space 1}{space 1}{ralign 8:Comp9}{space 1}{space 1}{ralign 8:Comp10}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1760}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4314}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2721}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3649}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5895}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3024}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3388}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0108}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0434}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1302}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3197}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3488}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0889}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0348}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1949}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2935}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.7316}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1893}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0446}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0578}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3620}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1146}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3223}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0631}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2481}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2661}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2145}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3951}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1381}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6196}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1596}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2542}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5609}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2761}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6231}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1181}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1511}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1178}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1103}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2575}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2934}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3548}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0065}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2652}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0791}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6612}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4108}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1347}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2382}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0834}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3992}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1603}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1185}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0784}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0631}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3620}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0499}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2398}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1819}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1576}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3523}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3560}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0388}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1336}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0736}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0535}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1668}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3916}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.7071}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1091}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1349}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0538}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4817}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.7774}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1695}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2391}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0343}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0577}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0027}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2133}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2801}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3402}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4050}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1896}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2317}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2621}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2320}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5315}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3485}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0704}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2969}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3946}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2908}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2232}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2555}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1364}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0553}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4758}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4431}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2107}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3949}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2485}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0576}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0294}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0370}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1486}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1548}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2298}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2392}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.6253}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}

{space 4}{hline 13}{c  TT}{hline 10}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp11}{space 1}
{space 4}{hline 13}{c   +}{hline 10}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0552}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2578}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1021}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0408}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.1535}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.7361}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1688}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0807}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1440}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.2602}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.4792}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}
 
Warning: f182010 has 839 values < 0. Used in calculations
 
Distributional summary statistics, 5 quantile groups

{hline 10}{c TT}{hline 64}
Quantile  {c |}
group     {c |}    Quantile  % of median     Share, %      L(p), %        GL(p)
{hline 10}{c +}{hline 64}
        1 {c |}      {res}-1.601     2168.546    2.279e+10    2.279e+10       -0.521
        {txt}2 {c |}      {res}-0.720      974.796    7.315e+09    3.010e+10       -0.688
        {txt}3 {c |}       {res}0.300     -406.503    1.128e+09    3.123e+10       -0.713
        {txt}4 {c |}       {res}1.576    -2134.170   -8.798e+09    2.243e+10       -0.512
        {txt}5 {c |}            {res}                -2.243e+10      100.000       -0.000
{txt}{hline 10}{c BT}{hline 64}
Share = quantile group share of total f182010; 
L(p)=cumulative group share; GL(p)=L(p)*mean(f182010)
(1,506 real changes made)
(1,506 real changes made)
Now calculating 8_2012

Principal components/correlation{col 50}Number of obs    = {res}     1,505
{col 50}{txt}Number of comp.  = {res}        11
{col 50}{txt}Trace            {col 67}=  {res}       11
{col 5}{txt}Rotation: (unrotated = principal){col 50}Rho              = {res}    1.0000

{txt}{col 5}{hline 13}{c TT}{hline 60}
{col 5}   Component {c |}   Eigenvalue   Difference         Proportion   Cumulative
{col 5}{hline 13}{c +}{hline 60}
{col 5}{ralign 12:Comp1} {c |}{res}      3.09869      1.83665             0.2817       0.2817
{txt}{col 5}{ralign 12:Comp2} {c |}{res}      1.26204      .135466             0.1147       0.3964
{txt}{col 5}{ralign 12:Comp3} {c |}{res}      1.12658      .161788             0.1024       0.4988
{txt}{col 5}{ralign 12:Comp4} {c |}{res}       .96479     .0805448             0.0877       0.5866
{txt}{col 5}{ralign 12:Comp5} {c |}{res}      .884246      .102731             0.0804       0.6669
{txt}{col 5}{ralign 12:Comp6} {c |}{res}      .781514     .0704085             0.0710       0.7380
{txt}{col 5}{ralign 12:Comp7} {c |}{res}      .711106      .101306             0.0646       0.8026
{txt}{col 5}{ralign 12:Comp8} {c |}{res}        .6098      .069007             0.0554       0.8581
{txt}{col 5}{ralign 12:Comp9} {c |}{res}      .540793     .0273028             0.0492       0.9072
{txt}{col 5}{ralign 12:Comp10} {c |}{res}       .51349    .00654516             0.0467       0.9539
{txt}{col 5}{ralign 12:Comp11} {c |}{res}      .506945            .             0.0461       1.0000
{txt}{col 5}{hline 13}{c BT}{hline 60}

Principal components (eigenvectors) 

{space 4}{hline 13}{c  TT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp1}{space 1}{space 1}{ralign 8:Comp2}{space 1}{space 1}{ralign 8:Comp3}{space 1}{space 1}{ralign 8:Comp4}{space 1}{space 1}{ralign 8:Comp5}{space 1}{space 1}{ralign 8:Comp6}{space 1}{space 1}{ralign 8:Comp7}{space 1}{space 1}{ralign 8:Comp8}{space 1}{space 1}{ralign 8:Comp9}{space 1}{space 1}{ralign 8:Comp10}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1977}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3753}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2862}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3477}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4875}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4237}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4424}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0571}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0166}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0177}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3187}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1177}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2445}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0544}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4415}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1497}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.6748}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2618}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1744}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1819}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3410}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0571}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2322}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2429}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2494}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4005}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4231}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4315}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4043}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0114}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1520}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1561}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5363}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4524}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4881}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4252}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0657}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1353}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1273}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0215}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2872}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3841}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1506}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3235}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1921}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4680}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1366}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5199}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0716}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0789}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3895}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2334}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0976}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0300}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1671}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1565}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1476}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5119}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2422}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5320}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3769}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3308}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1011}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1465}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1207}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1721}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0112}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3419}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0493}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2409}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1248}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0452}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5561}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.6634}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2237}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3669}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0520}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0481}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2061}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0311}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2876}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4801}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3297}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0373}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2192}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0743}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1719}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2259}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3553}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4658}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2943}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4945}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2374}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1376}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2838}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1061}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0394}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1145}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2983}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5715}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3985}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1708}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0046}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1585}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0952}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1796}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3021}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0896}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.6825}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2723}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}

{space 4}{hline 13}{c  TT}{hline 10}{c  TT}{hline 13}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp11}{space 1}{c |}{space 1}{ralign 11:Unexplained}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{c   +}{hline 13}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0204}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.1312}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.1269}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0435}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2940}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3248}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.7037}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0007}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3151}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.2676}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3262}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{c  BT}{hline 13}
{txt}({bf:score} assumed)
(10 components skipped)

Scoring coefficients 
{col 5}sum of squares(column-loading) = 1

{space 4}{hline 13}{c  TT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp1}{space 1}{space 1}{ralign 8:Comp2}{space 1}{space 1}{ralign 8:Comp3}{space 1}{space 1}{ralign 8:Comp4}{space 1}{space 1}{ralign 8:Comp5}{space 1}{space 1}{ralign 8:Comp6}{space 1}{space 1}{ralign 8:Comp7}{space 1}{space 1}{ralign 8:Comp8}{space 1}{space 1}{ralign 8:Comp9}{space 1}{space 1}{ralign 8:Comp10}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1977}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3753}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2862}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3477}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4875}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4237}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4424}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0571}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0166}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0177}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3187}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1177}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2445}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0544}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4415}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1497}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.6748}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2618}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1744}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1819}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3410}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0571}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2322}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2429}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2494}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4005}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4231}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4315}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4043}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0114}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1520}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1561}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5363}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4524}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4881}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4252}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0657}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1353}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1273}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0215}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2872}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3841}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1506}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3235}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1921}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4680}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1366}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5199}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0716}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0789}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3895}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2334}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0976}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0300}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1671}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1565}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1476}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5119}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2422}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5320}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3769}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3308}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1011}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1465}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1207}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1721}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0112}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3419}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0493}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2409}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1248}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0452}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5561}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.6634}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2237}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3669}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0520}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0481}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2061}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0311}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2876}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4801}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3297}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0373}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2192}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0743}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1719}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2259}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3553}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4658}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2943}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4945}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2374}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1376}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2838}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1061}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0394}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1145}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2983}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5715}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3985}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1708}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0046}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1585}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0952}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1796}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3021}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0896}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.6825}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2723}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}

{space 4}{hline 13}{c  TT}{hline 10}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp11}{space 1}
{space 4}{hline 13}{c   +}{hline 10}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0204}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.1312}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.1269}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0435}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2940}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3248}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.7037}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0007}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3151}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.2676}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3262}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}
 
Warning: f182012 has 765 values < 0. Used in calculations
 
Distributional summary statistics, 5 quantile groups

{hline 10}{c TT}{hline 64}
Quantile  {c |}
group     {c |}    Quantile  % of median     Share, %      L(p), %        GL(p)
{hline 10}{c +}{hline 64}
        1 {c |}      {res}-1.311    27755.096   -1.045e+10   -1.045e+10       -0.515
        {txt}2 {c |}      {res}-0.349     7396.279   -3.735e+09   -1.418e+10       -0.699
        {txt}3 {c |}       {res}0.503   -10654.179    2.773e+08   -1.391e+10       -0.685
        {txt}4 {c |}       {res}1.636   -34652.426    4.428e+09   -9.477e+09       -0.467
        {txt}5 {c |}            {res}                 9.477e+09      100.000        0.000
{txt}{hline 10}{c BT}{hline 64}
Share = quantile group share of total f182012; 
L(p)=cumulative group share; GL(p)=L(p)*mean(f182012)
(1,505 real changes made)
(1,505 real changes made)
Now calculating 8_2014

Principal components/correlation{col 50}Number of obs    = {res}     1,483
{col 50}{txt}Number of comp.  = {res}        11
{col 50}{txt}Trace            {col 67}=  {res}       11
{col 5}{txt}Rotation: (unrotated = principal){col 50}Rho              = {res}    1.0000

{txt}{col 5}{hline 13}{c TT}{hline 60}
{col 5}   Component {c |}   Eigenvalue   Difference         Proportion   Cumulative
{col 5}{hline 13}{c +}{hline 60}
{col 5}{ralign 12:Comp1} {c |}{res}      2.94152      1.73083             0.2674       0.2674
{txt}{col 5}{ralign 12:Comp2} {c |}{res}      1.21069     .0364273             0.1101       0.3775
{txt}{col 5}{ralign 12:Comp3} {c |}{res}      1.17426      .200808             0.1068       0.4842
{txt}{col 5}{ralign 12:Comp4} {c |}{res}      .973452     .0125137             0.0885       0.5727
{txt}{col 5}{ralign 12:Comp5} {c |}{res}      .960938      .191809             0.0874       0.6601
{txt}{col 5}{ralign 12:Comp6} {c |}{res}      .769129     .0599206             0.0699       0.7300
{txt}{col 5}{ralign 12:Comp7} {c |}{res}      .709208     .0777325             0.0645       0.7945
{txt}{col 5}{ralign 12:Comp8} {c |}{res}      .631476     .0386809             0.0574       0.8519
{txt}{col 5}{ralign 12:Comp9} {c |}{res}      .592795      .023828             0.0539       0.9058
{txt}{col 5}{ralign 12:Comp10} {c |}{res}      .568967      .101399             0.0517       0.9575
{txt}{col 5}{ralign 12:Comp11} {c |}{res}      .467568            .             0.0425       1.0000
{txt}{col 5}{hline 13}{c BT}{hline 60}

Principal components (eigenvectors) 

{space 4}{hline 13}{c  TT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp1}{space 1}{space 1}{ralign 8:Comp2}{space 1}{space 1}{ralign 8:Comp3}{space 1}{space 1}{ralign 8:Comp4}{space 1}{space 1}{ralign 8:Comp5}{space 1}{space 1}{ralign 8:Comp6}{space 1}{space 1}{ralign 8:Comp7}{space 1}{space 1}{ralign 8:Comp8}{space 1}{space 1}{ralign 8:Comp9}{space 1}{space 1}{ralign 8:Comp10}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1560}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4664}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1923}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3856}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4911}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5140}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0902}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2063}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0917}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0739}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2982}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2244}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0982}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5149}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0813}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5357}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2654}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2738}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0624}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3772}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3743}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2874}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1206}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1783}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1107}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2063}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5131}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2579}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1079}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1755}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0862}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5248}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2348}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6043}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2964}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2365}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2285}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2655}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0548}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0982}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3092}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1736}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3027}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3006}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2566}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0749}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6879}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1956}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2238}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1389}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3959}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1397}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0969}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0730}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0739}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3828}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0952}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4414}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1813}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5940}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3812}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0918}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2980}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1685}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1553}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0534}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0178}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3494}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5013}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4987}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1393}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4693}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1961}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1302}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.6978}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3542}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0960}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0637}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0965}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1692}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2498}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2566}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5747}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2110}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0957}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0490}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0438}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4595}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4680}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2299}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2718}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1728}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5552}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0134}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2200}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2534}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1779}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3240}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5474}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1968}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.4310}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0041}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1299}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0594}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1108}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0575}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2840}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2649}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3329}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2661}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}

{space 4}{hline 13}{c  TT}{hline 10}{c  TT}{hline 13}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp11}{space 1}{c |}{space 1}{ralign 11:Unexplained}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{c   +}{hline 13}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0504}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0271}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.5512}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1334}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2001}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2598}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.2824}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2034}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0191}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0157}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.6677}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{c  BT}{hline 13}
{txt}({bf:score} assumed)
(10 components skipped)

Scoring coefficients 
{col 5}sum of squares(column-loading) = 1

{space 4}{hline 13}{c  TT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp1}{space 1}{space 1}{ralign 8:Comp2}{space 1}{space 1}{ralign 8:Comp3}{space 1}{space 1}{ralign 8:Comp4}{space 1}{space 1}{ralign 8:Comp5}{space 1}{space 1}{ralign 8:Comp6}{space 1}{space 1}{ralign 8:Comp7}{space 1}{space 1}{ralign 8:Comp8}{space 1}{space 1}{ralign 8:Comp9}{space 1}{space 1}{ralign 8:Comp10}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1560}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4664}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1923}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3856}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4911}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5140}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0902}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2063}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0917}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0739}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2982}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2244}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0982}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5149}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0813}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5357}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2654}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2738}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0624}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3772}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3743}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2874}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1206}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1783}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1107}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2063}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5131}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2579}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1079}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1755}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0862}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5248}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2348}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6043}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2964}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2365}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2285}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2655}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0548}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0982}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3092}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1736}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3027}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3006}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2566}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0749}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6879}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1956}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2238}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1389}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3959}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1397}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0969}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0730}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0739}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3828}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0952}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4414}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1813}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5940}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3812}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0918}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2980}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1685}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1553}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0534}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0178}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3494}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5013}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4987}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1393}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4693}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1961}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1302}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.6978}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3542}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0960}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0637}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0965}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1692}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2498}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2566}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5747}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2110}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0957}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0490}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0438}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4595}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4680}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2299}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2718}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1728}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5552}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0134}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2200}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2534}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1779}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3240}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5474}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1968}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.4310}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0041}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1299}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0594}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1108}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0575}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2840}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2649}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3329}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2661}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}

{space 4}{hline 13}{c  TT}{hline 10}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp11}{space 1}
{space 4}{hline 13}{c   +}{hline 10}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0504}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0271}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.5512}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1334}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2001}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2598}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.2824}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2034}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0191}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0157}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.6677}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}
 
Warning: f182014 has 759 values < 0. Used in calculations
 
Distributional summary statistics, 5 quantile groups

{hline 10}{c TT}{hline 64}
Quantile  {c |}
group     {c |}    Quantile  % of median     Share, %      L(p), %        GL(p)
{hline 10}{c +}{hline 64}
        1 {c |}      {res}-1.326     1046.521   -9.070e+09   -9.070e+09       -0.481
        {txt}2 {c |}      {res}-0.476      375.512   -4.146e+09   -1.322e+10       -0.700
        {txt}3 {c |}       {res}0.412     -325.083    2.282e+08   -1.299e+10       -0.688
        {txt}4 {c |}       {res}1.575    -1242.635    4.221e+09   -8.766e+09       -0.464
        {txt}5 {c |}            {res}                 8.766e+09      100.000        0.000
{txt}{hline 10}{c BT}{hline 64}
Share = quantile group share of total f182014; 
L(p)=cumulative group share; GL(p)=L(p)*mean(f182014)
(1,483 real changes made)
(1,483 real changes made)
Now calculating 8_2016

Principal components/correlation{col 50}Number of obs    = {res}     1,539
{col 50}{txt}Number of comp.  = {res}        11
{col 50}{txt}Trace            {col 67}=  {res}       11
{col 5}{txt}Rotation: (unrotated = principal){col 50}Rho              = {res}    1.0000

{txt}{col 5}{hline 13}{c TT}{hline 60}
{col 5}   Component {c |}   Eigenvalue   Difference         Proportion   Cumulative
{col 5}{hline 13}{c +}{hline 60}
{col 5}{ralign 12:Comp1} {c |}{res}      3.01504      1.83345             0.2741       0.2741
{txt}{col 5}{ralign 12:Comp2} {c |}{res}      1.18159     .0956128             0.1074       0.3815
{txt}{col 5}{ralign 12:Comp3} {c |}{res}      1.08598      .105736             0.0987       0.4802
{txt}{col 5}{ralign 12:Comp4} {c |}{res}       .98024      .106432             0.0891       0.5693
{txt}{col 5}{ralign 12:Comp5} {c |}{res}      .873808     .0646898             0.0794       0.6488
{txt}{col 5}{ralign 12:Comp6} {c |}{res}      .809118      .116418             0.0736       0.7223
{txt}{col 5}{ralign 12:Comp7} {c |}{res}      .692699     .0405397             0.0630       0.7853
{txt}{col 5}{ralign 12:Comp8} {c |}{res}       .65216     .0331075             0.0593       0.8446
{txt}{col 5}{ralign 12:Comp9} {c |}{res}      .619052     .0416776             0.0563       0.9009
{txt}{col 5}{ralign 12:Comp10} {c |}{res}      .577375     .0644315             0.0525       0.9534
{txt}{col 5}{ralign 12:Comp11} {c |}{res}      .512943            .             0.0466       1.0000
{txt}{col 5}{hline 13}{c BT}{hline 60}

Principal components (eigenvectors) 

{space 4}{hline 13}{c  TT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp1}{space 1}{space 1}{ralign 8:Comp2}{space 1}{space 1}{ralign 8:Comp3}{space 1}{space 1}{ralign 8:Comp4}{space 1}{space 1}{ralign 8:Comp5}{space 1}{space 1}{ralign 8:Comp6}{space 1}{space 1}{ralign 8:Comp7}{space 1}{space 1}{ralign 8:Comp8}{space 1}{space 1}{ralign 8:Comp9}{space 1}{space 1}{ralign 8:Comp10}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1664}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4071}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4083}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3823}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2118}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6455}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0789}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0902}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0731}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1067}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3046}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2500}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1684}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2939}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3767}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4837}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3315}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1880}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1579}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3668}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3573}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2748}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1496}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1893}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1032}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0635}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5093}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3236}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4361}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1289}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1849}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2725}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4654}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1251}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.7545}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1557}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1238}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1276}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1242}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1319}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3101}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3718}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0222}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0147}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2064}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3656}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6773}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3122}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1244}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1278}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3897}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0508}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1326}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0775}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0473}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3809}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0842}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3802}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0053}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.6508}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3730}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3060}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0176}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0083}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0723}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0770}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0136}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4940}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4091}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5674}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1377}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0100}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3684}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.7936}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4202}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0731}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0201}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1207}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0131}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0396}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2477}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4144}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4665}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2599}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0655}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1734}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0890}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4141}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4979}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0749}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2775}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4321}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4388}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0878}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0489}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0268}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0097}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3979}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5515}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0565}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.4162}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1701}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0399}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0683}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0069}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0164}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3670}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0713}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1700}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2189}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}

{space 4}{hline 13}{c  TT}{hline 10}{c  TT}{hline 13}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp11}{space 1}{c |}{space 1}{ralign 11:Unexplained}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{c   +}{hline 13}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0331}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.2222}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3911}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0366}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0236}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3153}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1490}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1299}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.1200}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2590}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.7581}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{c  BT}{hline 13}
{txt}({bf:score} assumed)
(10 components skipped)

Scoring coefficients 
{col 5}sum of squares(column-loading) = 1

{space 4}{hline 13}{c  TT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp1}{space 1}{space 1}{ralign 8:Comp2}{space 1}{space 1}{ralign 8:Comp3}{space 1}{space 1}{ralign 8:Comp4}{space 1}{space 1}{ralign 8:Comp5}{space 1}{space 1}{ralign 8:Comp6}{space 1}{space 1}{ralign 8:Comp7}{space 1}{space 1}{ralign 8:Comp8}{space 1}{space 1}{ralign 8:Comp9}{space 1}{space 1}{ralign 8:Comp10}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1664}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4071}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4083}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3823}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2118}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6455}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0789}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0902}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0731}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1067}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3046}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2500}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1684}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2939}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3767}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4837}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3315}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1880}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1579}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3668}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3573}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2748}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1496}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1893}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1032}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0635}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5093}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3236}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4361}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1289}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1849}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2725}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4654}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1251}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.7545}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1557}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1238}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1276}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1242}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1319}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3101}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3718}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0222}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0147}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2064}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3656}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6773}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3122}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1244}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1278}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3897}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0508}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1326}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0775}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0473}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3809}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0842}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3802}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0053}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.6508}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3730}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3060}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0176}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0083}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0723}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0770}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0136}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4940}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4091}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5674}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1377}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0100}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3684}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.7936}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4202}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0731}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0201}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1207}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0131}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0396}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2477}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4144}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4665}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2599}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0655}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1734}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0890}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4141}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4979}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0749}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2775}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4321}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4388}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0878}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0489}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0268}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0097}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3979}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5515}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0565}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.4162}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1701}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0399}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0683}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0069}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0164}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3670}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0713}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1700}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2189}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}

{space 4}{hline 13}{c  TT}{hline 10}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp11}{space 1}
{space 4}{hline 13}{c   +}{hline 10}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0331}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.2222}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3911}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0366}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0236}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3153}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1490}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1299}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.1200}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2590}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.7581}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}
 
Warning: f182016 has 815 values < 0. Used in calculations
 
Distributional summary statistics, 5 quantile groups

{hline 10}{c TT}{hline 64}
Quantile  {c |}
group     {c |}    Quantile  % of median     Share, %      L(p), %        GL(p)
{hline 10}{c +}{hline 64}
        1 {c |}      {res}-1.273      933.930    7.987e+09    7.987e+09       -0.492
        {txt}2 {c |}      {res}-0.422      309.595    3.258e+09    1.124e+10       -0.692
        {txt}3 {c |}       {res}0.412     -302.040   -9.683e+07    1.115e+10       -0.686
        {txt}4 {c |}       {res}1.550    -1136.777   -3.712e+09    7.436e+09       -0.458
        {txt}5 {c |}            {res}                -7.436e+09      100.000       -0.000
{txt}{hline 10}{c BT}{hline 64}
Share = quantile group share of total f182016; 
L(p)=cumulative group share; GL(p)=L(p)*mean(f182016)
(1,539 real changes made)
(1,539 real changes made)
Now calculating 9_2006

Principal components/correlation{col 50}Number of obs    = {res}     2,925
{col 50}{txt}Number of comp.  = {res}        11
{col 50}{txt}Trace            {col 67}=  {res}       11
{col 5}{txt}Rotation: (unrotated = principal){col 50}Rho              = {res}    1.0000

{txt}{col 5}{hline 13}{c TT}{hline 60}
{col 5}   Component {c |}   Eigenvalue   Difference         Proportion   Cumulative
{col 5}{hline 13}{c +}{hline 60}
{col 5}{ralign 12:Comp1} {c |}{res}      3.21491      1.96431             0.2923       0.2923
{txt}{col 5}{ralign 12:Comp2} {c |}{res}      1.25061      .149735             0.1137       0.4060
{txt}{col 5}{ralign 12:Comp3} {c |}{res}      1.10087      .161947             0.1001       0.5060
{txt}{col 5}{ralign 12:Comp4} {c |}{res}      .938924      .157891             0.0854       0.5914
{txt}{col 5}{ralign 12:Comp5} {c |}{res}      .781033     .0263364             0.0710       0.6624
{txt}{col 5}{ralign 12:Comp6} {c |}{res}      .754696     .0628982             0.0686       0.7310
{txt}{col 5}{ralign 12:Comp7} {c |}{res}      .691798     .0294267             0.0629       0.7939
{txt}{col 5}{ralign 12:Comp8} {c |}{res}      .662372     .0539686             0.0602       0.8541
{txt}{col 5}{ralign 12:Comp9} {c |}{res}      .608403     .0596448             0.0553       0.9094
{txt}{col 5}{ralign 12:Comp10} {c |}{res}      .548758      .101132             0.0499       0.9593
{txt}{col 5}{ralign 12:Comp11} {c |}{res}      .447627            .             0.0407       1.0000
{txt}{col 5}{hline 13}{c BT}{hline 60}

Principal components (eigenvectors) 

{space 4}{hline 13}{c  TT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp1}{space 1}{space 1}{ralign 8:Comp2}{space 1}{space 1}{ralign 8:Comp3}{space 1}{space 1}{ralign 8:Comp4}{space 1}{space 1}{ralign 8:Comp5}{space 1}{space 1}{ralign 8:Comp6}{space 1}{space 1}{ralign 8:Comp7}{space 1}{space 1}{ralign 8:Comp8}{space 1}{space 1}{ralign 8:Comp9}{space 1}{space 1}{ralign 8:Comp10}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1407}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6298}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2555}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0327}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0494}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5554}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1720}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3031}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2861}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0505}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2529}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5262}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2559}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0471}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0685}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2351}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2240}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2922}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5832}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2299}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3534}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1188}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0412}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1776}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3813}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3043}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0692}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4777}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5146}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3004}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3015}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0392}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1523}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1701}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.8524}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1648}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1917}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1616}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1580}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1024}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3245}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2243}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2025}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1753}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1896}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1666}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6950}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3054}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3398}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1308}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3954}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2185}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0385}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0833}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0655}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2622}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3821}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0567}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1927}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3463}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3988}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2570}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0228}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1160}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0332}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2711}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3289}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0622}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0342}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1350}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1473}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1941}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3651}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.8374}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2796}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0543}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0031}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0816}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0732}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1108}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2040}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0798}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.6745}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2243}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0108}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3981}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3255}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3488}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2373}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0647}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2518}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2677}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4579}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3013}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0361}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4302}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1856}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5732}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0456}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1113}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3912}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1761}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0586}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2068}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0086}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0003}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0336}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1057}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2658}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.8122}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}

{space 4}{hline 13}{c  TT}{hline 10}{c  TT}{hline 13}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp11}{space 1}{c |}{space 1}{ralign 11:Unexplained}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{c   +}{hline 13}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0207}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0539}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0412}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0587}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0096}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.6389}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.7449}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0272}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0022}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0256}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.1644}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{c  BT}{hline 13}
{txt}({bf:score} assumed)
(10 components skipped)

Scoring coefficients 
{col 5}sum of squares(column-loading) = 1

{space 4}{hline 13}{c  TT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp1}{space 1}{space 1}{ralign 8:Comp2}{space 1}{space 1}{ralign 8:Comp3}{space 1}{space 1}{ralign 8:Comp4}{space 1}{space 1}{ralign 8:Comp5}{space 1}{space 1}{ralign 8:Comp6}{space 1}{space 1}{ralign 8:Comp7}{space 1}{space 1}{ralign 8:Comp8}{space 1}{space 1}{ralign 8:Comp9}{space 1}{space 1}{ralign 8:Comp10}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1407}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6298}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2555}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0327}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0494}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5554}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1720}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3031}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2861}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0505}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2529}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5262}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2559}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0471}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0685}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2351}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2240}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2922}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5832}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2299}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3534}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1188}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0412}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1776}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3813}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3043}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0692}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4777}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5146}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3004}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3015}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0392}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1523}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1701}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.8524}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1648}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1917}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1616}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1580}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1024}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3245}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2243}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2025}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1753}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1896}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1666}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6950}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3054}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3398}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1308}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3954}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2185}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0385}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0833}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0655}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2622}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3821}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0567}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1927}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3463}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3988}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2570}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0228}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1160}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0332}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2711}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3289}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0622}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0342}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1350}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1473}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1941}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3651}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.8374}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2796}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0543}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0031}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0816}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0732}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1108}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2040}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0798}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.6745}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2243}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0108}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3981}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3255}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3488}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2373}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0647}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2518}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2677}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4579}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3013}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0361}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4302}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1856}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5732}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0456}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1113}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3912}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1761}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0586}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2068}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0086}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0003}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0336}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1057}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2658}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.8122}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}

{space 4}{hline 13}{c  TT}{hline 10}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp11}{space 1}
{space 4}{hline 13}{c   +}{hline 10}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0207}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0539}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0412}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0587}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0096}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.6389}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.7449}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0272}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0022}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0256}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.1644}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}
 
Warning: f192006 has 1631 values < 0. Used in calculations
 
Distributional summary statistics, 5 quantile groups

{hline 10}{c TT}{hline 64}
Quantile  {c |}
group     {c |}    Quantile  % of median     Share, %      L(p), %        GL(p)
{hline 10}{c +}{hline 64}
        1 {c |}      {res}-1.608      331.956   -1.312e+10   -1.312e+10       -0.438
        {txt}2 {c |}      {res}-0.581      119.955   -7.148e+09   -2.027e+10       -0.676
        {txt}3 {c |}       {res}0.126      -25.906   -1.168e+09   -2.143e+10       -0.715
        {txt}4 {c |}       {res}1.645     -339.468    4.315e+09   -1.712e+10       -0.571
        {txt}5 {c |}            {res}                 1.712e+10      100.000        0.000
{txt}{hline 10}{c BT}{hline 64}
Share = quantile group share of total f192006; 
L(p)=cumulative group share; GL(p)=L(p)*mean(f192006)
(2,925 real changes made)
(2,925 real changes made)
Now calculating 9_2008

Principal components/correlation{col 50}Number of obs    = {res}     3,000
{col 50}{txt}Number of comp.  = {res}        11
{col 50}{txt}Trace            {col 67}=  {res}       11
{col 5}{txt}Rotation: (unrotated = principal){col 50}Rho              = {res}    1.0000

{txt}{col 5}{hline 13}{c TT}{hline 60}
{col 5}   Component {c |}   Eigenvalue   Difference         Proportion   Cumulative
{col 5}{hline 13}{c +}{hline 60}
{col 5}{ralign 12:Comp1} {c |}{res}      3.45021      2.17367             0.3137       0.3137
{txt}{col 5}{ralign 12:Comp2} {c |}{res}      1.27654      .180524             0.1160       0.4297
{txt}{col 5}{ralign 12:Comp3} {c |}{res}      1.09602      .187345             0.0996       0.5293
{txt}{col 5}{ralign 12:Comp4} {c |}{res}       .90867     .0710084             0.0826       0.6119
{txt}{col 5}{ralign 12:Comp5} {c |}{res}      .837662      .142739             0.0762       0.6881
{txt}{col 5}{ralign 12:Comp6} {c |}{res}      .694923     .0454607             0.0632       0.7513
{txt}{col 5}{ralign 12:Comp7} {c |}{res}      .649462     .0539653             0.0590       0.8103
{txt}{col 5}{ralign 12:Comp8} {c |}{res}      .595497     .0476875             0.0541       0.8645
{txt}{col 5}{ralign 12:Comp9} {c |}{res}      .547809     .0608203             0.0498       0.9143
{txt}{col 5}{ralign 12:Comp10} {c |}{res}      .486989     .0307647             0.0443       0.9585
{txt}{col 5}{ralign 12:Comp11} {c |}{res}      .456224            .             0.0415       1.0000
{txt}{col 5}{hline 13}{c BT}{hline 60}

Principal components (eigenvectors) 

{space 4}{hline 13}{c  TT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp1}{space 1}{space 1}{ralign 8:Comp2}{space 1}{space 1}{ralign 8:Comp3}{space 1}{space 1}{ralign 8:Comp4}{space 1}{space 1}{ralign 8:Comp5}{space 1}{space 1}{ralign 8:Comp6}{space 1}{space 1}{ralign 8:Comp7}{space 1}{space 1}{ralign 8:Comp8}{space 1}{space 1}{ralign 8:Comp9}{space 1}{space 1}{ralign 8:Comp10}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1606}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4102}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6170}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0457}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0695}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3484}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4751}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2610}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0309}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0069}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2720}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3587}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3872}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0780}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2467}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2037}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5180}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4692}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1473}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1216}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3502}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0916}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1301}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2340}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3060}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3152}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2063}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5708}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4775}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0777}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2568}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0050}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2498}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2440}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.8249}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1984}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1724}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0920}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1894}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0978}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2873}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2457}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0666}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4692}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1499}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6988}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2747}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1242}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1733}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0013}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3679}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2569}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0408}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0149}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0660}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2322}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3827}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4559}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3533}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0635}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3828}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2816}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0245}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0009}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1210}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1015}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3507}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1310}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1786}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2789}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1950}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3427}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1533}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.7324}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3221}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2953}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2530}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1461}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0369}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0090}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2615}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4105}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4698}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2712}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0778}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1602}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1548}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0856}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1352}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5844}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3162}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3896}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3731}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1281}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0328}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1167}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0267}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0408}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2836}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.6267}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3752}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2266}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0038}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1753}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0886}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1389}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0060}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3266}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.6532}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3916}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}

{space 4}{hline 13}{c  TT}{hline 10}{c  TT}{hline 13}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp11}{space 1}{c |}{space 1}{ralign 11:Unexplained}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{c   +}{hline 13}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0464}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.1184}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0425}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0925}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0272}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.5054}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.7062}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0831}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.2145}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3200}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2515}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{c  BT}{hline 13}
{txt}({bf:score} assumed)
(10 components skipped)

Scoring coefficients 
{col 5}sum of squares(column-loading) = 1

{space 4}{hline 13}{c  TT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp1}{space 1}{space 1}{ralign 8:Comp2}{space 1}{space 1}{ralign 8:Comp3}{space 1}{space 1}{ralign 8:Comp4}{space 1}{space 1}{ralign 8:Comp5}{space 1}{space 1}{ralign 8:Comp6}{space 1}{space 1}{ralign 8:Comp7}{space 1}{space 1}{ralign 8:Comp8}{space 1}{space 1}{ralign 8:Comp9}{space 1}{space 1}{ralign 8:Comp10}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1606}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4102}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6170}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0457}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0695}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3484}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4751}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2610}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0309}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0069}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2720}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3587}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3872}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0780}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2467}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2037}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5180}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4692}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1473}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1216}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3502}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0916}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1301}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2340}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3060}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3152}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2063}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5708}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4775}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0777}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2568}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0050}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2498}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2440}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.8249}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1984}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1724}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0920}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1894}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0978}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2873}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2457}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0666}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4692}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1499}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6988}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2747}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1242}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1733}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0013}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3679}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2569}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0408}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0149}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0660}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2322}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3827}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4559}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3533}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0635}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3828}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2816}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0245}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0009}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1210}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1015}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3507}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1310}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1786}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2789}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1950}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3427}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1533}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.7324}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3221}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2953}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2530}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1461}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0369}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0090}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2615}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4105}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4698}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2712}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0778}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1602}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1548}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0856}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1352}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5844}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3162}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3896}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3731}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1281}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0328}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1167}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0267}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0408}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2836}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.6267}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3752}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2266}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0038}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1753}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0886}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1389}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0060}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3266}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.6532}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3916}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}

{space 4}{hline 13}{c  TT}{hline 10}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp11}{space 1}
{space 4}{hline 13}{c   +}{hline 10}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0464}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.1184}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0425}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0925}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0272}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.5054}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.7062}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0831}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.2145}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3200}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2515}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}
 
Warning: f192008 has 1571 values < 0. Used in calculations
 
Distributional summary statistics, 5 quantile groups

{hline 10}{c TT}{hline 64}
Quantile  {c |}
group     {c |}    Quantile  % of median     Share, %      L(p), %        GL(p)
{hline 10}{c +}{hline 64}
        1 {c |}      {res}-1.807      457.749   -4.135e+10   -4.135e+10       -0.491
        {txt}2 {c |}      {res}-0.559      141.596   -1.982e+10   -6.117e+10       -0.726
        {txt}3 {c |}       {res}0.234      -59.257   -1.875e+09   -6.305e+10       -0.748
        {txt}4 {c |}       {res}1.792     -453.831    1.670e+10   -4.634e+10       -0.550
        {txt}5 {c |}            {res}                 4.634e+10      100.000        0.000
{txt}{hline 10}{c BT}{hline 64}
Share = quantile group share of total f192008; 
L(p)=cumulative group share; GL(p)=L(p)*mean(f192008)
(3,000 real changes made)
(3,000 real changes made)
Now calculating 9_2010

Principal components/correlation{col 50}Number of obs    = {res}     3,000
{col 50}{txt}Number of comp.  = {res}        11
{col 50}{txt}Trace            {col 67}=  {res}       11
{col 5}{txt}Rotation: (unrotated = principal){col 50}Rho              = {res}    1.0000

{txt}{col 5}{hline 13}{c TT}{hline 60}
{col 5}   Component {c |}   Eigenvalue   Difference         Proportion   Cumulative
{col 5}{hline 13}{c +}{hline 60}
{col 5}{ralign 12:Comp1} {c |}{res}      3.15005      1.93138             0.2864       0.2864
{txt}{col 5}{ralign 12:Comp2} {c |}{res}      1.21866     .0802955             0.1108       0.3972
{txt}{col 5}{ralign 12:Comp3} {c |}{res}      1.13837      .153893             0.1035       0.5006
{txt}{col 5}{ralign 12:Comp4} {c |}{res}      .984474      .124643             0.0895       0.5901
{txt}{col 5}{ralign 12:Comp5} {c |}{res}      .859831      .117925             0.0782       0.6683
{txt}{col 5}{ralign 12:Comp6} {c |}{res}      .741906     .0172731             0.0674       0.7358
{txt}{col 5}{ralign 12:Comp7} {c |}{res}      .724633      .100839             0.0659       0.8016
{txt}{col 5}{ralign 12:Comp8} {c |}{res}      .623794      .083679             0.0567       0.8583
{txt}{col 5}{ralign 12:Comp9} {c |}{res}      .540115     .0301904             0.0491       0.9074
{txt}{col 5}{ralign 12:Comp10} {c |}{res}      .509925    .00168258             0.0464       0.9538
{txt}{col 5}{ralign 12:Comp11} {c |}{res}      .508242            .             0.0462       1.0000
{txt}{col 5}{hline 13}{c BT}{hline 60}

Principal components (eigenvectors) 

{space 4}{hline 13}{c  TT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp1}{space 1}{space 1}{ralign 8:Comp2}{space 1}{space 1}{ralign 8:Comp3}{space 1}{space 1}{ralign 8:Comp4}{space 1}{space 1}{ralign 8:Comp5}{space 1}{space 1}{ralign 8:Comp6}{space 1}{space 1}{ralign 8:Comp7}{space 1}{space 1}{ralign 8:Comp8}{space 1}{space 1}{ralign 8:Comp9}{space 1}{space 1}{ralign 8:Comp10}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1538}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0278}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6566}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3455}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1452}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6202}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1109}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0330}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0538}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0156}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2923}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0547}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3727}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2644}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2096}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.6438}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2868}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3095}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2466}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0702}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3502}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1573}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1521}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3288}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3225}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1389}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0351}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5833}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3211}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3885}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2008}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3694}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3641}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0776}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.7111}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2331}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0800}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2855}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1374}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1336}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3031}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2422}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2507}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1981}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0307}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0983}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.7811}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3528}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0406}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0062}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3912}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1323}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1533}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1177}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0426}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1621}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3290}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3890}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4315}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0179}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3808}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1711}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2474}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0031}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1010}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2668}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3399}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1635}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1664}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3037}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0719}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4649}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2368}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6152}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5465}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0659}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0796}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1045}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0946}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0325}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2628}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5077}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0978}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4669}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0918}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0353}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1839}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0384}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4071}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4279}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3269}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4824}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1271}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2160}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0732}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0024}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1254}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0110}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4307}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4974}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3962}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1514}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2118}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0192}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0021}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1203}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0890}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4077}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4884}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5494}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}

{space 4}{hline 13}{c  TT}{hline 10}{c  TT}{hline 13}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp11}{space 1}{c |}{space 1}{ralign 11:Unexplained}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{c   +}{hline 13}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0526}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0225}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0504}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0043}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0197}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.5638}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.6488}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1177}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.2277}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3787}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.2142}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{c  BT}{hline 13}
{txt}({bf:score} assumed)
(10 components skipped)

Scoring coefficients 
{col 5}sum of squares(column-loading) = 1

{space 4}{hline 13}{c  TT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp1}{space 1}{space 1}{ralign 8:Comp2}{space 1}{space 1}{ralign 8:Comp3}{space 1}{space 1}{ralign 8:Comp4}{space 1}{space 1}{ralign 8:Comp5}{space 1}{space 1}{ralign 8:Comp6}{space 1}{space 1}{ralign 8:Comp7}{space 1}{space 1}{ralign 8:Comp8}{space 1}{space 1}{ralign 8:Comp9}{space 1}{space 1}{ralign 8:Comp10}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1538}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0278}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6566}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3455}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1452}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6202}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1109}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0330}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0538}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0156}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2923}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0547}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3727}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2644}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2096}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.6438}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2868}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3095}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2466}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0702}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3502}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1573}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1521}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3288}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3225}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1389}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0351}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5833}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3211}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3885}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2008}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3694}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3641}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0776}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.7111}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2331}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0800}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2855}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1374}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1336}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3031}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2422}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2507}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1981}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0307}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0983}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.7811}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3528}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0406}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0062}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3912}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1323}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1533}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1177}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0426}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1621}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3290}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3890}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4315}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0179}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3808}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1711}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2474}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0031}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1010}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2668}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3399}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1635}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1664}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3037}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0719}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4649}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2368}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6152}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5465}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0659}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0796}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1045}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0946}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0325}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2628}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5077}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0978}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4669}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0918}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0353}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1839}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0384}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4071}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4279}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3269}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4824}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1271}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2160}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0732}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0024}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1254}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0110}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4307}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4974}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3962}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1514}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2118}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0192}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0021}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1203}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0890}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4077}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4884}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5494}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}

{space 4}{hline 13}{c  TT}{hline 10}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp11}{space 1}
{space 4}{hline 13}{c   +}{hline 10}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0526}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0225}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0504}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0043}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0197}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.5638}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.6488}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1177}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.2277}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3787}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.2142}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}
 
Warning: f192010 has 1500 values < 0. Used in calculations
 
Distributional summary statistics, 5 quantile groups

{hline 10}{c TT}{hline 64}
Quantile  {c |}
group     {c |}    Quantile  % of median     Share, %      L(p), %        GL(p)
{hline 10}{c +}{hline 64}
        1 {c |}      {res}-1.441   385980.655   -6.593e+11   -6.593e+11       -0.508
        {txt}2 {c |}      {res}-0.690   184954.479   -2.304e+11   -8.897e+11       -0.685
        {txt}3 {c |}       {res}0.210   -56221.072   -4.491e+10   -9.346e+11       -0.720
        {txt}4 {c |}       {res}1.717   -4.601e+05    2.533e+11   -6.813e+11       -0.525
        {txt}5 {c |}            {res}                 6.813e+11       99.997        0.000
{txt}{hline 10}{c BT}{hline 64}
Share = quantile group share of total f192010; 
L(p)=cumulative group share; GL(p)=L(p)*mean(f192010)
(3,000 real changes made)
(3,000 real changes made)
Now calculating 9_2012

Principal components/correlation{col 50}Number of obs    = {res}     1,500
{col 50}{txt}Number of comp.  = {res}        11
{col 50}{txt}Trace            {col 67}=  {res}       11
{col 5}{txt}Rotation: (unrotated = principal){col 50}Rho              = {res}    1.0000

{txt}{col 5}{hline 13}{c TT}{hline 60}
{col 5}   Component {c |}   Eigenvalue   Difference         Proportion   Cumulative
{col 5}{hline 13}{c +}{hline 60}
{col 5}{ralign 12:Comp1} {c |}{res}      3.29367      2.12055             0.2994       0.2994
{txt}{col 5}{ralign 12:Comp2} {c |}{res}      1.17311      .048579             0.1066       0.4061
{txt}{col 5}{ralign 12:Comp3} {c |}{res}      1.12453      .153662             0.1022       0.5083
{txt}{col 5}{ralign 12:Comp4} {c |}{res}       .97087      .100183             0.0883       0.5966
{txt}{col 5}{ralign 12:Comp5} {c |}{res}      .870687      .127441             0.0792       0.6757
{txt}{col 5}{ralign 12:Comp6} {c |}{res}      .743246     .0625115             0.0676       0.7433
{txt}{col 5}{ralign 12:Comp7} {c |}{res}      .680734      .054202             0.0619       0.8052
{txt}{col 5}{ralign 12:Comp8} {c |}{res}      .626532     .0909749             0.0570       0.8621
{txt}{col 5}{ralign 12:Comp9} {c |}{res}      .535557     .0259862             0.0487       0.9108
{txt}{col 5}{ralign 12:Comp10} {c |}{res}      .509571      .038078             0.0463       0.9571
{txt}{col 5}{ralign 12:Comp11} {c |}{res}      .471493            .             0.0429       1.0000
{txt}{col 5}{hline 13}{c BT}{hline 60}

Principal components (eigenvectors) 

{space 4}{hline 13}{c  TT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp1}{space 1}{space 1}{ralign 8:Comp2}{space 1}{space 1}{ralign 8:Comp3}{space 1}{space 1}{ralign 8:Comp4}{space 1}{space 1}{ralign 8:Comp5}{space 1}{space 1}{ralign 8:Comp6}{space 1}{space 1}{ralign 8:Comp7}{space 1}{space 1}{ralign 8:Comp8}{space 1}{space 1}{ralign 8:Comp9}{space 1}{space 1}{ralign 8:Comp10}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1773}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6213}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2093}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1128}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3437}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2204}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5876}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0935}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0000}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0377}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2667}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5277}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0679}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0507}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1947}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2446}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.6195}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3063}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1516}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1081}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3593}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1561}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1893}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0022}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3409}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0923}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3003}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5190}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4546}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1621}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2356}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3337}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0805}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2268}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.7691}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2378}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1239}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2093}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1833}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0803}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2758}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2411}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2834}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2773}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2551}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6983}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1310}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3526}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1138}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0222}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3631}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0337}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2955}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1069}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1200}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4043}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2719}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2624}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3230}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5108}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3684}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1336}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3182}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0790}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0615}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3561}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2362}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0882}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1223}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6051}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0701}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2150}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4236}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.8422}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0217}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1810}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0223}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0162}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1563}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0128}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3128}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1982}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5098}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2434}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1406}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0630}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1325}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0918}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2640}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4315}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3376}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1474}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4109}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2643}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1810}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0753}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0199}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3435}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3664}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3596}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3905}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1248}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1794}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0158}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0002}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0790}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0048}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5066}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.6134}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1046}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}

{space 4}{hline 13}{c  TT}{hline 10}{c  TT}{hline 13}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp11}{space 1}{c |}{space 1}{ralign 11:Unexplained}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{c   +}{hline 13}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0618}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.1824}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3057}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1675}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0311}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.2870}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.4046}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0391}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.4880}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.4531}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.3865}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{c  BT}{hline 13}
{txt}({bf:score} assumed)
(10 components skipped)

Scoring coefficients 
{col 5}sum of squares(column-loading) = 1

{space 4}{hline 13}{c  TT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp1}{space 1}{space 1}{ralign 8:Comp2}{space 1}{space 1}{ralign 8:Comp3}{space 1}{space 1}{ralign 8:Comp4}{space 1}{space 1}{ralign 8:Comp5}{space 1}{space 1}{ralign 8:Comp6}{space 1}{space 1}{ralign 8:Comp7}{space 1}{space 1}{ralign 8:Comp8}{space 1}{space 1}{ralign 8:Comp9}{space 1}{space 1}{ralign 8:Comp10}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1773}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6213}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2093}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1128}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3437}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2204}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5876}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0935}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0000}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0377}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2667}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5277}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0679}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0507}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1947}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2446}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.6195}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3063}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1516}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1081}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3593}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1561}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1893}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0022}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3409}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0923}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3003}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5190}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4546}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1621}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2356}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3337}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0805}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2268}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.7691}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2378}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1239}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2093}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1833}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0803}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2758}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2411}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2834}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2773}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2551}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6983}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1310}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3526}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1138}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0222}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3631}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0337}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2955}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1069}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1200}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4043}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2719}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2624}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3230}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5108}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3684}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1336}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3182}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0790}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0615}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3561}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2362}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0882}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1223}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6051}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0701}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2150}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4236}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.8422}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0217}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1810}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0223}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0162}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1563}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0128}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3128}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1982}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5098}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2434}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1406}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0630}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1325}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0918}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2640}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4315}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3376}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1474}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4109}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2643}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1810}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0753}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0199}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3435}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3664}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3596}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3905}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1248}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1794}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0158}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0002}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0790}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0048}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5066}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.6134}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1046}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}

{space 4}{hline 13}{c  TT}{hline 10}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp11}{space 1}
{space 4}{hline 13}{c   +}{hline 10}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0618}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.1824}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3057}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1675}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0311}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.2870}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.4046}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0391}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.4880}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.4531}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.3865}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}
 
Warning: f192012 has 790 values < 0. Used in calculations
 
Distributional summary statistics, 5 quantile groups

{hline 10}{c TT}{hline 64}
Quantile  {c |}
group     {c |}    Quantile  % of median     Share, %      L(p), %        GL(p)
{hline 10}{c +}{hline 64}
        1 {c |}      {res}-1.665     1248.273   -3.672e+10   -3.672e+10       -0.525
        {txt}2 {c |}      {res}-0.397      297.352   -1.422e+10   -5.094e+10       -0.728
        {txt}3 {c |}       {res}0.625     -468.450    1.570e+09   -4.937e+10       -0.706
        {txt}4 {c |}       {res}1.902    -1426.158    1.550e+10   -3.387e+10       -0.484
        {txt}5 {c |}            {res}                 3.387e+10      100.000        0.000
{txt}{hline 10}{c BT}{hline 64}
Share = quantile group share of total f192012; 
L(p)=cumulative group share; GL(p)=L(p)*mean(f192012)
(1,500 real changes made)
(1,500 real changes made)
Now calculating 9_2014

Principal components/correlation{col 50}Number of obs    = {res}     1,451
{col 50}{txt}Number of comp.  = {res}        11
{col 50}{txt}Trace            {col 67}=  {res}       11
{col 5}{txt}Rotation: (unrotated = principal){col 50}Rho              = {res}    1.0000

{txt}{col 5}{hline 13}{c TT}{hline 60}
{col 5}   Component {c |}   Eigenvalue   Difference         Proportion   Cumulative
{col 5}{hline 13}{c +}{hline 60}
{col 5}{ralign 12:Comp1} {c |}{res}      2.97236      1.77585             0.2702       0.2702
{txt}{col 5}{ralign 12:Comp2} {c |}{res}      1.19651     .0818688             0.1088       0.3790
{txt}{col 5}{ralign 12:Comp3} {c |}{res}      1.11464      .181702             0.1013       0.4803
{txt}{col 5}{ralign 12:Comp4} {c |}{res}       .93294     .0638264             0.0848       0.5651
{txt}{col 5}{ralign 12:Comp5} {c |}{res}      .869113     .0767302             0.0790       0.6441
{txt}{col 5}{ralign 12:Comp6} {c |}{res}      .792383     .0458524             0.0720       0.7162
{txt}{col 5}{ralign 12:Comp7} {c |}{res}      .746531     .0900432             0.0679       0.7840
{txt}{col 5}{ralign 12:Comp8} {c |}{res}      .656487     .0208827             0.0597       0.8437
{txt}{col 5}{ralign 12:Comp9} {c |}{res}      .635605     .0649688             0.0578       0.9015
{txt}{col 5}{ralign 12:Comp10} {c |}{res}      .570636     .0578443             0.0519       0.9534
{txt}{col 5}{ralign 12:Comp11} {c |}{res}      .512792            .             0.0466       1.0000
{txt}{col 5}{hline 13}{c BT}{hline 60}

Principal components (eigenvectors) 

{space 4}{hline 13}{c  TT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp1}{space 1}{space 1}{ralign 8:Comp2}{space 1}{space 1}{ralign 8:Comp3}{space 1}{space 1}{ralign 8:Comp4}{space 1}{space 1}{ralign 8:Comp5}{space 1}{space 1}{ralign 8:Comp6}{space 1}{space 1}{ralign 8:Comp7}{space 1}{space 1}{ralign 8:Comp8}{space 1}{space 1}{ralign 8:Comp9}{space 1}{space 1}{ralign 8:Comp10}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1871}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5355}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1484}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0507}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4478}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6382}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0275}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0164}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2053}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0110}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2747}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2540}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0468}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3934}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4492}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5736}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2608}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0291}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3022}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0287}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3766}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2880}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0220}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1988}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0800}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1276}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0243}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6321}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0426}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0488}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1510}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4315}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2659}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.7484}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0204}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2333}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0200}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2357}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1437}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0196}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3014}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2846}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2240}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1892}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0314}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2268}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.7528}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3234}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0624}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0895}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3952}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0194}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1410}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0345}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0078}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1890}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2481}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4287}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4095}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5708}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3588}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1509}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2285}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0061}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0981}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1500}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5402}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3287}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3744}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4734}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0272}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4636}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4728}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4417}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5668}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1206}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0730}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0399}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1263}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0057}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2521}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0937}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.6149}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0960}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3665}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1261}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0074}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1085}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5209}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3251}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3368}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1571}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3843}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0185}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3387}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2254}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0532}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0089}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4824}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5575}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.4141}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1647}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1815}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0372}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0993}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0453}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0427}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3659}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1108}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1480}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}

{space 4}{hline 13}{c  TT}{hline 10}{c  TT}{hline 13}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp11}{space 1}{c |}{space 1}{ralign 11:Unexplained}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{c   +}{hline 13}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0496}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.1063}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.5551}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1686}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0812}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2182}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0045}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0841}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0340}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0436}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.7650}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{c  BT}{hline 13}
{txt}({bf:score} assumed)
(10 components skipped)

Scoring coefficients 
{col 5}sum of squares(column-loading) = 1

{space 4}{hline 13}{c  TT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp1}{space 1}{space 1}{ralign 8:Comp2}{space 1}{space 1}{ralign 8:Comp3}{space 1}{space 1}{ralign 8:Comp4}{space 1}{space 1}{ralign 8:Comp5}{space 1}{space 1}{ralign 8:Comp6}{space 1}{space 1}{ralign 8:Comp7}{space 1}{space 1}{ralign 8:Comp8}{space 1}{space 1}{ralign 8:Comp9}{space 1}{space 1}{ralign 8:Comp10}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1871}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5355}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1484}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0507}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4478}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6382}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0275}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0164}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2053}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0110}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2747}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2540}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0468}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3934}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4492}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5736}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2608}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0291}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3022}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0287}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3766}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2880}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0220}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1988}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0800}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1276}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0243}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6321}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0426}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0488}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1510}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4315}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2659}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.7484}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0204}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2333}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0200}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2357}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1437}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0196}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3014}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2846}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2240}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1892}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0314}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2268}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.7528}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3234}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0624}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0895}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3952}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0194}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1410}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0345}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0078}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1890}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2481}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4287}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4095}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5708}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3588}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1509}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2285}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0061}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0981}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1500}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5402}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3287}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3744}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4734}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0272}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4636}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4728}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4417}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5668}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1206}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0730}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0399}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1263}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0057}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2521}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0937}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.6149}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0960}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3665}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1261}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0074}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1085}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5209}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3251}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3368}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1571}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3843}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0185}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3387}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2254}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0532}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0089}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4824}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5575}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.4141}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1647}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1815}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0372}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0993}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0453}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0427}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3659}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1108}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1480}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}

{space 4}{hline 13}{c  TT}{hline 10}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp11}{space 1}
{space 4}{hline 13}{c   +}{hline 10}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0496}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.1063}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.5551}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1686}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0812}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2182}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0045}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0841}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0340}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0436}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.7650}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}
 
Warning: f192014 has 751 values < 0. Used in calculations
 
Distributional summary statistics, 5 quantile groups

{hline 10}{c TT}{hline 64}
Quantile  {c |}
group     {c |}    Quantile  % of median     Share, %      L(p), %        GL(p)
{hline 10}{c +}{hline 64}
        1 {c |}      {res}-1.569      813.632   -1.235e+10   -1.235e+10       -0.499
        {txt}2 {c |}      {res}-0.340      176.427   -4.824e+09   -1.718e+10       -0.693
        {txt}3 {c |}       {res}0.499     -259.039    2.266e+08   -1.695e+10       -0.684
        {txt}4 {c |}       {res}1.839     -953.901    5.304e+09   -1.165e+10       -0.470
        {txt}5 {c |}            {res}                 1.165e+10      100.000        0.000
{txt}{hline 10}{c BT}{hline 64}
Share = quantile group share of total f192014; 
L(p)=cumulative group share; GL(p)=L(p)*mean(f192014)
(1,451 real changes made)
(1,451 real changes made)
Now calculating 9_2016

Principal components/correlation{col 50}Number of obs    = {res}     1,532
{col 50}{txt}Number of comp.  = {res}        11
{col 50}{txt}Trace            {col 67}=  {res}       11
{col 5}{txt}Rotation: (unrotated = principal){col 50}Rho              = {res}    1.0000

{txt}{col 5}{hline 13}{c TT}{hline 60}
{col 5}   Component {c |}   Eigenvalue   Difference         Proportion   Cumulative
{col 5}{hline 13}{c +}{hline 60}
{col 5}{ralign 12:Comp1} {c |}{res}       2.8841      1.76786             0.2622       0.2622
{txt}{col 5}{ralign 12:Comp2} {c |}{res}      1.11625     .0243584             0.1015       0.3637
{txt}{col 5}{ralign 12:Comp3} {c |}{res}      1.09189      .156725             0.0993       0.4629
{txt}{col 5}{ralign 12:Comp4} {c |}{res}      .935165     .0432595             0.0850       0.5479
{txt}{col 5}{ralign 12:Comp5} {c |}{res}      .891905     .0970198             0.0811       0.6290
{txt}{col 5}{ralign 12:Comp6} {c |}{res}      .794885     .0423409             0.0723       0.7013
{txt}{col 5}{ralign 12:Comp7} {c |}{res}      .752545     .0541957             0.0684       0.7697
{txt}{col 5}{ralign 12:Comp8} {c |}{res}      .698349     .0282486             0.0635       0.8332
{txt}{col 5}{ralign 12:Comp9} {c |}{res}        .6701     .0422666             0.0609       0.8941
{txt}{col 5}{ralign 12:Comp10} {c |}{res}      .627834     .0908587             0.0571       0.9512
{txt}{col 5}{ralign 12:Comp11} {c |}{res}      .536975            .             0.0488       1.0000
{txt}{col 5}{hline 13}{c BT}{hline 60}

Principal components (eigenvectors) 

{space 4}{hline 13}{c  TT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp1}{space 1}{space 1}{ralign 8:Comp2}{space 1}{space 1}{ralign 8:Comp3}{space 1}{space 1}{ralign 8:Comp4}{space 1}{space 1}{ralign 8:Comp5}{space 1}{space 1}{ralign 8:Comp6}{space 1}{space 1}{ralign 8:Comp7}{space 1}{space 1}{ralign 8:Comp8}{space 1}{space 1}{ralign 8:Comp9}{space 1}{space 1}{ralign 8:Comp10}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2268}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5187}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2675}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2518}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3681}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3849}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1629}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0630}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4512}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1383}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3154}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2756}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0241}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4782}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1937}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3642}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0641}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0764}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5806}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0081}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3768}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3337}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0820}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1018}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2236}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1120}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1272}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4408}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0840}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0904}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2100}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4244}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3103}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0157}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.6900}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1996}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2647}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1739}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1351}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0098}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3101}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3640}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2087}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0871}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0987}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2763}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5428}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4937}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0359}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2806}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3637}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0646}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1833}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1284}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1083}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1369}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5523}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1706}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3338}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5804}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3611}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2069}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0714}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0149}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0746}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3359}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4732}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2864}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2059}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5847}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0588}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3195}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6250}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4838}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4668}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1599}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0341}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0290}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0388}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1189}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2216}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1973}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5064}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5884}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0322}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2310}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1369}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0869}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3634}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2978}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3075}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0453}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2907}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2984}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2327}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.6147}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1954}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2921}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2869}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2961}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3964}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2026}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1052}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0605}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0284}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0450}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0378}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5631}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2510}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1571}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}

{space 4}{hline 13}{c  TT}{hline 10}{c  TT}{hline 13}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp11}{space 1}{c |}{space 1}{ralign 11:Unexplained}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{c   +}{hline 13}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0878}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.2794}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.6643}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2114}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.1253}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0247}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1137}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0929}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0887}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0659}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.6149}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{c  BT}{hline 13}
{txt}({bf:score} assumed)
(10 components skipped)

Scoring coefficients 
{col 5}sum of squares(column-loading) = 1

{space 4}{hline 13}{c  TT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp1}{space 1}{space 1}{ralign 8:Comp2}{space 1}{space 1}{ralign 8:Comp3}{space 1}{space 1}{ralign 8:Comp4}{space 1}{space 1}{ralign 8:Comp5}{space 1}{space 1}{ralign 8:Comp6}{space 1}{space 1}{ralign 8:Comp7}{space 1}{space 1}{ralign 8:Comp8}{space 1}{space 1}{ralign 8:Comp9}{space 1}{space 1}{ralign 8:Comp10}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2268}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5187}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2675}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2518}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3681}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3849}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1629}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0630}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4512}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1383}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3154}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2756}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0241}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4782}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1937}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3642}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0641}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0764}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5806}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0081}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3768}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3337}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0820}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1018}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2236}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1120}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1272}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4408}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0840}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0904}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2100}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4244}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3103}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0157}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.6900}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1996}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2647}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1739}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1351}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0098}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3101}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3640}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2087}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0871}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0987}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2763}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5428}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4937}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0359}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2806}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3637}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0646}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1833}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1284}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1083}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1369}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5523}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1706}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3338}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5804}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3611}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2069}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0714}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0149}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0746}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3359}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4732}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2864}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2059}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5847}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0588}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3195}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6250}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4838}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4668}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1599}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0341}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0290}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0388}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1189}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2216}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1973}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5064}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5884}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0322}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2310}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1369}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0869}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3634}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2978}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3075}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0453}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2907}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2984}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2327}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.6147}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1954}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2921}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2869}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2961}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3964}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2026}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1052}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0605}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0284}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0450}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0378}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5631}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2510}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1571}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}

{space 4}{hline 13}{c  TT}{hline 10}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp11}{space 1}
{space 4}{hline 13}{c   +}{hline 10}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0878}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.2794}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.6643}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2114}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.1253}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0247}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1137}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0929}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0887}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0659}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.6149}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}
 
Warning: f192016 has 798 values < 0. Used in calculations
 
Distributional summary statistics, 5 quantile groups

{hline 10}{c TT}{hline 64}
Quantile  {c |}
group     {c |}    Quantile  % of median     Share, %      L(p), %        GL(p)
{hline 10}{c +}{hline 64}
        1 {c |}      {res}-1.601     1291.068    6.806e+09    6.806e+09       -0.489
        {txt}2 {c |}      {res}-0.287      231.618    2.741e+09    9.547e+09       -0.687
        {txt}3 {c |}       {res}0.515     -415.284   -2.640e+08    9.283e+09       -0.668
        {txt}4 {c |}       {res}1.426    -1149.528   -2.905e+09    6.379e+09       -0.459
        {txt}5 {c |}            {res}                -6.379e+09      100.000       -0.000
{txt}{hline 10}{c BT}{hline 64}
Share = quantile group share of total f192016; 
L(p)=cumulative group share; GL(p)=L(p)*mean(f192016)
(1,532 real changes made)
(1,532 real changes made)
Now calculating 10_2006

Principal components/correlation{col 50}Number of obs    = {res}     3,008
{col 50}{txt}Number of comp.  = {res}        11
{col 50}{txt}Trace            {col 67}=  {res}       11
{col 5}{txt}Rotation: (unrotated = principal){col 50}Rho              = {res}    1.0000

{txt}{col 5}{hline 13}{c TT}{hline 60}
{col 5}   Component {c |}   Eigenvalue   Difference         Proportion   Cumulative
{col 5}{hline 13}{c +}{hline 60}
{col 5}{ralign 12:Comp1} {c |}{res}      3.80066      2.50514             0.3455       0.3455
{txt}{col 5}{ralign 12:Comp2} {c |}{res}      1.29551        .2429             0.1178       0.4633
{txt}{col 5}{ralign 12:Comp3} {c |}{res}      1.05261      .258668             0.0957       0.5590
{txt}{col 5}{ralign 12:Comp4} {c |}{res}      .793947     .0417043             0.0722       0.6312
{txt}{col 5}{ralign 12:Comp5} {c |}{res}      .752243     .0581463             0.0684       0.6995
{txt}{col 5}{ralign 12:Comp6} {c |}{res}      .694096     .0716784             0.0631       0.7626
{txt}{col 5}{ralign 12:Comp7} {c |}{res}      .622418     .0473068             0.0566       0.8192
{txt}{col 5}{ralign 12:Comp8} {c |}{res}      .575111     .0471655             0.0523       0.8715
{txt}{col 5}{ralign 12:Comp9} {c |}{res}      .527946     .0538445             0.0480       0.9195
{txt}{col 5}{ralign 12:Comp10} {c |}{res}      .474101     .0627516             0.0431       0.9626
{txt}{col 5}{ralign 12:Comp11} {c |}{res}       .41135            .             0.0374       1.0000
{txt}{col 5}{hline 13}{c BT}{hline 60}

Principal components (eigenvectors) 

{space 4}{hline 13}{c  TT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp1}{space 1}{space 1}{ralign 8:Comp2}{space 1}{space 1}{ralign 8:Comp3}{space 1}{space 1}{ralign 8:Comp4}{space 1}{space 1}{ralign 8:Comp5}{space 1}{space 1}{ralign 8:Comp6}{space 1}{space 1}{ralign 8:Comp7}{space 1}{space 1}{ralign 8:Comp8}{space 1}{space 1}{ralign 8:Comp9}{space 1}{space 1}{ralign 8:Comp10}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2740}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4091}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2687}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2851}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2688}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2227}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2998}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3642}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4952}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1171}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3519}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1778}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1789}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1384}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2304}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2492}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3845}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1923}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5470}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2899}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3837}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0107}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0831}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0368}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4549}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1498}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1196}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1352}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0869}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1060}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3127}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1021}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2254}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4618}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3729}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2054}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5221}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2347}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2609}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0285}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3041}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2382}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0276}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1294}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1844}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.7927}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2459}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3056}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0403}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0962}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3007}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4010}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1505}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1865}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3983}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1754}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1866}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2405}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3566}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5312}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3034}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4099}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2428}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0481}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3445}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1976}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0019}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0957}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2824}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6569}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0776}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2038}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.8170}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5114}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0003}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0101}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1135}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0046}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0573}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0729}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2028}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4983}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1994}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5339}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3133}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3345}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1710}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3791}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0403}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0315}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3082}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2962}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2122}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2890}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1962}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0973}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5217}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5599}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1355}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1585}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3727}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1653}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0595}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0303}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2840}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0629}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2564}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3733}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3849}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3685}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}

{space 4}{hline 13}{c  TT}{hline 10}{c  TT}{hline 13}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp11}{space 1}{c |}{space 1}{ralign 11:Unexplained}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{c   +}{hline 13}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0281}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3317}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.7507}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.2233}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0782}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0009}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0223}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0431}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0072}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1073}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.5056}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{c  BT}{hline 13}
{txt}({bf:score} assumed)
(10 components skipped)

Scoring coefficients 
{col 5}sum of squares(column-loading) = 1

{space 4}{hline 13}{c  TT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp1}{space 1}{space 1}{ralign 8:Comp2}{space 1}{space 1}{ralign 8:Comp3}{space 1}{space 1}{ralign 8:Comp4}{space 1}{space 1}{ralign 8:Comp5}{space 1}{space 1}{ralign 8:Comp6}{space 1}{space 1}{ralign 8:Comp7}{space 1}{space 1}{ralign 8:Comp8}{space 1}{space 1}{ralign 8:Comp9}{space 1}{space 1}{ralign 8:Comp10}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2740}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4091}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2687}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2851}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2688}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2227}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2998}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3642}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4952}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1171}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3519}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1778}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1789}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1384}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2304}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2492}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3845}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1923}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5470}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2899}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3837}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0107}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0831}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0368}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4549}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1498}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1196}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1352}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0869}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1060}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3127}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1021}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2254}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4618}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3729}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2054}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5221}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2347}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2609}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0285}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3041}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2382}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0276}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1294}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1844}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.7927}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2459}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3056}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0403}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0962}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3007}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4010}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1505}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1865}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3983}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1754}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1866}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2405}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3566}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5312}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3034}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4099}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2428}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0481}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3445}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1976}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0019}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0957}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2824}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6569}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0776}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2038}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.8170}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5114}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0003}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0101}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1135}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0046}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0573}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0729}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2028}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4983}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1994}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5339}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3133}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3345}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1710}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3791}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0403}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0315}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3082}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2962}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2122}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2890}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1962}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0973}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5217}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5599}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1355}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1585}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3727}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1653}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0595}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0303}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2840}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0629}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2564}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3733}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3849}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3685}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}

{space 4}{hline 13}{c  TT}{hline 10}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp11}{space 1}
{space 4}{hline 13}{c   +}{hline 10}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0281}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3317}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.7507}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.2233}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0782}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0009}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0223}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0431}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0072}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1073}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.5056}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}
 
Warning: f1102006 has 1801 values < 0. Used in calculations
 
Distributional summary statistics, 5 quantile groups

{hline 10}{c TT}{hline 64}
Quantile  {c |}
group     {c |}    Quantile  % of median     Share, %      L(p), %        GL(p)
{hline 10}{c +}{hline 64}
        1 {c |}      {res}-1.582      618.326    3.643e+09    3.643e+09       -0.453
        {txt}2 {c |}      {res}-0.878      343.031    2.204e+09    5.847e+09       -0.726
        {txt}3 {c |}       {res}0.013       -5.159    4.220e+08    6.269e+09       -0.779
        {txt}4 {c |}       {res}1.469     -574.050   -1.312e+09    4.956e+09       -0.616
        {txt}5 {c |}            {res}                -4.956e+09      100.000       -0.000
{txt}{hline 10}{c BT}{hline 64}
Share = quantile group share of total f1102006; 
L(p)=cumulative group share; GL(p)=L(p)*mean(f1102006)
(3,008 real changes made)
(3,008 real changes made)
Now calculating 10_2008

Principal components/correlation{col 50}Number of obs    = {res}     2,959
{col 50}{txt}Number of comp.  = {res}        11
{col 50}{txt}Trace            {col 67}=  {res}       11
{col 5}{txt}Rotation: (unrotated = principal){col 50}Rho              = {res}    1.0000

{txt}{col 5}{hline 13}{c TT}{hline 60}
{col 5}   Component {c |}   Eigenvalue   Difference         Proportion   Cumulative
{col 5}{hline 13}{c +}{hline 60}
{col 5}{ralign 12:Comp1} {c |}{res}      3.54925      2.14758             0.3227       0.3227
{txt}{col 5}{ralign 12:Comp2} {c |}{res}      1.40167      .347339             0.1274       0.4501
{txt}{col 5}{ralign 12:Comp3} {c |}{res}      1.05433      .254281             0.0958       0.5459
{txt}{col 5}{ralign 12:Comp4} {c |}{res}       .80005     .0126158             0.0727       0.6187
{txt}{col 5}{ralign 12:Comp5} {c |}{res}      .787434     .0781872             0.0716       0.6902
{txt}{col 5}{ralign 12:Comp6} {c |}{res}      .709247     .0365781             0.0645       0.7547
{txt}{col 5}{ralign 12:Comp7} {c |}{res}      .672669      .121343             0.0612       0.8159
{txt}{col 5}{ralign 12:Comp8} {c |}{res}      .551325     .0358711             0.0501       0.8660
{txt}{col 5}{ralign 12:Comp9} {c |}{res}      .515454    .00780746             0.0469       0.9129
{txt}{col 5}{ralign 12:Comp10} {c |}{res}      .507647     .0567235             0.0461       0.9590
{txt}{col 5}{ralign 12:Comp11} {c |}{res}      .450923            .             0.0410       1.0000
{txt}{col 5}{hline 13}{c BT}{hline 60}

Principal components (eigenvectors) 

{space 4}{hline 13}{c  TT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp1}{space 1}{space 1}{ralign 8:Comp2}{space 1}{space 1}{ralign 8:Comp3}{space 1}{space 1}{ralign 8:Comp4}{space 1}{space 1}{ralign 8:Comp5}{space 1}{space 1}{ralign 8:Comp6}{space 1}{space 1}{ralign 8:Comp7}{space 1}{space 1}{ralign 8:Comp8}{space 1}{space 1}{ralign 8:Comp9}{space 1}{space 1}{ralign 8:Comp10}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2885}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4039}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1985}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2635}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1035}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1065}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5158}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3296}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2235}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3847}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3625}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1535}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1814}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2018}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3625}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0873}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3060}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3361}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0842}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3469}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3623}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0881}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1908}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0100}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5401}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0591}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0021}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1535}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3972}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1552}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2968}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2149}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0789}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4009}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4332}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5700}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2935}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1887}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1126}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1816}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2838}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2417}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1476}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4805}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1675}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6385}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3917}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1188}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0182}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0178}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2924}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4240}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0318}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2064}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3512}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0440}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3136}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3716}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4262}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3844}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2940}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4542}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0133}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1979}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2427}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0946}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2582}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2569}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4415}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5174}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0712}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0976}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.8968}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1664}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1095}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1220}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3105}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0151}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0178}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0151}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2701}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4222}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0524}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5085}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2692}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1554}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1639}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3916}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3590}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1524}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3311}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2809}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2247}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3548}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0507}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1691}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2023}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5245}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4754}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0925}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3548}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2198}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0676}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0645}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2849}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4080}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2676}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2691}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2010}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4764}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}

{space 4}{hline 13}{c  TT}{hline 10}{c  TT}{hline 13}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp11}{space 1}{c |}{space 1}{ralign 11:Unexplained}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{c   +}{hline 13}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2240}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.5463}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.5690}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1374}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0667}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0091}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0697}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1713}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.2419}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2310}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.3977}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{c  BT}{hline 13}
{txt}({bf:score} assumed)
(10 components skipped)

Scoring coefficients 
{col 5}sum of squares(column-loading) = 1

{space 4}{hline 13}{c  TT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp1}{space 1}{space 1}{ralign 8:Comp2}{space 1}{space 1}{ralign 8:Comp3}{space 1}{space 1}{ralign 8:Comp4}{space 1}{space 1}{ralign 8:Comp5}{space 1}{space 1}{ralign 8:Comp6}{space 1}{space 1}{ralign 8:Comp7}{space 1}{space 1}{ralign 8:Comp8}{space 1}{space 1}{ralign 8:Comp9}{space 1}{space 1}{ralign 8:Comp10}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2885}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4039}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1985}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2635}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1035}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1065}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5158}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3296}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2235}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3847}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3625}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1535}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1814}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2018}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3625}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0873}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3060}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3361}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0842}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3469}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3623}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0881}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1908}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0100}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5401}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0591}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0021}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1535}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3972}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1552}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2968}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2149}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0789}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4009}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4332}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5700}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2935}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1887}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1126}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1816}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2838}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2417}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1476}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4805}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1675}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6385}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3917}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1188}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0182}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0178}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2924}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4240}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0318}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2064}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3512}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0440}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3136}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3716}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4262}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3844}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2940}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4542}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0133}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1979}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2427}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0946}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2582}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2569}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4415}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5174}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0712}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0976}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.8968}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1664}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1095}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1220}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3105}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0151}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0178}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0151}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2701}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4222}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0524}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5085}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2692}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1554}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1639}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3916}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3590}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1524}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3311}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2809}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2247}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3548}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0507}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1691}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2023}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5245}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4754}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0925}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3548}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2198}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0676}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0645}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2849}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4080}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2676}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2691}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2010}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4764}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}

{space 4}{hline 13}{c  TT}{hline 10}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp11}{space 1}
{space 4}{hline 13}{c   +}{hline 10}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2240}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.5463}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.5690}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1374}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0667}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0091}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0697}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1713}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.2419}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2310}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.3977}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}
 
Warning: f1102008 has 1588 values < 0. Used in calculations
 
Distributional summary statistics, 5 quantile groups

{hline 10}{c TT}{hline 64}
Quantile  {c |}
group     {c |}    Quantile  % of median     Share, %      L(p), %        GL(p)
{hline 10}{c +}{hline 64}
        1 {c |}      {res}-1.712      599.119    2.904e+10    2.904e+10       -0.503
        {txt}2 {c |}      {res}-0.431      150.713    1.292e+10    4.196e+10       -0.727
        {txt}3 {c |}       {res}0.300     -105.024    5.976e+08    4.255e+10       -0.738
        {txt}4 {c |}       {res}1.609     -563.082   -1.002e+10    3.254e+10       -0.564
        {txt}5 {c |}            {res}                -3.254e+10      100.000       -0.000
{txt}{hline 10}{c BT}{hline 64}
Share = quantile group share of total f1102008; 
L(p)=cumulative group share; GL(p)=L(p)*mean(f1102008)
(2,959 real changes made)
(2,959 real changes made)
Now calculating 10_2010

Principal components/correlation{col 50}Number of obs    = {res}     2,962
{col 50}{txt}Number of comp.  = {res}        11
{col 50}{txt}Trace            {col 67}=  {res}       11
{col 5}{txt}Rotation: (unrotated = principal){col 50}Rho              = {res}    1.0000

{txt}{col 5}{hline 13}{c TT}{hline 60}
{col 5}   Component {c |}   Eigenvalue   Difference         Proportion   Cumulative
{col 5}{hline 13}{c +}{hline 60}
{col 5}{ralign 12:Comp1} {c |}{res}      3.32462      1.79035             0.3022       0.3022
{txt}{col 5}{ralign 12:Comp2} {c |}{res}      1.53427      .462222             0.1395       0.4417
{txt}{col 5}{ralign 12:Comp3} {c |}{res}      1.07205       .26063             0.0975       0.5392
{txt}{col 5}{ralign 12:Comp4} {c |}{res}      .811416     .0317036             0.0738       0.6129
{txt}{col 5}{ralign 12:Comp5} {c |}{res}      .779713     .0196411             0.0709       0.6838
{txt}{col 5}{ralign 12:Comp6} {c |}{res}      .760072     .0804881             0.0691       0.7529
{txt}{col 5}{ralign 12:Comp7} {c |}{res}      .679584     .0979931             0.0618       0.8147
{txt}{col 5}{ralign 12:Comp8} {c |}{res}       .58159     .0730482             0.0529       0.8676
{txt}{col 5}{ralign 12:Comp9} {c |}{res}      .508542      .018178             0.0462       0.9138
{txt}{col 5}{ralign 12:Comp10} {c |}{res}      .490364     .0325782             0.0446       0.9584
{txt}{col 5}{ralign 12:Comp11} {c |}{res}      .457786            .             0.0416       1.0000
{txt}{col 5}{hline 13}{c BT}{hline 60}

Principal components (eigenvectors) 

{space 4}{hline 13}{c  TT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp1}{space 1}{space 1}{ralign 8:Comp2}{space 1}{space 1}{ralign 8:Comp3}{space 1}{space 1}{ralign 8:Comp4}{space 1}{space 1}{ralign 8:Comp5}{space 1}{space 1}{ralign 8:Comp6}{space 1}{space 1}{ralign 8:Comp7}{space 1}{space 1}{ralign 8:Comp8}{space 1}{space 1}{ralign 8:Comp9}{space 1}{space 1}{ralign 8:Comp10}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2748}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3870}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1846}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0525}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1236}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3626}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5625}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4690}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0100}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1348}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3467}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1198}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2810}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2174}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4926}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0447}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1063}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5038}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2781}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1005}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3623}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1950}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0339}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3398}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3536}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1030}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2789}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0889}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6529}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0555}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2884}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2362}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1893}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4108}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3824}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4830}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3573}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3521}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1202}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0428}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2657}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1927}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0927}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.7779}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3406}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3610}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1174}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0147}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0941}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0902}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3262}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3871}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0885}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0576}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3126}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0189}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2891}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1827}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1302}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.6736}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3117}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3969}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1086}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1529}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3399}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0549}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3397}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0750}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1870}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6189}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0547}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1181}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.8554}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0441}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2091}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4063}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0755}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1591}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0458}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0005}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2861}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4387}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1921}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0802}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3059}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3369}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0071}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1846}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3020}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2533}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3112}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3776}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2185}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1599}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0569}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4390}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1302}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1779}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2820}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2268}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3661}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2205}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0734}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0013}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0314}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1325}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4810}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5138}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4982}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0798}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}

{space 4}{hline 13}{c  TT}{hline 10}{c  TT}{hline 13}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp11}{space 1}{c |}{space 1}{ralign 11:Unexplained}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{c   +}{hline 13}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1910}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.3766}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2519}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0947}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0358}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.2166}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2292}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0868}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.5346}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.5583}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.2085}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{c  BT}{hline 13}
{txt}({bf:score} assumed)
(10 components skipped)

Scoring coefficients 
{col 5}sum of squares(column-loading) = 1

{space 4}{hline 13}{c  TT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp1}{space 1}{space 1}{ralign 8:Comp2}{space 1}{space 1}{ralign 8:Comp3}{space 1}{space 1}{ralign 8:Comp4}{space 1}{space 1}{ralign 8:Comp5}{space 1}{space 1}{ralign 8:Comp6}{space 1}{space 1}{ralign 8:Comp7}{space 1}{space 1}{ralign 8:Comp8}{space 1}{space 1}{ralign 8:Comp9}{space 1}{space 1}{ralign 8:Comp10}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2748}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3870}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1846}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0525}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1236}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3626}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5625}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4690}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0100}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1348}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3467}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1198}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2810}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2174}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4926}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0447}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1063}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5038}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2781}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1005}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3623}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1950}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0339}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3398}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3536}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1030}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2789}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0889}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6529}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0555}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2884}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2362}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1893}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4108}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3824}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4830}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3573}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3521}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1202}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0428}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2657}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1927}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0927}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.7779}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3406}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3610}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1174}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0147}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0941}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0902}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3262}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3871}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0885}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0576}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3126}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0189}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2891}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1827}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1302}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.6736}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3117}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3969}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1086}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1529}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3399}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0549}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3397}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0750}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1870}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6189}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0547}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1181}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.8554}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0441}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2091}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4063}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0755}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1591}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0458}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0005}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2861}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4387}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1921}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0802}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3059}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3369}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0071}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1846}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3020}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2533}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3112}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3776}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2185}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1599}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0569}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4390}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1302}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1779}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2820}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2268}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3661}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2205}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0734}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0013}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0314}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1325}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4810}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5138}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4982}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0798}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}

{space 4}{hline 13}{c  TT}{hline 10}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp11}{space 1}
{space 4}{hline 13}{c   +}{hline 10}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1910}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.3766}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2519}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0947}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0358}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.2166}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2292}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0868}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.5346}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.5583}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.2085}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}
 
Warning: f1102010 has 1460 values < 0. Used in calculations
 
Distributional summary statistics, 5 quantile groups

{hline 10}{c TT}{hline 64}
Quantile  {c |}
group     {c |}    Quantile  % of median     Share, %      L(p), %        GL(p)
{hline 10}{c +}{hline 64}
        1 {c |}      {res}-1.392    -5861.886    1.354e+11    1.354e+11       -0.482
        {txt}2 {c |}      {res}-0.528    -2224.635    5.027e+10    1.857e+11       -0.661
        {txt}3 {c |}       {res}0.174      733.445    5.621e+09    1.913e+11       -0.681
        {txt}4 {c |}       {res}1.181     4974.350   -3.783e+10    1.535e+11       -0.546
        {txt}5 {c |}            {res}                -1.535e+11      100.001       -0.000
{txt}{hline 10}{c BT}{hline 64}
Share = quantile group share of total f1102010; 
L(p)=cumulative group share; GL(p)=L(p)*mean(f1102010)
(2,962 real changes made)
(2,962 real changes made)
Now calculating 10_2012

Principal components/correlation{col 50}Number of obs    = {res}     3,028
{col 50}{txt}Number of comp.  = {res}        11
{col 50}{txt}Trace            {col 67}=  {res}       11
{col 5}{txt}Rotation: (unrotated = principal){col 50}Rho              = {res}    1.0000

{txt}{col 5}{hline 13}{c TT}{hline 60}
{col 5}   Component {c |}   Eigenvalue   Difference         Proportion   Cumulative
{col 5}{hline 13}{c +}{hline 60}
{col 5}{ralign 12:Comp1} {c |}{res}      3.26618       1.8346             0.2969       0.2969
{txt}{col 5}{ralign 12:Comp2} {c |}{res}      1.43157      .312905             0.1301       0.4271
{txt}{col 5}{ralign 12:Comp3} {c |}{res}      1.11867      .225755             0.1017       0.5288
{txt}{col 5}{ralign 12:Comp4} {c |}{res}      .892911      .101637             0.0812       0.6099
{txt}{col 5}{ralign 12:Comp5} {c |}{res}      .791274     .0674532             0.0719       0.6819
{txt}{col 5}{ralign 12:Comp6} {c |}{res}      .723821     .0475216             0.0658       0.7477
{txt}{col 5}{ralign 12:Comp7} {c |}{res}      .676299     .0770088             0.0615       0.8092
{txt}{col 5}{ralign 12:Comp8} {c |}{res}       .59929     .0562461             0.0545       0.8636
{txt}{col 5}{ralign 12:Comp9} {c |}{res}      .543044     .0326636             0.0494       0.9130
{txt}{col 5}{ralign 12:Comp10} {c |}{res}      .510381     .0638125             0.0464       0.9594
{txt}{col 5}{ralign 12:Comp11} {c |}{res}      .446568            .             0.0406       1.0000
{txt}{col 5}{hline 13}{c BT}{hline 60}

Principal components (eigenvectors) 

{space 4}{hline 13}{c  TT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp1}{space 1}{space 1}{ralign 8:Comp2}{space 1}{space 1}{ralign 8:Comp3}{space 1}{space 1}{ralign 8:Comp4}{space 1}{space 1}{ralign 8:Comp5}{space 1}{space 1}{ralign 8:Comp6}{space 1}{space 1}{ralign 8:Comp7}{space 1}{space 1}{ralign 8:Comp8}{space 1}{space 1}{ralign 8:Comp9}{space 1}{space 1}{ralign 8:Comp10}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2649}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4720}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0601}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2242}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1461}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2839}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4212}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2931}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5353}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0207}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3618}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1897}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1203}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0271}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3328}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4382}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1366}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0250}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5913}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3822}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3783}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2227}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1131}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0021}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2245}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3451}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0725}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1460}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0141}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.7669}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2201}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3795}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3214}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4183}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4386}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1904}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3927}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2248}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2461}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1833}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2866}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1975}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0249}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4970}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4066}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5847}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1868}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2859}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0597}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0236}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3505}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3724}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1160}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1367}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3583}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0611}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1281}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1026}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0254}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1938}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3382}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3627}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1125}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1971}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4393}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0086}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1185}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1683}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1264}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0018}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0720}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1939}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6986}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5213}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2979}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2570}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0080}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0819}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0940}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1644}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2270}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3459}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4349}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3389}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0949}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3924}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4080}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4075}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1452}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0903}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2822}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2568}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4023}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2874}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0365}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0771}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5641}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5295}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0079}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0569}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3895}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1236}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0077}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0184}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1983}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0179}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3072}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5175}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5029}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3940}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}

{space 4}{hline 13}{c  TT}{hline 10}{c  TT}{hline 13}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp11}{space 1}{c |}{space 1}{ralign 11:Unexplained}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{c   +}{hline 13}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0309}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0079}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.1000}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0425}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0566}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.7135}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.6717}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0081}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0086}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0269}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1508}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{c  BT}{hline 13}
{txt}({bf:score} assumed)
(10 components skipped)

Scoring coefficients 
{col 5}sum of squares(column-loading) = 1

{space 4}{hline 13}{c  TT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp1}{space 1}{space 1}{ralign 8:Comp2}{space 1}{space 1}{ralign 8:Comp3}{space 1}{space 1}{ralign 8:Comp4}{space 1}{space 1}{ralign 8:Comp5}{space 1}{space 1}{ralign 8:Comp6}{space 1}{space 1}{ralign 8:Comp7}{space 1}{space 1}{ralign 8:Comp8}{space 1}{space 1}{ralign 8:Comp9}{space 1}{space 1}{ralign 8:Comp10}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2649}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4720}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0601}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2242}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1461}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2839}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4212}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2931}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5353}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0207}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3618}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1897}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1203}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0271}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3328}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4382}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1366}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0250}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5913}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3822}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3783}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2227}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1131}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0021}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2245}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3451}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0725}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1460}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0141}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.7669}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2201}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3795}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3214}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4183}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4386}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1904}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3927}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2248}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2461}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1833}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2866}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1975}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0249}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4970}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4066}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5847}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1868}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2859}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0597}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0236}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3505}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3724}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1160}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1367}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3583}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0611}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1281}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1026}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0254}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1938}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3382}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3627}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1125}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1971}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4393}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0086}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1185}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1683}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1264}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0018}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0720}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1939}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6986}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5213}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2979}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2570}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0080}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0819}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0940}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1644}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2270}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3459}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4349}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3389}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0949}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3924}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4080}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4075}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1452}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0903}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2822}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2568}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4023}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2874}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0365}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0771}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5641}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5295}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0079}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0569}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3895}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1236}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0077}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0184}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1983}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0179}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3072}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5175}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5029}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3940}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}

{space 4}{hline 13}{c  TT}{hline 10}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp11}{space 1}
{space 4}{hline 13}{c   +}{hline 10}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0309}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0079}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.1000}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0425}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0566}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.7135}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.6717}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0081}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0086}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0269}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1508}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}
 
Warning: f1102012 has 1748 values < 0. Used in calculations
 
Distributional summary statistics, 5 quantile groups

{hline 10}{c TT}{hline 64}
Quantile  {c |}
group     {c |}    Quantile  % of median     Share, %      L(p), %        GL(p)
{hline 10}{c +}{hline 64}
        1 {c |}      {res}-1.439     1818.996   -6.312e+09   -6.312e+09       -0.455
        {txt}2 {c |}      {res}-0.647      817.959   -2.705e+09   -9.018e+09       -0.650
        {txt}3 {c |}       {res}0.094     -119.354   -5.163e+08   -9.534e+09       -0.687
        {txt}4 {c |}       {res}1.356    -1713.964    1.794e+09   -7.740e+09       -0.558
        {txt}5 {c |}            {res}                 7.740e+09      100.000        0.000
{txt}{hline 10}{c BT}{hline 64}
Share = quantile group share of total f1102012; 
L(p)=cumulative group share; GL(p)=L(p)*mean(f1102012)
(3,028 real changes made)
(3,028 real changes made)
Now calculating 10_2014

Principal components/correlation{col 50}Number of obs    = {res}     3,034
{col 50}{txt}Number of comp.  = {res}        11
{col 50}{txt}Trace            {col 67}=  {res}       11
{col 5}{txt}Rotation: (unrotated = principal){col 50}Rho              = {res}    1.0000

{txt}{col 5}{hline 13}{c TT}{hline 60}
{col 5}   Component {c |}   Eigenvalue   Difference         Proportion   Cumulative
{col 5}{hline 13}{c +}{hline 60}
{col 5}{ralign 12:Comp1} {c |}{res}      3.20037      1.86733             0.2909       0.2909
{txt}{col 5}{ralign 12:Comp2} {c |}{res}      1.33304     .0511666             0.1212       0.4121
{txt}{col 5}{ralign 12:Comp3} {c |}{res}      1.28187      .451805             0.1165       0.5287
{txt}{col 5}{ralign 12:Comp4} {c |}{res}      .830069     .0304215             0.0755       0.6041
{txt}{col 5}{ralign 12:Comp5} {c |}{res}      .799647     .0753809             0.0727       0.6768
{txt}{col 5}{ralign 12:Comp6} {c |}{res}      .724266     .0807317             0.0658       0.7427
{txt}{col 5}{ralign 12:Comp7} {c |}{res}      .643534     .0546085             0.0585       0.8012
{txt}{col 5}{ralign 12:Comp8} {c |}{res}      .588926     .0191116             0.0535       0.8547
{txt}{col 5}{ralign 12:Comp9} {c |}{res}      .569814      .019707             0.0518       0.9065
{txt}{col 5}{ralign 12:Comp10} {c |}{res}      .550107     .0717514             0.0500       0.9565
{txt}{col 5}{ralign 12:Comp11} {c |}{res}      .478356            .             0.0435       1.0000
{txt}{col 5}{hline 13}{c BT}{hline 60}

Principal components (eigenvectors) 

{space 4}{hline 13}{c  TT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp1}{space 1}{space 1}{ralign 8:Comp2}{space 1}{space 1}{ralign 8:Comp3}{space 1}{space 1}{ralign 8:Comp4}{space 1}{space 1}{ralign 8:Comp5}{space 1}{space 1}{ralign 8:Comp6}{space 1}{space 1}{ralign 8:Comp7}{space 1}{space 1}{ralign 8:Comp8}{space 1}{space 1}{ralign 8:Comp9}{space 1}{space 1}{ralign 8:Comp10}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2231}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2885}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4755}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1989}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1920}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4832}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5184}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1559}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1539}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1150}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3413}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0170}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2319}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3548}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2697}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3683}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4788}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0167}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4256}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2793}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3705}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1321}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2442}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0339}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2410}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2036}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1116}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5647}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3552}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3149}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2198}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1439}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4963}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4557}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1395}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5605}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2282}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2552}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1411}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0688}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2773}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2219}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0636}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5442}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6230}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3427}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2161}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0758}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0567}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0963}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3820}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3011}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1661}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0020}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0284}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1249}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3003}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2191}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0685}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0083}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3718}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2157}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1989}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0051}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1116}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2365}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4528}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2138}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3911}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2097}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0550}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3453}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5473}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4931}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4772}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1138}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1477}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1680}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1567}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0156}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2367}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5390}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1590}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2489}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3747}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0521}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0156}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0070}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3621}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5398}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2771}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5223}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1346}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1164}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1899}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1369}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0325}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1440}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3652}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.6394}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3889}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0972}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0104}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1050}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0852}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2277}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2691}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.6655}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4463}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2260}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}

{space 4}{hline 13}{c  TT}{hline 10}{c  TT}{hline 13}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp11}{space 1}{c |}{space 1}{ralign 11:Unexplained}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{c   +}{hline 13}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0315}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0807}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3581}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0380}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0570}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.7593}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.5095}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1400}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0179}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0081}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0589}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{c  BT}{hline 13}
{txt}({bf:score} assumed)
(10 components skipped)

Scoring coefficients 
{col 5}sum of squares(column-loading) = 1

{space 4}{hline 13}{c  TT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp1}{space 1}{space 1}{ralign 8:Comp2}{space 1}{space 1}{ralign 8:Comp3}{space 1}{space 1}{ralign 8:Comp4}{space 1}{space 1}{ralign 8:Comp5}{space 1}{space 1}{ralign 8:Comp6}{space 1}{space 1}{ralign 8:Comp7}{space 1}{space 1}{ralign 8:Comp8}{space 1}{space 1}{ralign 8:Comp9}{space 1}{space 1}{ralign 8:Comp10}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2231}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2885}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4755}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1989}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1920}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4832}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5184}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1559}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1539}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1150}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3413}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0170}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2319}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3548}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2697}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3683}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4788}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0167}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4256}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2793}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3705}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1321}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2442}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0339}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2410}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2036}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1116}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5647}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3552}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3149}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2198}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1439}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4963}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4557}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1395}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5605}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2282}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2552}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1411}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0688}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2773}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2219}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0636}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5442}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6230}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3427}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2161}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0758}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0567}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0963}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3820}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3011}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1661}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0020}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0284}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1249}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3003}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2191}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0685}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0083}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3718}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2157}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1989}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0051}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1116}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2365}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4528}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2138}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3911}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2097}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0550}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3453}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5473}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4931}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4772}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1138}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1477}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1680}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1567}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0156}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2367}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5390}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1590}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2489}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3747}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0521}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0156}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0070}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3621}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5398}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2771}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5223}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1346}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1164}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1899}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1369}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0325}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1440}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3652}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.6394}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3889}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0972}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0104}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1050}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0852}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2277}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2691}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.6655}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4463}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2260}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}

{space 4}{hline 13}{c  TT}{hline 10}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp11}{space 1}
{space 4}{hline 13}{c   +}{hline 10}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0315}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0807}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3581}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0380}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0570}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.7593}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.5095}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1400}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0179}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0081}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0589}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}
 
Warning: f1102014 has 1789 values < 0. Used in calculations
 
Distributional summary statistics, 5 quantile groups

{hline 10}{c TT}{hline 64}
Quantile  {c |}
group     {c |}    Quantile  % of median     Share, %      L(p), %        GL(p)
{hline 10}{c +}{hline 64}
        1 {c |}      {res}-1.555      516.980   -8.269e+09   -8.269e+09       -0.452
        {txt}2 {c |}      {res}-0.656      218.141   -3.704e+09   -1.197e+10       -0.654
        {txt}3 {c |}       {res}0.179      -59.564   -9.202e+08   -1.289e+10       -0.705
        {txt}4 {c |}       {res}1.470     -488.860    2.668e+09   -1.023e+10       -0.559
        {txt}5 {c |}            {res}                 1.023e+10      100.000        0.000
{txt}{hline 10}{c BT}{hline 64}
Share = quantile group share of total f1102014; 
L(p)=cumulative group share; GL(p)=L(p)*mean(f1102014)
(3,034 real changes made)
(3,034 real changes made)
Now calculating 10_2016

Principal components/correlation{col 50}Number of obs    = {res}     1,674
{col 50}{txt}Number of comp.  = {res}        11
{col 50}{txt}Trace            {col 67}=  {res}       11
{col 5}{txt}Rotation: (unrotated = principal){col 50}Rho              = {res}    1.0000

{txt}{col 5}{hline 13}{c TT}{hline 60}
{col 5}   Component {c |}   Eigenvalue   Difference         Proportion   Cumulative
{col 5}{hline 13}{c +}{hline 60}
{col 5}{ralign 12:Comp1} {c |}{res}      2.69787      1.37721             0.2453       0.2453
{txt}{col 5}{ralign 12:Comp2} {c |}{res}      1.32066      .175645             0.1201       0.3653
{txt}{col 5}{ralign 12:Comp3} {c |}{res}      1.14501      .195936             0.1041       0.4694
{txt}{col 5}{ralign 12:Comp4} {c |}{res}      .949079     .0807845             0.0863       0.5557
{txt}{col 5}{ralign 12:Comp5} {c |}{res}      .868294     .0924144             0.0789       0.6346
{txt}{col 5}{ralign 12:Comp6} {c |}{res}       .77588     .0271026             0.0705       0.7052
{txt}{col 5}{ralign 12:Comp7} {c |}{res}      .748777     .0615858             0.0681       0.7732
{txt}{col 5}{ralign 12:Comp8} {c |}{res}      .687191     .0430344             0.0625       0.8357
{txt}{col 5}{ralign 12:Comp9} {c |}{res}      .644157      .018749             0.0586       0.8943
{txt}{col 5}{ralign 12:Comp10} {c |}{res}      .625408     .0877351             0.0569       0.9511
{txt}{col 5}{ralign 12:Comp11} {c |}{res}      .537673            .             0.0489       1.0000
{txt}{col 5}{hline 13}{c BT}{hline 60}

Principal components (eigenvectors) 

{space 4}{hline 13}{c  TT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp1}{space 1}{space 1}{ralign 8:Comp2}{space 1}{space 1}{ralign 8:Comp3}{space 1}{space 1}{ralign 8:Comp4}{space 1}{space 1}{ralign 8:Comp5}{space 1}{space 1}{ralign 8:Comp6}{space 1}{space 1}{ralign 8:Comp7}{space 1}{space 1}{ralign 8:Comp8}{space 1}{space 1}{ralign 8:Comp9}{space 1}{space 1}{ralign 8:Comp10}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2040}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1991}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4543}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1154}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.7612}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1366}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0871}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2808}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0668}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0887}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3559}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0805}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1174}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4686}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0757}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0975}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1565}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.6383}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3634}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0847}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3642}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0477}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3318}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0504}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2211}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3448}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1425}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1765}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6398}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3220}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1243}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1151}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6542}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4236}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2231}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3938}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3589}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1613}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0602}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0076}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3220}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1341}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0438}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4125}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1184}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.7456}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0285}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1930}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2998}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0901}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.4135}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2203}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1372}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0112}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0568}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0739}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2578}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2030}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3226}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3350}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.4166}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1493}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2164}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1162}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0046}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1451}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1273}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3796}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0688}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2509}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0539}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4729}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4090}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5123}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3622}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0239}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1402}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2743}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3416}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0172}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1894}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5729}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0282}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2214}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3050}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2684}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3440}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3533}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0410}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4194}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2352}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5422}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0272}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1777}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2587}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1471}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4336}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1645}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1958}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5245}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3759}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0612}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0733}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2414}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0888}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1455}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.6398}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0831}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3083}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4966}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}

{space 4}{hline 13}{c  TT}{hline 10}{c  TT}{hline 13}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp11}{space 1}{c |}{space 1}{ralign 11:Unexplained}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{c   +}{hline 13}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0475}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.2171}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1424}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0247}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0143}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.6549}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.7034}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0024}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0166}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0359}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0657}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{c  BT}{hline 13}
{txt}({bf:score} assumed)
(10 components skipped)

Scoring coefficients 
{col 5}sum of squares(column-loading) = 1

{space 4}{hline 13}{c  TT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp1}{space 1}{space 1}{ralign 8:Comp2}{space 1}{space 1}{ralign 8:Comp3}{space 1}{space 1}{ralign 8:Comp4}{space 1}{space 1}{ralign 8:Comp5}{space 1}{space 1}{ralign 8:Comp6}{space 1}{space 1}{ralign 8:Comp7}{space 1}{space 1}{ralign 8:Comp8}{space 1}{space 1}{ralign 8:Comp9}{space 1}{space 1}{ralign 8:Comp10}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2040}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1991}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4543}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1154}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.7612}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1366}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0871}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2808}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0668}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0887}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3559}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0805}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1174}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4686}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0757}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0975}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1565}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.6383}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3634}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0847}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3642}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0477}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3318}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0504}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2211}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3448}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1425}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1765}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6398}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3220}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1243}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1151}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6542}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4236}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2231}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3938}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3589}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1613}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0602}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0076}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3220}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1341}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0438}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4125}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1184}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.7456}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0285}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1930}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2998}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0901}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.4135}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2203}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1372}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0112}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0568}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0739}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2578}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2030}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3226}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3350}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.4166}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1493}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2164}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1162}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0046}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1451}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1273}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3796}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0688}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2509}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0539}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4729}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4090}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5123}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3622}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0239}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1402}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2743}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3416}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0172}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1894}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5729}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0282}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2214}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3050}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2684}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3440}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3533}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0410}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4194}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2352}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5422}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0272}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1777}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2587}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1471}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4336}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1645}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1958}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5245}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3759}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0612}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0733}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2414}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0888}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1455}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.6398}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0831}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3083}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4966}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}

{space 4}{hline 13}{c  TT}{hline 10}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp11}{space 1}
{space 4}{hline 13}{c   +}{hline 10}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0475}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.2171}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1424}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0247}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0143}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.6549}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.7034}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0024}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0166}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0359}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0657}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}
 
Warning: f1102016 has 888 values < 0. Used in calculations
 
Distributional summary statistics, 5 quantile groups

{hline 10}{c TT}{hline 64}
Quantile  {c |}
group     {c |}    Quantile  % of median     Share, %      L(p), %        GL(p)
{hline 10}{c +}{hline 64}
        1 {c |}      {res}-1.522      801.191   -2.612e+10   -2.612e+10       -0.419
        {txt}2 {c |}      {res}-0.721      379.322   -1.203e+10   -3.814e+10       -0.611
        {txt}3 {c |}       {res}0.176      -92.512   -2.580e+09   -4.072e+10       -0.653
        {txt}4 {c |}       {res}1.469     -773.521    9.031e+09   -3.169e+10       -0.508
        {txt}5 {c |}            {res}                 3.169e+10      100.000        0.000
{txt}{hline 10}{c BT}{hline 64}
Share = quantile group share of total f1102016; 
L(p)=cumulative group share; GL(p)=L(p)*mean(f1102016)
(1,674 real changes made)
(1,674 real changes made)
Now calculating 11_2006

Principal components/correlation{col 50}Number of obs    = {res}     1,500
{col 50}{txt}Number of comp.  = {res}        11
{col 50}{txt}Trace            {col 67}=  {res}       11
{col 5}{txt}Rotation: (unrotated = principal){col 50}Rho              = {res}    1.0000

{txt}{col 5}{hline 13}{c TT}{hline 60}
{col 5}   Component {c |}   Eigenvalue   Difference         Proportion   Cumulative
{col 5}{hline 13}{c +}{hline 60}
{col 5}{ralign 12:Comp1} {c |}{res}      3.50891      2.17049             0.3190       0.3190
{txt}{col 5}{ralign 12:Comp2} {c |}{res}      1.33842       .32326             0.1217       0.4407
{txt}{col 5}{ralign 12:Comp3} {c |}{res}      1.01516      .168306             0.0923       0.5330
{txt}{col 5}{ralign 12:Comp4} {c |}{res}       .84685     .0222666             0.0770       0.6099
{txt}{col 5}{ralign 12:Comp5} {c |}{res}      .824584      .116249             0.0750       0.6849
{txt}{col 5}{ralign 12:Comp6} {c |}{res}      .708335    .00452297             0.0644       0.7493
{txt}{col 5}{ralign 12:Comp7} {c |}{res}      .703812     .0604442             0.0640       0.8133
{txt}{col 5}{ralign 12:Comp8} {c |}{res}      .643368      .122972             0.0585       0.8718
{txt}{col 5}{ralign 12:Comp9} {c |}{res}      .520396      .047907             0.0473       0.9191
{txt}{col 5}{ralign 12:Comp10} {c |}{res}      .472489     .0548019             0.0430       0.9620
{txt}{col 5}{ralign 12:Comp11} {c |}{res}      .417687            .             0.0380       1.0000
{txt}{col 5}{hline 13}{c BT}{hline 60}

Principal components (eigenvectors) 

{space 4}{hline 13}{c  TT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp1}{space 1}{space 1}{ralign 8:Comp2}{space 1}{space 1}{ralign 8:Comp3}{space 1}{space 1}{ralign 8:Comp4}{space 1}{space 1}{ralign 8:Comp5}{space 1}{space 1}{ralign 8:Comp6}{space 1}{space 1}{ralign 8:Comp7}{space 1}{space 1}{ralign 8:Comp8}{space 1}{space 1}{ralign 8:Comp9}{space 1}{space 1}{ralign 8:Comp10}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2469}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4465}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1524}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0600}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3075}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1803}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5382}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5241}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1313}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0614}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3800}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0718}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0122}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1866}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3150}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2892}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2723}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0436}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0402}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.7347}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3720}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0254}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1076}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1942}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1983}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3425}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4184}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1762}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1951}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6013}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3318}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1110}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0218}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1554}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4133}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3840}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0948}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.6473}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3132}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0923}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2246}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2981}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2302}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.7508}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0659}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4653}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1399}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0517}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0136}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0097}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3534}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3075}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1763}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3191}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2122}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0728}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2936}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0076}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0807}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1713}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3468}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3372}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1630}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2306}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2549}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0416}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3636}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0222}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0756}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1735}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0792}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0478}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.9136}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3166}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1996}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0130}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0466}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0863}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0605}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0532}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2296}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4662}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1334}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1338}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6457}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0002}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0812}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1334}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4929}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0934}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3083}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4700}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0181}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0648}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0622}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0471}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0112}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3198}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.7450}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1179}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3106}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2116}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0332}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2423}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1453}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6270}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4531}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3776}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1760}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0383}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}

{space 4}{hline 13}{c  TT}{hline 10}{c  TT}{hline 13}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp11}{space 1}{c |}{space 1}{ralign 11:Unexplained}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{c   +}{hline 13}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0182}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1231}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.2223}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0061}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0247}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.6893}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.6716}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0203}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0362}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0461}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0663}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{c  BT}{hline 13}
{txt}({bf:score} assumed)
(10 components skipped)

Scoring coefficients 
{col 5}sum of squares(column-loading) = 1

{space 4}{hline 13}{c  TT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp1}{space 1}{space 1}{ralign 8:Comp2}{space 1}{space 1}{ralign 8:Comp3}{space 1}{space 1}{ralign 8:Comp4}{space 1}{space 1}{ralign 8:Comp5}{space 1}{space 1}{ralign 8:Comp6}{space 1}{space 1}{ralign 8:Comp7}{space 1}{space 1}{ralign 8:Comp8}{space 1}{space 1}{ralign 8:Comp9}{space 1}{space 1}{ralign 8:Comp10}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2469}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4465}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1524}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0600}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3075}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1803}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5382}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5241}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1313}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0614}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3800}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0718}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0122}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1866}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3150}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2892}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2723}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0436}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0402}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.7347}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3720}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0254}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1076}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1942}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1983}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3425}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4184}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1762}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1951}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6013}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3318}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1110}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0218}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1554}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4133}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3840}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0948}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.6473}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3132}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0923}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2246}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2981}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2302}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.7508}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0659}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4653}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1399}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0517}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0136}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0097}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3534}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3075}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1763}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3191}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2122}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0728}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2936}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0076}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0807}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1713}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3468}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3372}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1630}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2306}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2549}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0416}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3636}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0222}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0756}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1735}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0792}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0478}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.9136}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3166}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1996}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0130}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0466}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0863}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0605}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0532}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2296}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4662}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1334}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1338}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6457}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0002}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0812}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1334}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4929}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0934}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3083}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4700}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0181}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0648}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0622}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0471}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0112}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3198}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.7450}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1179}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3106}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2116}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0332}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2423}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1453}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6270}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4531}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3776}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1760}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0383}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}

{space 4}{hline 13}{c  TT}{hline 10}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp11}{space 1}
{space 4}{hline 13}{c   +}{hline 10}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0182}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1231}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.2223}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0061}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0247}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.6893}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.6716}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0203}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0362}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0461}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0663}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}
 
Warning: f1112006 has 764 values < 0. Used in calculations
 
Distributional summary statistics, 5 quantile groups

{hline 10}{c TT}{hline 64}
Quantile  {c |}
group     {c |}    Quantile  % of median     Share, %      L(p), %        GL(p)
{hline 10}{c +}{hline 64}
        1 {c |}      {res}-1.358      656.319    1.159e+10    1.159e+10       -0.489
        {txt}2 {c |}      {res}-0.510      246.632    5.223e+09    1.681e+10       -0.709
        {txt}3 {c |}       {res}0.254     -122.613    5.766e+08    1.739e+10       -0.733
        {txt}4 {c |}       {res}1.720     -830.834   -4.448e+09    1.294e+10       -0.546
        {txt}5 {c |}            {res}                -1.294e+10      100.000       -0.000
{txt}{hline 10}{c BT}{hline 64}
Share = quantile group share of total f1112006; 
L(p)=cumulative group share; GL(p)=L(p)*mean(f1112006)
(1,500 real changes made)
(1,500 real changes made)
Now calculating 11_2008

Principal components/correlation{col 50}Number of obs    = {res}     1,500
{col 50}{txt}Number of comp.  = {res}        11
{col 50}{txt}Trace            {col 67}=  {res}       11
{col 5}{txt}Rotation: (unrotated = principal){col 50}Rho              = {res}    1.0000

{txt}{col 5}{hline 13}{c TT}{hline 60}
{col 5}   Component {c |}   Eigenvalue   Difference         Proportion   Cumulative
{col 5}{hline 13}{c +}{hline 60}
{col 5}{ralign 12:Comp1} {c |}{res}      3.66943      2.34627             0.3336       0.3336
{txt}{col 5}{ralign 12:Comp2} {c |}{res}      1.32316      .249567             0.1203       0.4539
{txt}{col 5}{ralign 12:Comp3} {c |}{res}      1.07359      .201315             0.0976       0.5515
{txt}{col 5}{ralign 12:Comp4} {c |}{res}      .872276     .0297234             0.0793       0.6308
{txt}{col 5}{ralign 12:Comp5} {c |}{res}      .842553      .119768             0.0766       0.7074
{txt}{col 5}{ralign 12:Comp6} {c |}{res}      .722785      .114527             0.0657       0.7731
{txt}{col 5}{ralign 12:Comp7} {c |}{res}      .608258     .0454927             0.0553       0.8284
{txt}{col 5}{ralign 12:Comp8} {c |}{res}      .562766     .0942124             0.0512       0.8795
{txt}{col 5}{ralign 12:Comp9} {c |}{res}      .468553     .0198916             0.0426       0.9221
{txt}{col 5}{ralign 12:Comp10} {c |}{res}      .448662     .0406959             0.0408       0.9629
{txt}{col 5}{ralign 12:Comp11} {c |}{res}      .407966            .             0.0371       1.0000
{txt}{col 5}{hline 13}{c BT}{hline 60}

Principal components (eigenvectors) 

{space 4}{hline 13}{c  TT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp1}{space 1}{space 1}{ralign 8:Comp2}{space 1}{space 1}{ralign 8:Comp3}{space 1}{space 1}{ralign 8:Comp4}{space 1}{space 1}{ralign 8:Comp5}{space 1}{space 1}{ralign 8:Comp6}{space 1}{space 1}{ralign 8:Comp7}{space 1}{space 1}{ralign 8:Comp8}{space 1}{space 1}{ralign 8:Comp9}{space 1}{space 1}{ralign 8:Comp10}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2512}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3503}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2450}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4808}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2688}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2631}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5939}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1163}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1007}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0626}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3745}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0328}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0096}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2828}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1303}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3001}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3821}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1234}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.6552}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2798}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3680}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0064}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1366}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1210}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1894}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4017}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4163}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1704}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6377}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1417}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2860}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0394}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3500}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3047}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2512}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.6659}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3420}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2075}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1827}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0001}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2086}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2965}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1225}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4031}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.7621}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3044}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0923}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0736}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0285}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0295}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3540}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3309}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2153}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0190}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1935}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0361}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3005}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3254}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0895}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1073}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3551}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3427}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2078}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0290}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1086}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1501}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3104}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2718}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0231}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1691}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0924}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0186}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.7922}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3471}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4167}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1639}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0759}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1768}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0360}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0615}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2538}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5027}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1866}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4736}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0074}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1360}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0390}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0815}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1597}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5987}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3035}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4962}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1546}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2313}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0047}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0785}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0037}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0209}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2450}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.6992}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3457}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2458}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0884}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1394}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0897}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2605}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0920}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.8219}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1561}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0747}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}

{space 4}{hline 13}{c  TT}{hline 10}{c  TT}{hline 13}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp11}{space 1}{c |}{space 1}{ralign 11:Unexplained}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{c   +}{hline 13}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0355}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0529}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0698}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0364}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0441}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.6812}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.6919}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0196}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.1143}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1694}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0543}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{c  BT}{hline 13}
{txt}({bf:score} assumed)
(10 components skipped)

Scoring coefficients 
{col 5}sum of squares(column-loading) = 1

{space 4}{hline 13}{c  TT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp1}{space 1}{space 1}{ralign 8:Comp2}{space 1}{space 1}{ralign 8:Comp3}{space 1}{space 1}{ralign 8:Comp4}{space 1}{space 1}{ralign 8:Comp5}{space 1}{space 1}{ralign 8:Comp6}{space 1}{space 1}{ralign 8:Comp7}{space 1}{space 1}{ralign 8:Comp8}{space 1}{space 1}{ralign 8:Comp9}{space 1}{space 1}{ralign 8:Comp10}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2512}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3503}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2450}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4808}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2688}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2631}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5939}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1163}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1007}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0626}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3745}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0328}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0096}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2828}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1303}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3001}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3821}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1234}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.6552}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2798}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3680}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0064}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1366}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1210}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1894}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4017}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4163}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1704}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6377}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1417}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2860}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0394}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3500}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3047}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2512}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.6659}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3420}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2075}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1827}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0001}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2086}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2965}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1225}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4031}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.7621}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3044}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0923}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0736}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0285}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0295}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3540}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3309}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2153}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0190}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1935}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0361}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3005}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3254}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0895}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1073}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3551}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3427}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2078}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0290}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1086}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1501}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3104}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2718}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0231}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1691}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0924}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0186}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.7922}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3471}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4167}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1639}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0759}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1768}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0360}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0615}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2538}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5027}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1866}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4736}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0074}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1360}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0390}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0815}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1597}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5987}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3035}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4962}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1546}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2313}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0047}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0785}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0037}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0209}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2450}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.6992}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3457}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2458}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0884}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1394}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0897}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2605}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0920}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.8219}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1561}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0747}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}

{space 4}{hline 13}{c  TT}{hline 10}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp11}{space 1}
{space 4}{hline 13}{c   +}{hline 10}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0355}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0529}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0698}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0364}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0441}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.6812}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.6919}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0196}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.1143}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1694}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0543}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}
 
Warning: f1112008 has 845 values < 0. Used in calculations
 
Distributional summary statistics, 5 quantile groups

{hline 10}{c TT}{hline 64}
Quantile  {c |}
group     {c |}    Quantile  % of median     Share, %      L(p), %        GL(p)
{hline 10}{c +}{hline 64}
        1 {c |}      {res}-1.508      986.999   -4.532e+09   -4.532e+09       -0.525
        {txt}2 {c |}      {res}-0.742      485.527   -1.982e+09   -6.514e+09       -0.755
        {txt}3 {c |}       {res}0.583     -381.647    1.292e+08   -6.385e+09       -0.740
        {txt}4 {c |}       {res}1.706    -1116.835    1.540e+09   -4.845e+09       -0.561
        {txt}5 {c |}            {res}                 4.845e+09      100.000        0.000
{txt}{hline 10}{c BT}{hline 64}
Share = quantile group share of total f1112008; 
L(p)=cumulative group share; GL(p)=L(p)*mean(f1112008)
(1,500 real changes made)
(1,500 real changes made)
Now calculating 11_2010

Principal components/correlation{col 50}Number of obs    = {res}     1,500
{col 50}{txt}Number of comp.  = {res}        11
{col 50}{txt}Trace            {col 67}=  {res}       11
{col 5}{txt}Rotation: (unrotated = principal){col 50}Rho              = {res}    1.0000

{txt}{col 5}{hline 13}{c TT}{hline 60}
{col 5}   Component {c |}   Eigenvalue   Difference         Proportion   Cumulative
{col 5}{hline 13}{c +}{hline 60}
{col 5}{ralign 12:Comp1} {c |}{res}      3.51202      2.25249             0.3193       0.3193
{txt}{col 5}{ralign 12:Comp2} {c |}{res}      1.25952      .196657             0.1145       0.4338
{txt}{col 5}{ralign 12:Comp3} {c |}{res}      1.06287     .0496388             0.0966       0.5304
{txt}{col 5}{ralign 12:Comp4} {c |}{res}      1.01323      .157401             0.0921       0.6225
{txt}{col 5}{ralign 12:Comp5} {c |}{res}      .855827       .10332             0.0778       0.7003
{txt}{col 5}{ralign 12:Comp6} {c |}{res}      .752507      .118709             0.0684       0.7687
{txt}{col 5}{ralign 12:Comp7} {c |}{res}      .633798     .0654128             0.0576       0.8263
{txt}{col 5}{ralign 12:Comp8} {c |}{res}      .568386     .0542913             0.0517       0.8780
{txt}{col 5}{ralign 12:Comp9} {c |}{res}      .514094     .0479498             0.0467       0.9247
{txt}{col 5}{ralign 12:Comp10} {c |}{res}      .466144      .104534             0.0424       0.9671
{txt}{col 5}{ralign 12:Comp11} {c |}{res}       .36161            .             0.0329       1.0000
{txt}{col 5}{hline 13}{c BT}{hline 60}

Principal components (eigenvectors) 

{space 4}{hline 13}{c  TT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp1}{space 1}{space 1}{ralign 8:Comp2}{space 1}{space 1}{ralign 8:Comp3}{space 1}{space 1}{ralign 8:Comp4}{space 1}{space 1}{ralign 8:Comp5}{space 1}{space 1}{ralign 8:Comp6}{space 1}{space 1}{ralign 8:Comp7}{space 1}{space 1}{ralign 8:Comp8}{space 1}{space 1}{ralign 8:Comp9}{space 1}{space 1}{ralign 8:Comp10}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2265}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3006}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4331}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4542}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0538}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2585}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5818}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1836}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1188}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0889}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3791}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0183}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0214}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2285}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2030}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3305}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3006}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2099}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0493}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.7183}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3623}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1371}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1673}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2311}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1188}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3741}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3502}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1081}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3815}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5692}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2431}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2351}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5166}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1807}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1761}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5627}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3681}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2230}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2212}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0594}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2028}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2675}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2462}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2854}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.7701}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3631}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0493}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1318}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0167}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0158}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3822}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2945}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1830}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0026}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1261}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2018}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3403}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3114}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0575}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0909}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3890}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2819}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1360}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0735}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0816}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3164}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2917}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1767}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1033}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0183}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1129}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0260}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4819}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6663}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5134}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1858}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0097}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0445}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0669}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0756}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2241}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5442}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3291}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2876}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1580}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0272}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2314}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1356}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5658}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2093}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2763}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5226}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2521}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1663}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0680}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0596}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1847}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2048}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.6303}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2749}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3698}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1661}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0188}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1191}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0456}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2362}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1482}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.8080}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2299}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1211}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}

{space 4}{hline 13}{c  TT}{hline 10}{c  TT}{hline 13}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp11}{space 1}{c |}{space 1}{ralign 11:Unexplained}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{c   +}{hline 13}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0212}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0111}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.1028}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0262}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0045}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.6728}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.7150}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0037}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0326}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0486}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1446}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{c  BT}{hline 13}
{txt}({bf:score} assumed)
(10 components skipped)

Scoring coefficients 
{col 5}sum of squares(column-loading) = 1

{space 4}{hline 13}{c  TT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp1}{space 1}{space 1}{ralign 8:Comp2}{space 1}{space 1}{ralign 8:Comp3}{space 1}{space 1}{ralign 8:Comp4}{space 1}{space 1}{ralign 8:Comp5}{space 1}{space 1}{ralign 8:Comp6}{space 1}{space 1}{ralign 8:Comp7}{space 1}{space 1}{ralign 8:Comp8}{space 1}{space 1}{ralign 8:Comp9}{space 1}{space 1}{ralign 8:Comp10}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2265}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3006}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4331}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4542}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0538}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2585}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5818}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1836}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1188}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0889}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3791}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0183}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0214}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2285}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2030}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3305}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3006}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2099}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0493}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.7183}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3623}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1371}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1673}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2311}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1188}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3741}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3502}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1081}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3815}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5692}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2431}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2351}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5166}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1807}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1761}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5627}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3681}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2230}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2212}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0594}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2028}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2675}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2462}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2854}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.7701}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3631}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0493}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1318}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0167}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0158}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3822}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2945}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1830}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0026}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1261}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2018}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3403}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3114}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0575}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0909}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3890}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2819}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1360}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0735}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0816}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3164}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2917}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1767}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1033}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0183}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1129}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0260}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4819}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6663}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5134}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1858}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0097}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0445}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0669}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0756}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2241}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5442}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3291}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2876}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1580}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0272}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2314}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1356}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5658}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2093}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2763}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5226}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2521}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1663}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0680}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0596}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1847}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2048}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.6303}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2749}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3698}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1661}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0188}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1191}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0456}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2362}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1482}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.8080}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2299}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1211}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}

{space 4}{hline 13}{c  TT}{hline 10}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp11}{space 1}
{space 4}{hline 13}{c   +}{hline 10}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0212}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0111}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.1028}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0262}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0045}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.6728}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.7150}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0037}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0326}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0486}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1446}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}
 
Warning: f1112010 has 793 values < 0. Used in calculations
 
Distributional summary statistics, 5 quantile groups

{hline 10}{c TT}{hline 64}
Quantile  {c |}
group     {c |}    Quantile  % of median     Share, %      L(p), %        GL(p)
{hline 10}{c +}{hline 64}
        1 {c |}      {res}-1.836      559.351    1.111e+10    1.111e+10       -0.507
        {txt}2 {c |}      {res}-0.479      145.969    5.495e+09    1.661e+10       -0.757
        {txt}3 {c |}       {res}0.312      -94.965    6.948e+07    1.668e+10       -0.761
        {txt}4 {c |}       {res}1.937     -590.388   -5.000e+09    1.168e+10       -0.532
        {txt}5 {c |}            {res}                -1.168e+10      100.000       -0.000
{txt}{hline 10}{c BT}{hline 64}
Share = quantile group share of total f1112010; 
L(p)=cumulative group share; GL(p)=L(p)*mean(f1112010)
(1,500 real changes made)
(1,500 real changes made)
Now calculating 11_2012

Principal components/correlation{col 50}Number of obs    = {res}     1,500
{col 50}{txt}Number of comp.  = {res}        11
{col 50}{txt}Trace            {col 67}=  {res}       11
{col 5}{txt}Rotation: (unrotated = principal){col 50}Rho              = {res}    1.0000

{txt}{col 5}{hline 13}{c TT}{hline 60}
{col 5}   Component {c |}   Eigenvalue   Difference         Proportion   Cumulative
{col 5}{hline 13}{c +}{hline 60}
{col 5}{ralign 12:Comp1} {c |}{res}       3.5822      2.37245             0.3257       0.3257
{txt}{col 5}{ralign 12:Comp2} {c |}{res}      1.20975     .0546405             0.1100       0.4356
{txt}{col 5}{ralign 12:Comp3} {c |}{res}      1.15511      .149707             0.1050       0.5406
{txt}{col 5}{ralign 12:Comp4} {c |}{res}       1.0054      .181055             0.0914       0.6320
{txt}{col 5}{ralign 12:Comp5} {c |}{res}      .824346     .0499973             0.0749       0.7070
{txt}{col 5}{ralign 12:Comp6} {c |}{res}      .774349      .169016             0.0704       0.7774
{txt}{col 5}{ralign 12:Comp7} {c |}{res}      .605333     .0674473             0.0550       0.8324
{txt}{col 5}{ralign 12:Comp8} {c |}{res}      .537886     .0370441             0.0489       0.8813
{txt}{col 5}{ralign 12:Comp9} {c |}{res}      .500842     .0569669             0.0455       0.9268
{txt}{col 5}{ralign 12:Comp10} {c |}{res}      .443875      .082965             0.0404       0.9672
{txt}{col 5}{ralign 12:Comp11} {c |}{res}       .36091            .             0.0328       1.0000
{txt}{col 5}{hline 13}{c BT}{hline 60}

Principal components (eigenvectors) 

{space 4}{hline 13}{c  TT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp1}{space 1}{space 1}{ralign 8:Comp2}{space 1}{space 1}{ralign 8:Comp3}{space 1}{space 1}{ralign 8:Comp4}{space 1}{space 1}{ralign 8:Comp5}{space 1}{space 1}{ralign 8:Comp6}{space 1}{space 1}{ralign 8:Comp7}{space 1}{space 1}{ralign 8:Comp8}{space 1}{space 1}{ralign 8:Comp9}{space 1}{space 1}{ralign 8:Comp10}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1776}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2433}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3685}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5929}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1337}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5250}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3459}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0829}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0031}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0369}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3776}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1193}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0046}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1943}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1550}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0477}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.6127}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2528}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0487}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5792}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3736}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0451}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2760}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0089}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1775}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1475}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3216}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4573}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3952}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4850}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2176}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0144}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4863}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3078}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2840}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.6774}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0328}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0494}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2403}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1414}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1825}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3567}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3493}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3082}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.6002}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4681}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1514}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0756}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1031}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0145}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3953}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1858}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2889}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0593}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0602}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0658}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2311}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3210}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1244}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1029}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3880}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2163}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2446}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0332}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0625}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0416}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3788}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3998}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0378}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0218}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0886}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3896}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5096}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3021}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6839}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0330}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0031}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0922}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0654}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0857}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2169}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5290}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1130}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5248}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0408}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0258}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3329}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0808}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4399}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2677}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3136}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4903}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1017}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2158}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0664}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0293}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1849}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1793}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5858}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4341}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3816}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2090}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0592}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0544}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0666}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1168}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1886}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.6339}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4639}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3596}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}

{space 4}{hline 13}{c  TT}{hline 10}{c  TT}{hline 13}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp11}{space 1}{c |}{space 1}{ralign 11:Unexplained}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{c   +}{hline 13}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0220}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0440}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.1580}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0205}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0604}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.7292}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.6564}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0229}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0083}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0339}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0650}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{c  BT}{hline 13}
{txt}({bf:score} assumed)
(10 components skipped)

Scoring coefficients 
{col 5}sum of squares(column-loading) = 1

{space 4}{hline 13}{c  TT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp1}{space 1}{space 1}{ralign 8:Comp2}{space 1}{space 1}{ralign 8:Comp3}{space 1}{space 1}{ralign 8:Comp4}{space 1}{space 1}{ralign 8:Comp5}{space 1}{space 1}{ralign 8:Comp6}{space 1}{space 1}{ralign 8:Comp7}{space 1}{space 1}{ralign 8:Comp8}{space 1}{space 1}{ralign 8:Comp9}{space 1}{space 1}{ralign 8:Comp10}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1776}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2433}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3685}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5929}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1337}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5250}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3459}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0829}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0031}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0369}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3776}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1193}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0046}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1943}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1550}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0477}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.6127}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2528}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0487}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5792}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3736}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0451}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2760}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0089}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1775}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1475}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3216}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4573}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3952}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4850}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2176}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0144}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4863}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3078}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2840}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.6774}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0328}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0494}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2403}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1414}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1825}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3567}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3493}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3082}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.6002}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4681}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1514}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0756}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1031}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0145}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3953}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1858}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2889}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0593}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0602}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0658}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2311}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3210}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1244}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1029}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3880}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2163}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2446}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0332}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0625}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0416}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3788}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3998}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0378}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0218}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0886}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3896}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5096}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3021}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6839}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0330}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0031}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0922}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0654}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0857}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2169}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5290}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1130}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5248}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0408}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0258}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3329}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0808}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4399}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2677}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3136}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4903}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1017}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2158}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0664}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0293}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1849}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1793}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5858}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4341}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3816}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2090}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0592}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0544}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0666}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1168}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1886}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.6339}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4639}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3596}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}

{space 4}{hline 13}{c  TT}{hline 10}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp11}{space 1}
{space 4}{hline 13}{c   +}{hline 10}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0220}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0440}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.1580}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0205}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0604}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.7292}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.6564}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0229}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0083}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0339}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0650}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}
 
Warning: f1112012 has 828 values < 0. Used in calculations
 
Distributional summary statistics, 5 quantile groups

{hline 10}{c TT}{hline 64}
Quantile  {c |}
group     {c |}    Quantile  % of median     Share, %      L(p), %        GL(p)
{hline 10}{c +}{hline 64}
        1 {c |}      {res}-1.746      452.282    1.226e+10    1.226e+10       -0.543
        {txt}2 {c |}      {res}-0.433      112.131    4.506e+09    1.677e+10       -0.743
        {txt}3 {c |}       {res}0.340      -87.968    8.937e+08    1.766e+10       -0.782
        {txt}4 {c |}       {res}2.030     -525.776   -5.236e+09    1.243e+10       -0.550
        {txt}5 {c |}            {res}                -1.243e+10      100.000       -0.000
{txt}{hline 10}{c BT}{hline 64}
Share = quantile group share of total f1112012; 
L(p)=cumulative group share; GL(p)=L(p)*mean(f1112012)
(1,500 real changes made)
(1,500 real changes made)
Now calculating 11_2014

Principal components/correlation{col 50}Number of obs    = {res}     1,487
{col 50}{txt}Number of comp.  = {res}        11
{col 50}{txt}Trace            {col 67}=  {res}       11
{col 5}{txt}Rotation: (unrotated = principal){col 50}Rho              = {res}    1.0000

{txt}{col 5}{hline 13}{c TT}{hline 60}
{col 5}   Component {c |}   Eigenvalue   Difference         Proportion   Cumulative
{col 5}{hline 13}{c +}{hline 60}
{col 5}{ralign 12:Comp1} {c |}{res}      3.39051      2.14916             0.3082       0.3082
{txt}{col 5}{ralign 12:Comp2} {c |}{res}      1.24134     .0790225             0.1128       0.4211
{txt}{col 5}{ralign 12:Comp3} {c |}{res}      1.16232      .158773             0.1057       0.5267
{txt}{col 5}{ralign 12:Comp4} {c |}{res}      1.00355      .192797             0.0912       0.6180
{txt}{col 5}{ralign 12:Comp5} {c |}{res}       .81075     .0822358             0.0737       0.6917
{txt}{col 5}{ralign 12:Comp6} {c |}{res}      .728515      .115948             0.0662       0.7579
{txt}{col 5}{ralign 12:Comp7} {c |}{res}      .612566     .0327788             0.0557       0.8136
{txt}{col 5}{ralign 12:Comp8} {c |}{res}      .579788     .0342804             0.0527       0.8663
{txt}{col 5}{ralign 12:Comp9} {c |}{res}      .545507     .0507639             0.0496       0.9159
{txt}{col 5}{ralign 12:Comp10} {c |}{res}      .494743     .0643289             0.0450       0.9609
{txt}{col 5}{ralign 12:Comp11} {c |}{res}      .430414            .             0.0391       1.0000
{txt}{col 5}{hline 13}{c BT}{hline 60}

Principal components (eigenvectors) 

{space 4}{hline 13}{c  TT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp1}{space 1}{space 1}{ralign 8:Comp2}{space 1}{space 1}{ralign 8:Comp3}{space 1}{space 1}{ralign 8:Comp4}{space 1}{space 1}{ralign 8:Comp5}{space 1}{space 1}{ralign 8:Comp6}{space 1}{space 1}{ralign 8:Comp7}{space 1}{space 1}{ralign 8:Comp8}{space 1}{space 1}{ralign 8:Comp9}{space 1}{space 1}{ralign 8:Comp10}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2158}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3231}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3849}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4538}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0621}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5813}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0690}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2677}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2005}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1864}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3693}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0871}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0394}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2010}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2787}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2044}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2377}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5447}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5786}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0670}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3633}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1841}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2564}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0257}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2034}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1095}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4024}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0722}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6021}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4264}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2423}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1370}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4068}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4348}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3444}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5611}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0163}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2025}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0393}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3001}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1902}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2724}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3550}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4541}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.6184}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3695}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1448}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0913}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0513}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0808}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3989}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2134}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1675}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0191}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0306}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0108}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4583}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0649}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0029}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1601}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3924}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2060}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1542}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0387}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0044}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0251}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5749}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0380}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0408}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0697}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0351}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2120}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6579}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3319}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6058}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1599}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0974}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0178}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0635}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0453}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2245}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5845}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0376}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3939}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0097}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1123}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0417}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4362}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3162}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3824}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2846}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5145}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0821}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3004}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0788}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0021}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0251}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3998}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3842}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4876}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3802}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1479}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0144}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0193}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0440}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3436}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4508}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4702}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0704}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5156}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}

{space 4}{hline 13}{c  TT}{hline 10}{c  TT}{hline 13}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp11}{space 1}{c |}{space 1}{ralign 11:Unexplained}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{c   +}{hline 13}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0433}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0465}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0536}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0410}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0059}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.7253}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.6627}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0493}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0223}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0733}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.1338}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{c  BT}{hline 13}
{txt}({bf:score} assumed)
(10 components skipped)

Scoring coefficients 
{col 5}sum of squares(column-loading) = 1

{space 4}{hline 13}{c  TT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp1}{space 1}{space 1}{ralign 8:Comp2}{space 1}{space 1}{ralign 8:Comp3}{space 1}{space 1}{ralign 8:Comp4}{space 1}{space 1}{ralign 8:Comp5}{space 1}{space 1}{ralign 8:Comp6}{space 1}{space 1}{ralign 8:Comp7}{space 1}{space 1}{ralign 8:Comp8}{space 1}{space 1}{ralign 8:Comp9}{space 1}{space 1}{ralign 8:Comp10}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2158}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3231}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3849}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4538}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0621}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5813}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0690}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2677}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2005}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1864}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3693}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0871}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0394}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2010}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2787}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2044}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2377}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5447}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5786}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0670}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3633}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1841}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2564}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0257}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2034}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1095}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4024}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0722}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6021}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4264}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2423}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1370}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4068}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4348}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3444}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5611}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0163}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2025}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0393}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3001}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1902}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2724}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3550}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4541}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.6184}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3695}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1448}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0913}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0513}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0808}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3989}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2134}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1675}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0191}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0306}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0108}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4583}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0649}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0029}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1601}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3924}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2060}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1542}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0387}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0044}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0251}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5749}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0380}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0408}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0697}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0351}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2120}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6579}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3319}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6058}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1599}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0974}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0178}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0635}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0453}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2245}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5845}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0376}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3939}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0097}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1123}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0417}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4362}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3162}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3824}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2846}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5145}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0821}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3004}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0788}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0021}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0251}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3998}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3842}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4876}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3802}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1479}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0144}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0193}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0440}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3436}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4508}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4702}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0704}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5156}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}

{space 4}{hline 13}{c  TT}{hline 10}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp11}{space 1}
{space 4}{hline 13}{c   +}{hline 10}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0433}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0465}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0536}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0410}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0059}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.7253}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.6627}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0493}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0223}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0733}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.1338}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}
 
Warning: f1112014 has 737 values < 0. Used in calculations
 
Distributional summary statistics, 5 quantile groups

{hline 10}{c TT}{hline 64}
Quantile  {c |}
group     {c |}    Quantile  % of median     Share, %      L(p), %        GL(p)
{hline 10}{c +}{hline 64}
        1 {c |}      {res}-1.402    -1268.939    1.458e+10    1.458e+10       -0.601
        {txt}2 {c |}      {res}-0.629     -569.011    3.549e+09    1.813e+10       -0.747
        {txt}3 {c |}       {res}0.304      274.657    2.349e+08    1.836e+10       -0.757
        {txt}4 {c |}       {res}1.826     1652.713   -6.354e+09    1.201e+10       -0.495
        {txt}5 {c |}            {res}                -1.201e+10      100.000       -0.000
{txt}{hline 10}{c BT}{hline 64}
Share = quantile group share of total f1112014; 
L(p)=cumulative group share; GL(p)=L(p)*mean(f1112014)
(1,487 real changes made)
(1,487 real changes made)
Now calculating 11_2016

Principal components/correlation{col 50}Number of obs    = {res}     2,609
{col 50}{txt}Number of comp.  = {res}        11
{col 50}{txt}Trace            {col 67}=  {res}       11
{col 5}{txt}Rotation: (unrotated = principal){col 50}Rho              = {res}    1.0000

{txt}{col 5}{hline 13}{c TT}{hline 60}
{col 5}   Component {c |}   Eigenvalue   Difference         Proportion   Cumulative
{col 5}{hline 13}{c +}{hline 60}
{col 5}{ralign 12:Comp1} {c |}{res}       3.2878      2.04712             0.2989       0.2989
{txt}{col 5}{ralign 12:Comp2} {c |}{res}      1.24068     .0651083             0.1128       0.4117
{txt}{col 5}{ralign 12:Comp3} {c |}{res}      1.17557      .287495             0.1069       0.5185
{txt}{col 5}{ralign 12:Comp4} {c |}{res}      .888074     .0595063             0.0807       0.5993
{txt}{col 5}{ralign 12:Comp5} {c |}{res}      .828567     .0639535             0.0753       0.6746
{txt}{col 5}{ralign 12:Comp6} {c |}{res}      .764614      .135837             0.0695       0.7441
{txt}{col 5}{ralign 12:Comp7} {c |}{res}      .628776     .0463849             0.0572       0.8013
{txt}{col 5}{ralign 12:Comp8} {c |}{res}      .582391    .00600549             0.0529       0.8542
{txt}{col 5}{ralign 12:Comp9} {c |}{res}      .576386     .0283688             0.0524       0.9066
{txt}{col 5}{ralign 12:Comp10} {c |}{res}      .548017     .0688832             0.0498       0.9564
{txt}{col 5}{ralign 12:Comp11} {c |}{res}      .479134            .             0.0436       1.0000
{txt}{col 5}{hline 13}{c BT}{hline 60}

Principal components (eigenvectors) 

{space 4}{hline 13}{c  TT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp1}{space 1}{space 1}{ralign 8:Comp2}{space 1}{space 1}{ralign 8:Comp3}{space 1}{space 1}{ralign 8:Comp4}{space 1}{space 1}{ralign 8:Comp5}{space 1}{space 1}{ralign 8:Comp6}{space 1}{space 1}{ralign 8:Comp7}{space 1}{space 1}{ralign 8:Comp8}{space 1}{space 1}{ralign 8:Comp9}{space 1}{space 1}{ralign 8:Comp10}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2383}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3320}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3267}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2515}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5774}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3434}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3589}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2564}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1052}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0153}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3679}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0061}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0115}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1648}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3434}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1239}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.6192}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4020}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3148}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0618}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3562}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2023}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3104}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0261}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0166}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0387}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3136}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0924}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4998}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6080}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1789}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1612}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4554}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5996}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5697}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1036}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0109}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1197}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0232}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1572}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2122}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3598}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3080}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3761}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3079}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.6967}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0289}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0202}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0256}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0030}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.4019}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1973}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1565}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0554}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0104}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0425}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0956}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1896}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3630}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1147}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3740}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2373}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2124}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1127}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0314}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1721}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2406}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1103}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5545}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0055}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0719}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2843}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6490}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3419}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2521}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5259}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0219}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0234}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0053}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1839}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2458}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5337}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0062}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4243}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1343}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1094}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3648}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5075}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1435}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1828}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2922}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4700}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0603}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3086}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1544}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0403}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4328}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4321}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2653}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3509}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3895}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1074}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0092}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0069}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1502}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2181}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0237}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5064}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3296}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.6309}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}

{space 4}{hline 13}{c  TT}{hline 10}{c  TT}{hline 13}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp11}{space 1}{c |}{space 1}{ralign 11:Unexplained}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{c   +}{hline 13}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0769}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2370}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0838}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0056}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0846}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.7616}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.5813}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0304}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0059}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0429}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0537}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{c  BT}{hline 13}
{txt}({bf:score} assumed)
(10 components skipped)

Scoring coefficients 
{col 5}sum of squares(column-loading) = 1

{space 4}{hline 13}{c  TT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp1}{space 1}{space 1}{ralign 8:Comp2}{space 1}{space 1}{ralign 8:Comp3}{space 1}{space 1}{ralign 8:Comp4}{space 1}{space 1}{ralign 8:Comp5}{space 1}{space 1}{ralign 8:Comp6}{space 1}{space 1}{ralign 8:Comp7}{space 1}{space 1}{ralign 8:Comp8}{space 1}{space 1}{ralign 8:Comp9}{space 1}{space 1}{ralign 8:Comp10}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2383}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3320}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3267}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2515}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5774}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3434}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3589}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2564}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1052}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0153}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3679}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0061}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0115}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1648}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3434}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1239}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.6192}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4020}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3148}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0618}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3562}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2023}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3104}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0261}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0166}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0387}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3136}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0924}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4998}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6080}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1789}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1612}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4554}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5996}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5697}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1036}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0109}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1197}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0232}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1572}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2122}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3598}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3080}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3761}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3079}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.6967}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0289}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0202}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0256}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0030}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.4019}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1973}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1565}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0554}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0104}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0425}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0956}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1896}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3630}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1147}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3740}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2373}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2124}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1127}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0314}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1721}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2406}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1103}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5545}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0055}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0719}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2843}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6490}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3419}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2521}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5259}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0219}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0234}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0053}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1839}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2458}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5337}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0062}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4243}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1343}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1094}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3648}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5075}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1435}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1828}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2922}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4700}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0603}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3086}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1544}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0403}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4328}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4321}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2653}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3509}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3895}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1074}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0092}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0069}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1502}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2181}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0237}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5064}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3296}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.6309}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}

{space 4}{hline 13}{c  TT}{hline 10}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp11}{space 1}
{space 4}{hline 13}{c   +}{hline 10}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0769}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2370}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0838}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0056}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0846}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.7616}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.5813}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0304}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0059}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0429}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0537}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}
 
Warning: f1112016 has 1449 values < 0. Used in calculations
 
Distributional summary statistics, 5 quantile groups

{hline 10}{c TT}{hline 64}
Quantile  {c |}
group     {c |}    Quantile  % of median     Share, %      L(p), %        GL(p)
{hline 10}{c +}{hline 64}
        1 {c |}      {res}-1.686      546.794   -2.917e+09   -2.917e+09       -0.487
        {txt}2 {c |}      {res}-0.421      136.452   -1.464e+09   -4.381e+09       -0.732
        {txt}3 {c |}       {res}0.374     -121.321   -3.709e+07   -4.418e+09       -0.738
        {txt}4 {c |}       {res}1.713     -555.579    1.176e+09   -3.242e+09       -0.541
        {txt}5 {c |}            {res}                 3.242e+09      100.000        0.000
{txt}{hline 10}{c BT}{hline 64}
Share = quantile group share of total f1112016; 
L(p)=cumulative group share; GL(p)=L(p)*mean(f1112016)
(2,609 real changes made)
(2,609 real changes made)
Now calculating 12_2006

Principal components/correlation{col 50}Number of obs    = {res}     1,160
{col 50}{txt}Number of comp.  = {res}        11
{col 50}{txt}Trace            {col 67}=  {res}       11
{col 5}{txt}Rotation: (unrotated = principal){col 50}Rho              = {res}    1.0000

{txt}{col 5}{hline 13}{c TT}{hline 60}
{col 5}   Component {c |}   Eigenvalue   Difference         Proportion   Cumulative
{col 5}{hline 13}{c +}{hline 60}
{col 5}{ralign 12:Comp1} {c |}{res}       3.5383      2.08193             0.3217       0.3217
{txt}{col 5}{ralign 12:Comp2} {c |}{res}      1.45637      .307194             0.1324       0.4541
{txt}{col 5}{ralign 12:Comp3} {c |}{res}      1.14917      .342428             0.1045       0.5585
{txt}{col 5}{ralign 12:Comp4} {c |}{res}      .806744     .0689008             0.0733       0.6319
{txt}{col 5}{ralign 12:Comp5} {c |}{res}      .737843     .0161391             0.0671       0.6989
{txt}{col 5}{ralign 12:Comp6} {c |}{res}      .721704     .0961533             0.0656       0.7646
{txt}{col 5}{ralign 12:Comp7} {c |}{res}      .625551     .0787035             0.0569       0.8214
{txt}{col 5}{ralign 12:Comp8} {c |}{res}      .546847     .0346874             0.0497       0.8711
{txt}{col 5}{ralign 12:Comp9} {c |}{res}       .51216     .0500256             0.0466       0.9177
{txt}{col 5}{ralign 12:Comp10} {c |}{res}      .462134     .0189509             0.0420       0.9597
{txt}{col 5}{ralign 12:Comp11} {c |}{res}      .443183            .             0.0403       1.0000
{txt}{col 5}{hline 13}{c BT}{hline 60}

Principal components (eigenvectors) 

{space 4}{hline 13}{c  TT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp1}{space 1}{space 1}{ralign 8:Comp2}{space 1}{space 1}{ralign 8:Comp3}{space 1}{space 1}{ralign 8:Comp4}{space 1}{space 1}{ralign 8:Comp5}{space 1}{space 1}{ralign 8:Comp6}{space 1}{space 1}{ralign 8:Comp7}{space 1}{space 1}{ralign 8:Comp8}{space 1}{space 1}{ralign 8:Comp9}{space 1}{space 1}{ralign 8:Comp10}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2957}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3682}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1416}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3013}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5454}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0395}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1876}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1242}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1761}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4212}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3469}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3497}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0108}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2287}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2964}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1011}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1205}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0353}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2237}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5852}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3270}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3494}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0214}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0960}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0328}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3848}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3533}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2232}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6458}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1171}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2972}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2551}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2259}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1521}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4500}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5625}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2310}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2617}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3439}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1146}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3276}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3329}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2120}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0972}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0966}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0978}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0892}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.8214}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0080}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1506}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3755}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0989}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2017}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0665}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2781}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1333}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4124}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1489}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5225}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1138}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2475}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3531}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1449}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4305}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4806}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5332}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1860}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2019}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1110}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0471}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0977}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3078}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6409}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4991}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0615}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3832}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1955}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0394}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1374}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1206}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2578}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1195}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5372}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5554}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0961}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0834}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2758}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0333}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0123}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3382}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3684}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0765}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3484}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1616}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2837}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0184}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1706}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1155}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0165}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5260}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2752}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4413}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0313}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2041}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0025}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2406}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6450}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3338}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2809}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0994}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}

{space 4}{hline 13}{c  TT}{hline 10}{c  TT}{hline 13}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp11}{space 1}{c |}{space 1}{ralign 11:Unexplained}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{c   +}{hline 13}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3287}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.4457}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0819}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0133}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0566}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.4804}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0500}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.1096}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3381}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.5575}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.1127}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{c  BT}{hline 13}
{txt}({bf:score} assumed)
(10 components skipped)

Scoring coefficients 
{col 5}sum of squares(column-loading) = 1

{space 4}{hline 13}{c  TT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp1}{space 1}{space 1}{ralign 8:Comp2}{space 1}{space 1}{ralign 8:Comp3}{space 1}{space 1}{ralign 8:Comp4}{space 1}{space 1}{ralign 8:Comp5}{space 1}{space 1}{ralign 8:Comp6}{space 1}{space 1}{ralign 8:Comp7}{space 1}{space 1}{ralign 8:Comp8}{space 1}{space 1}{ralign 8:Comp9}{space 1}{space 1}{ralign 8:Comp10}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2957}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3682}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1416}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3013}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5454}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0395}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1876}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1242}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1761}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4212}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3469}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3497}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0108}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2287}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2964}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1011}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1205}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0353}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2237}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5852}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3270}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3494}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0214}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0960}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0328}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3848}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3533}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2232}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6458}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1171}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2972}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2551}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2259}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1521}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4500}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5625}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2310}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2617}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3439}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1146}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3276}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3329}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2120}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0972}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0966}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0978}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0892}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.8214}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0080}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1506}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3755}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0989}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2017}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0665}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2781}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1333}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4124}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1489}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5225}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1138}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2475}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3531}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1449}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4305}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4806}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5332}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1860}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2019}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1110}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0471}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0977}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3078}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6409}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4991}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0615}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3832}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1955}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0394}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1374}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1206}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2578}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1195}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5372}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5554}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0961}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0834}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2758}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0333}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0123}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3382}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3684}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0765}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3484}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1616}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2837}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0184}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1706}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1155}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0165}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5260}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2752}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4413}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0313}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2041}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0025}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2406}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6450}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3338}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2809}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0994}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}

{space 4}{hline 13}{c  TT}{hline 10}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp11}{space 1}
{space 4}{hline 13}{c   +}{hline 10}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3287}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.4457}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0819}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0133}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0566}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.4804}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0500}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.1096}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3381}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.5575}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.1127}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}
 
Warning: f1122006 has 540 values < 0. Used in calculations
 
Distributional summary statistics, 5 quantile groups

{hline 10}{c TT}{hline 64}
Quantile  {c |}
group     {c |}    Quantile  % of median     Share, %      L(p), %        GL(p)
{hline 10}{c +}{hline 64}
        1 {c |}      {res}-1.542    -2644.939    8.020e+09    8.020e+09       -0.541
        {txt}2 {c |}      {res}-0.527     -904.102    2.834e+09    1.085e+10       -0.733
        {txt}3 {c |}       {res}0.451      773.824   -1.984e+07    1.083e+10       -0.731
        {txt}4 {c |}       {res}1.579     2709.717   -2.980e+09    7.855e+09       -0.530
        {txt}5 {c |}            {res}                -7.855e+09      100.000       -0.000
{txt}{hline 10}{c BT}{hline 64}
Share = quantile group share of total f1122006; 
L(p)=cumulative group share; GL(p)=L(p)*mean(f1122006)
(1,160 real changes made)
(1,160 real changes made)
Now calculating 12_2008

Principal components/correlation{col 50}Number of obs    = {res}     1,156
{col 50}{txt}Number of comp.  = {res}        11
{col 50}{txt}Trace            {col 67}=  {res}       11
{col 5}{txt}Rotation: (unrotated = principal){col 50}Rho              = {res}    1.0000

{txt}{col 5}{hline 13}{c TT}{hline 60}
{col 5}   Component {c |}   Eigenvalue   Difference         Proportion   Cumulative
{col 5}{hline 13}{c +}{hline 60}
{col 5}{ralign 12:Comp1} {c |}{res}       3.5846      2.12255             0.3259       0.3259
{txt}{col 5}{ralign 12:Comp2} {c |}{res}      1.46205      .410188             0.1329       0.4588
{txt}{col 5}{ralign 12:Comp3} {c |}{res}      1.05186      .229715             0.0956       0.5544
{txt}{col 5}{ralign 12:Comp4} {c |}{res}      .822148     .0708503             0.0747       0.6292
{txt}{col 5}{ralign 12:Comp5} {c |}{res}      .751298      .106355             0.0683       0.6975
{txt}{col 5}{ralign 12:Comp6} {c |}{res}      .644943     .0335325             0.0586       0.7561
{txt}{col 5}{ralign 12:Comp7} {c |}{res}       .61141      .014634             0.0556       0.8117
{txt}{col 5}{ralign 12:Comp8} {c |}{res}      .596776     .0686239             0.0543       0.8659
{txt}{col 5}{ralign 12:Comp9} {c |}{res}      .528153       .02001             0.0480       0.9139
{txt}{col 5}{ralign 12:Comp10} {c |}{res}      .508143     .0695276             0.0462       0.9601
{txt}{col 5}{ralign 12:Comp11} {c |}{res}      .438615            .             0.0399       1.0000
{txt}{col 5}{hline 13}{c BT}{hline 60}

Principal components (eigenvectors) 

{space 4}{hline 13}{c  TT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp1}{space 1}{space 1}{ralign 8:Comp2}{space 1}{space 1}{ralign 8:Comp3}{space 1}{space 1}{ralign 8:Comp4}{space 1}{space 1}{ralign 8:Comp5}{space 1}{space 1}{ralign 8:Comp6}{space 1}{space 1}{ralign 8:Comp7}{space 1}{space 1}{ralign 8:Comp8}{space 1}{space 1}{ralign 8:Comp9}{space 1}{space 1}{ralign 8:Comp10}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2761}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3620}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0113}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4897}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1031}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5718}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2652}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1359}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2278}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2631}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3262}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3121}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0055}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3016}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3919}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0875}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0576}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1758}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3845}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5843}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3070}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3835}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1165}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1540}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1224}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2339}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5280}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2111}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4606}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3128}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2725}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3404}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1188}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0371}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6817}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4412}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0727}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2159}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2524}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0843}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3085}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3433}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1564}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0360}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2276}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2644}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3201}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6658}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2679}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1242}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3742}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1125}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0105}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0509}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1872}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2981}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3854}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3403}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5826}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2121}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3003}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3495}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2885}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0063}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0224}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1099}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5117}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5067}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2377}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3405}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1113}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2232}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.7968}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3696}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1479}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2458}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2314}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0803}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0221}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0094}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2822}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1896}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3483}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6754}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0302}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2586}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2372}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0476}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0659}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0433}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3847}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0793}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3273}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2159}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0823}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1239}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0586}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0049}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0034}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0113}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2889}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4047}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0319}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0285}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4891}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3202}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1277}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1867}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2277}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5533}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}

{space 4}{hline 13}{c  TT}{hline 10}{c  TT}{hline 13}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp11}{space 1}{c |}{space 1}{ralign 11:Unexplained}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{c   +}{hline 13}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0724}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1432}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1356}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1110}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0810}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2683}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0294}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.1529}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.4176}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.8163}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0069}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{c  BT}{hline 13}
{txt}({bf:score} assumed)
(10 components skipped)

Scoring coefficients 
{col 5}sum of squares(column-loading) = 1

{space 4}{hline 13}{c  TT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp1}{space 1}{space 1}{ralign 8:Comp2}{space 1}{space 1}{ralign 8:Comp3}{space 1}{space 1}{ralign 8:Comp4}{space 1}{space 1}{ralign 8:Comp5}{space 1}{space 1}{ralign 8:Comp6}{space 1}{space 1}{ralign 8:Comp7}{space 1}{space 1}{ralign 8:Comp8}{space 1}{space 1}{ralign 8:Comp9}{space 1}{space 1}{ralign 8:Comp10}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2761}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3620}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0113}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4897}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1031}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5718}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2652}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1359}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2278}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2631}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3262}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3121}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0055}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3016}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3919}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0875}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0576}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1758}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3845}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5843}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3070}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3835}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1165}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1540}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1224}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2339}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5280}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2111}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4606}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3128}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2725}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3404}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1188}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0371}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6817}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4412}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0727}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2159}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2524}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0843}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3085}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3433}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1564}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0360}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2276}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2644}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3201}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6658}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2679}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1242}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3742}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1125}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0105}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0509}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1872}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2981}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3854}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3403}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5826}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2121}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3003}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3495}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2885}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0063}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0224}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1099}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5117}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5067}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2377}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3405}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1113}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2232}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.7968}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3696}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1479}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2458}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2314}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0803}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0221}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0094}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2822}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1896}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3483}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6754}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0302}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2586}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2372}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0476}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0659}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0433}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3847}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0793}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3273}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2159}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0823}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1239}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0586}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0049}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0034}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0113}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2889}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4047}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0319}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0285}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4891}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3202}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1277}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1867}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2277}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5533}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}

{space 4}{hline 13}{c  TT}{hline 10}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp11}{space 1}
{space 4}{hline 13}{c   +}{hline 10}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0724}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1432}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1356}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1110}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0810}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2683}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0294}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.1529}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.4176}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.8163}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0069}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}
 
Warning: f1122008 has 558 values < 0. Used in calculations
 
Distributional summary statistics, 5 quantile groups

{hline 10}{c TT}{hline 64}
Quantile  {c |}
group     {c |}    Quantile  % of median     Share, %      L(p), %        GL(p)
{hline 10}{c +}{hline 64}
        1 {c |}      {res}-1.704   -10715.307    3.001e+10    3.001e+10       -0.579
        {txt}2 {c |}      {res}-0.240    -1507.443    8.932e+09    3.895e+10       -0.752
        {txt}3 {c |}       {res}0.518     3259.920   -2.725e+09    3.622e+10       -0.699
        {txt}4 {c |}       {res}1.512     9507.530   -9.637e+09    2.658e+10       -0.513
        {txt}5 {c |}            {res}                -2.658e+10      100.000       -0.000
{txt}{hline 10}{c BT}{hline 64}
Share = quantile group share of total f1122008; 
L(p)=cumulative group share; GL(p)=L(p)*mean(f1122008)
(1,156 real changes made)
(1,156 real changes made)
Now calculating 12_2010

Principal components/correlation{col 50}Number of obs    = {res}     1,499
{col 50}{txt}Number of comp.  = {res}        11
{col 50}{txt}Trace            {col 67}=  {res}       11
{col 5}{txt}Rotation: (unrotated = principal){col 50}Rho              = {res}    1.0000

{txt}{col 5}{hline 13}{c TT}{hline 60}
{col 5}   Component {c |}   Eigenvalue   Difference         Proportion   Cumulative
{col 5}{hline 13}{c +}{hline 60}
{col 5}{ralign 12:Comp1} {c |}{res}      3.35886      1.83292             0.3054       0.3054
{txt}{col 5}{ralign 12:Comp2} {c |}{res}      1.52594      .462128             0.1387       0.4441
{txt}{col 5}{ralign 12:Comp3} {c |}{res}      1.06381      .196566             0.0967       0.5408
{txt}{col 5}{ralign 12:Comp4} {c |}{res}      .867246     .0754627             0.0788       0.6196
{txt}{col 5}{ralign 12:Comp5} {c |}{res}      .791783      .104311             0.0720       0.6916
{txt}{col 5}{ralign 12:Comp6} {c |}{res}      .687472     .0632945             0.0625       0.7541
{txt}{col 5}{ralign 12:Comp7} {c |}{res}      .624178     .0556509             0.0567       0.8108
{txt}{col 5}{ralign 12:Comp8} {c |}{res}      .568527     .0129811             0.0517       0.8625
{txt}{col 5}{ralign 12:Comp9} {c |}{res}      .555546     .0478378             0.0505       0.9130
{txt}{col 5}{ralign 12:Comp10} {c |}{res}      .507708     .0587795             0.0462       0.9592
{txt}{col 5}{ralign 12:Comp11} {c |}{res}      .448929            .             0.0408       1.0000
{txt}{col 5}{hline 13}{c BT}{hline 60}

Principal components (eigenvectors) 

{space 4}{hline 13}{c  TT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp1}{space 1}{space 1}{ralign 8:Comp2}{space 1}{space 1}{ralign 8:Comp3}{space 1}{space 1}{ralign 8:Comp4}{space 1}{space 1}{ralign 8:Comp5}{space 1}{space 1}{ralign 8:Comp6}{space 1}{space 1}{ralign 8:Comp7}{space 1}{space 1}{ralign 8:Comp8}{space 1}{space 1}{ralign 8:Comp9}{space 1}{space 1}{ralign 8:Comp10}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2468}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4100}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0814}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4206}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2123}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5313}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2066}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4304}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1247}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0945}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2836}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3182}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0672}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3197}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5219}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3861}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0471}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4898}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1849}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1176}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3528}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3379}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0267}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0031}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1581}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1757}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2432}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2299}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5435}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1509}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1858}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4486}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1596}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1602}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.7457}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0638}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1093}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1898}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2756}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1515}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3149}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3447}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2100}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2435}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0817}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2823}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1665}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4158}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5770}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0753}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3726}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1480}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0857}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0575}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0760}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5076}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3085}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3748}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1921}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5338}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3255}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2557}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2141}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0372}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1781}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1987}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.8350}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0861}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0431}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0190}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0138}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2834}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.7022}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5492}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2385}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2513}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0148}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0187}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0049}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0051}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2715}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1508}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5342}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4657}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0023}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2521}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1367}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3730}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0947}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4100}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3656}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1366}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2688}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3341}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0031}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1290}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0573}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1595}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3814}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.6873}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3849}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2956}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1212}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0321}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0187}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1160}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2042}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0175}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2297}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0066}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}

{space 4}{hline 13}{c  TT}{hline 10}{c  TT}{hline 13}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp11}{space 1}{c |}{space 1}{ralign 11:Unexplained}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{c   +}{hline 13}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0870}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0011}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.5240}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0780}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2302}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0879}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0579}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0641}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0531}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0246}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.8001}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{c  BT}{hline 13}
{txt}({bf:score} assumed)
(10 components skipped)

Scoring coefficients 
{col 5}sum of squares(column-loading) = 1

{space 4}{hline 13}{c  TT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp1}{space 1}{space 1}{ralign 8:Comp2}{space 1}{space 1}{ralign 8:Comp3}{space 1}{space 1}{ralign 8:Comp4}{space 1}{space 1}{ralign 8:Comp5}{space 1}{space 1}{ralign 8:Comp6}{space 1}{space 1}{ralign 8:Comp7}{space 1}{space 1}{ralign 8:Comp8}{space 1}{space 1}{ralign 8:Comp9}{space 1}{space 1}{ralign 8:Comp10}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2468}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4100}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0814}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4206}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2123}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5313}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2066}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4304}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1247}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0945}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2836}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3182}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0672}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3197}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5219}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3861}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0471}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4898}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1849}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1176}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3528}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3379}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0267}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0031}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1581}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1757}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2432}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2299}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5435}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1509}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1858}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4486}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1596}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1602}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.7457}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0638}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1093}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1898}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2756}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1515}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3149}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3447}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2100}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2435}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0817}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2823}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1665}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4158}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5770}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0753}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3726}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1480}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0857}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0575}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0760}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5076}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3085}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3748}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1921}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5338}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3255}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2557}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2141}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0372}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1781}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1987}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.8350}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0861}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0431}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0190}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0138}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2834}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.7022}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5492}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2385}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2513}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0148}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0187}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0049}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0051}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2715}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1508}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5342}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4657}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0023}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2521}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1367}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3730}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0947}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4100}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3656}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1366}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2688}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3341}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0031}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1290}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0573}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1595}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3814}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.6873}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3849}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2956}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1212}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0321}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0187}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1160}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2042}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0175}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2297}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0066}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}

{space 4}{hline 13}{c  TT}{hline 10}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp11}{space 1}
{space 4}{hline 13}{c   +}{hline 10}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0870}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0011}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.5240}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0780}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2302}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0879}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0579}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0641}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0531}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0246}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.8001}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}
 
Warning: f1122010 has 724 values < 0. Used in calculations
 
Distributional summary statistics, 5 quantile groups

{hline 10}{c TT}{hline 64}
Quantile  {c |}
group     {c |}    Quantile  % of median     Share, %      L(p), %        GL(p)
{hline 10}{c +}{hline 64}
        1 {c |}      {res}-1.345     -632.284    1.056e+10    1.056e+10       -0.524
        {txt}2 {c |}      {res}-0.545     -256.344    3.571e+09    1.413e+10       -0.702
        {txt}3 {c |}       {res}0.240      113.002   -2.245e+07    1.411e+10       -0.701
        {txt}4 {c |}       {res}1.641      771.587   -3.491e+09    1.062e+10       -0.527
        {txt}5 {c |}            {res}                -1.062e+10      100.000       -0.000
{txt}{hline 10}{c BT}{hline 64}
Share = quantile group share of total f1122010; 
L(p)=cumulative group share; GL(p)=L(p)*mean(f1122010)
(1,499 real changes made)
(1,499 real changes made)
Now calculating 12_2012

Principal components/correlation{col 50}Number of obs    = {res}     1,502
{col 50}{txt}Number of comp.  = {res}        11
{col 50}{txt}Trace            {col 67}=  {res}       11
{col 5}{txt}Rotation: (unrotated = principal){col 50}Rho              = {res}    1.0000

{txt}{col 5}{hline 13}{c TT}{hline 60}
{col 5}   Component {c |}   Eigenvalue   Difference         Proportion   Cumulative
{col 5}{hline 13}{c +}{hline 60}
{col 5}{ralign 12:Comp1} {c |}{res}      3.34023      1.78699             0.3037       0.3037
{txt}{col 5}{ralign 12:Comp2} {c |}{res}      1.55324      .520766             0.1412       0.4449
{txt}{col 5}{ralign 12:Comp3} {c |}{res}      1.03247      .157104             0.0939       0.5387
{txt}{col 5}{ralign 12:Comp4} {c |}{res}      .875368     .0924834             0.0796       0.6183
{txt}{col 5}{ralign 12:Comp5} {c |}{res}      .782884      .147357             0.0712       0.6895
{txt}{col 5}{ralign 12:Comp6} {c |}{res}      .635527     .0334058             0.0578       0.7472
{txt}{col 5}{ralign 12:Comp7} {c |}{res}      .602121     .0167518             0.0547       0.8020
{txt}{col 5}{ralign 12:Comp8} {c |}{res}      .585369     .0327506             0.0532       0.8552
{txt}{col 5}{ralign 12:Comp9} {c |}{res}      .552619     .0216711             0.0502       0.9054
{txt}{col 5}{ralign 12:Comp10} {c |}{res}      .530948     .0217247             0.0483       0.9537
{txt}{col 5}{ralign 12:Comp11} {c |}{res}      .509223            .             0.0463       1.0000
{txt}{col 5}{hline 13}{c BT}{hline 60}

Principal components (eigenvectors) 

{space 4}{hline 13}{c  TT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp1}{space 1}{space 1}{ralign 8:Comp2}{space 1}{space 1}{ralign 8:Comp3}{space 1}{space 1}{ralign 8:Comp4}{space 1}{space 1}{ralign 8:Comp5}{space 1}{space 1}{ralign 8:Comp6}{space 1}{space 1}{ralign 8:Comp7}{space 1}{space 1}{ralign 8:Comp8}{space 1}{space 1}{ralign 8:Comp9}{space 1}{space 1}{ralign 8:Comp10}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2685}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3921}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1781}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4135}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1420}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2192}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5949}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0434}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2155}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1371}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3033}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3828}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0571}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2260}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3473}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0661}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2572}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0627}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6223}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0719}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3220}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3397}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1568}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1456}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0523}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3568}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1296}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6884}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0626}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2623}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1984}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3908}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1575}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1744}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.8310}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1952}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1422}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0278}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0432}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0339}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3407}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2706}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2797}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1198}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0303}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0490}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0892}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.6463}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1087}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5242}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3611}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2215}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0051}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1132}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2873}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2102}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5623}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1132}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4048}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0883}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3371}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1712}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3033}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1608}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1283}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.6571}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4093}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2019}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2702}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0054}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0155}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4448}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4763}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6332}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0663}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3326}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1591}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0169}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0773}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0941}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2572}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0695}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.6028}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4936}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1941}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1308}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0095}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0074}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3190}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3136}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3764}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0290}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3467}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1686}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0491}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1403}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1461}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1026}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4266}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2703}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3531}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2766}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1867}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0185}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1465}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3955}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0673}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1934}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1488}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.6657}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}

{space 4}{hline 13}{c  TT}{hline 10}{c  TT}{hline 13}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp11}{space 1}{c |}{space 1}{ralign 11:Unexplained}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{c   +}{hline 13}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.2868}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3459}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2042}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0059}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0498}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.4247}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0982}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1365}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.2586}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.6323}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.2802}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{c  BT}{hline 13}
{txt}({bf:score} assumed)
(10 components skipped)

Scoring coefficients 
{col 5}sum of squares(column-loading) = 1

{space 4}{hline 13}{c  TT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp1}{space 1}{space 1}{ralign 8:Comp2}{space 1}{space 1}{ralign 8:Comp3}{space 1}{space 1}{ralign 8:Comp4}{space 1}{space 1}{ralign 8:Comp5}{space 1}{space 1}{ralign 8:Comp6}{space 1}{space 1}{ralign 8:Comp7}{space 1}{space 1}{ralign 8:Comp8}{space 1}{space 1}{ralign 8:Comp9}{space 1}{space 1}{ralign 8:Comp10}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2685}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3921}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1781}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4135}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1420}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2192}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5949}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0434}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2155}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1371}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3033}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3828}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0571}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2260}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3473}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0661}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2572}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0627}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6223}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0719}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3220}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3397}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1568}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1456}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0523}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3568}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1296}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6884}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0626}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2623}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1984}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3908}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1575}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1744}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.8310}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1952}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1422}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0278}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0432}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0339}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3407}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2706}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2797}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1198}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0303}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0490}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0892}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.6463}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1087}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5242}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3611}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2215}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0051}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1132}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2873}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2102}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5623}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1132}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4048}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0883}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3371}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1712}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3033}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1608}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1283}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.6571}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4093}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2019}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2702}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0054}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0155}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4448}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4763}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6332}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0663}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3326}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1591}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0169}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0773}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0941}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2572}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0695}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.6028}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4936}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1941}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1308}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0095}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0074}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3190}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3136}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3764}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0290}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3467}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1686}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0491}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1403}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1461}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1026}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4266}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2703}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3531}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2766}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1867}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0185}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1465}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3955}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0673}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1934}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1488}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.6657}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}

{space 4}{hline 13}{c  TT}{hline 10}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp11}{space 1}
{space 4}{hline 13}{c   +}{hline 10}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.2868}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3459}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2042}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0059}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0498}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.4247}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0982}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1365}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.2586}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.6323}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.2802}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}
 
Warning: f1122012 has 674 values < 0. Used in calculations
 
Distributional summary statistics, 5 quantile groups

{hline 10}{c TT}{hline 64}
Quantile  {c |}
group     {c |}    Quantile  % of median     Share, %      L(p), %        GL(p)
{hline 10}{c +}{hline 64}
        1 {c |}      {res}-1.478    -1266.078    4.188e+10    4.188e+10       -0.520
        {txt}2 {c |}      {res}-0.639     -547.377    1.527e+10    5.715e+10       -0.710
        {txt}3 {c |}       {res}0.167      143.422   -4.300e+08    5.672e+10       -0.705
        {txt}4 {c |}       {res}1.525     1306.241   -1.554e+10    4.118e+10       -0.512
        {txt}5 {c |}            {res}                -4.118e+10      100.000       -0.000
{txt}{hline 10}{c BT}{hline 64}
Share = quantile group share of total f1122012; 
L(p)=cumulative group share; GL(p)=L(p)*mean(f1122012)
(1,502 real changes made)
(1,502 real changes made)
Now calculating 12_2014

Principal components/correlation{col 50}Number of obs    = {res}     1,491
{col 50}{txt}Number of comp.  = {res}        11
{col 50}{txt}Trace            {col 67}=  {res}       11
{col 5}{txt}Rotation: (unrotated = principal){col 50}Rho              = {res}    1.0000

{txt}{col 5}{hline 13}{c TT}{hline 60}
{col 5}   Component {c |}   Eigenvalue   Difference         Proportion   Cumulative
{col 5}{hline 13}{c +}{hline 60}
{col 5}{ralign 12:Comp1} {c |}{res}      2.99654      1.55993             0.2724       0.2724
{txt}{col 5}{ralign 12:Comp2} {c |}{res}      1.43661      .409282             0.1306       0.4030
{txt}{col 5}{ralign 12:Comp3} {c |}{res}      1.02733      .155701             0.0934       0.4964
{txt}{col 5}{ralign 12:Comp4} {c |}{res}      .871631     .0598437             0.0792       0.5756
{txt}{col 5}{ralign 12:Comp5} {c |}{res}      .811787     .0639043             0.0738       0.6494
{txt}{col 5}{ralign 12:Comp6} {c |}{res}      .747883      .044177             0.0680       0.7174
{txt}{col 5}{ralign 12:Comp7} {c |}{res}      .703706     .0166745             0.0640       0.7814
{txt}{col 5}{ralign 12:Comp8} {c |}{res}      .687032     .0774449             0.0625       0.8439
{txt}{col 5}{ralign 12:Comp9} {c |}{res}      .609587     .0281039             0.0554       0.8993
{txt}{col 5}{ralign 12:Comp10} {c |}{res}      .581483     .0550799             0.0529       0.9521
{txt}{col 5}{ralign 12:Comp11} {c |}{res}      .526403            .             0.0479       1.0000
{txt}{col 5}{hline 13}{c BT}{hline 60}

Principal components (eigenvectors) 

{space 4}{hline 13}{c  TT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp1}{space 1}{space 1}{ralign 8:Comp2}{space 1}{space 1}{ralign 8:Comp3}{space 1}{space 1}{ralign 8:Comp4}{space 1}{space 1}{ralign 8:Comp5}{space 1}{space 1}{ralign 8:Comp6}{space 1}{space 1}{ralign 8:Comp7}{space 1}{space 1}{ralign 8:Comp8}{space 1}{space 1}{ralign 8:Comp9}{space 1}{space 1}{ralign 8:Comp10}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2665}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4213}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1851}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1601}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1293}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4415}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5312}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1026}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1777}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3880}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3207}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3168}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1486}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2902}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4497}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0541}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0519}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0612}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2832}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6309}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2882}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3512}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0176}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1504}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1073}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.7101}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4118}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1199}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0945}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0386}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1820}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4410}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0948}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1854}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.8259}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0782}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0362}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0186}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0721}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1706}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3339}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2466}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3655}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0491}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0231}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0537}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2997}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4755}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4865}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2051}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3621}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2010}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0725}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0116}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1394}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2402}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5415}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2791}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5588}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1669}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3416}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1937}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2426}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1624}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0053}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2463}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3200}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.6911}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2253}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0328}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0395}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4572}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5071}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5863}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1726}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2576}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1547}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1207}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1633}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0128}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2100}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0205}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.6405}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6513}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1450}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0148}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0432}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0408}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1751}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2386}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3907}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0062}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1752}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0243}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0615}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3143}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1593}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3822}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4081}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5410}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3903}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2368}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1964}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1892}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1132}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0721}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0872}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1643}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2250}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0011}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}

{space 4}{hline 13}{c  TT}{hline 10}{c  TT}{hline 13}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp11}{space 1}{c |}{space 1}{ralign 11:Unexplained}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{c   +}{hline 13}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0716}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0240}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2460}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0693}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3059}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.1867}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2606}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1645}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0932}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2877}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.7836}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{c  BT}{hline 13}
{txt}({bf:score} assumed)
(10 components skipped)

Scoring coefficients 
{col 5}sum of squares(column-loading) = 1

{space 4}{hline 13}{c  TT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp1}{space 1}{space 1}{ralign 8:Comp2}{space 1}{space 1}{ralign 8:Comp3}{space 1}{space 1}{ralign 8:Comp4}{space 1}{space 1}{ralign 8:Comp5}{space 1}{space 1}{ralign 8:Comp6}{space 1}{space 1}{ralign 8:Comp7}{space 1}{space 1}{ralign 8:Comp8}{space 1}{space 1}{ralign 8:Comp9}{space 1}{space 1}{ralign 8:Comp10}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2665}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4213}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1851}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1601}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1293}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4415}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5312}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1026}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1777}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3880}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3207}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3168}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1486}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2902}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4497}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0541}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0519}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0612}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2832}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6309}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2882}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3512}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0176}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1504}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1073}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.7101}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4118}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1199}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0945}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0386}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1820}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4410}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0948}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1854}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.8259}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0782}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0362}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0186}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0721}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1706}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3339}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2466}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3655}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0491}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0231}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0537}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2997}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4755}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4865}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2051}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3621}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2010}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0725}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0116}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1394}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2402}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5415}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2791}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5588}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1669}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3416}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1937}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2426}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1624}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0053}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2463}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3200}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.6911}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2253}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0328}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0395}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4572}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5071}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5863}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1726}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2576}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1547}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1207}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1633}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0128}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2100}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0205}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.6405}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6513}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1450}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0148}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0432}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0408}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1751}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2386}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3907}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0062}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1752}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0243}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0615}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3143}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1593}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3822}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4081}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5410}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3903}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2368}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1964}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1892}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1132}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0721}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0872}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1643}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2250}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0011}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}

{space 4}{hline 13}{c  TT}{hline 10}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp11}{space 1}
{space 4}{hline 13}{c   +}{hline 10}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0716}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0240}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2460}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0693}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3059}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.1867}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2606}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1645}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0932}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2877}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.7836}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}
 
Warning: f1122014 has 786 values < 0. Used in calculations
 
Distributional summary statistics, 5 quantile groups

{hline 10}{c TT}{hline 64}
Quantile  {c |}
group     {c |}    Quantile  % of median     Share, %      L(p), %        GL(p)
{hline 10}{c +}{hline 64}
        1 {c |}      {res}-1.414     3860.481    1.155e+10    1.155e+10       -0.517
        {txt}2 {c |}      {res}-0.143      391.376    3.507e+09    1.506e+10       -0.673
        {txt}3 {c |}       {res}0.599    -1634.688   -6.135e+08    1.444e+10       -0.646
        {txt}4 {c |}       {res}1.486    -4057.832   -4.413e+09    1.003e+10       -0.449
        {txt}5 {c |}            {res}                -1.003e+10      100.000       -0.000
{txt}{hline 10}{c BT}{hline 64}
Share = quantile group share of total f1122014; 
L(p)=cumulative group share; GL(p)=L(p)*mean(f1122014)
(1,491 real changes made)
(1,491 real changes made)
Now calculating 12_2016

Principal components/correlation{col 50}Number of obs    = {res}     1,500
{col 50}{txt}Number of comp.  = {res}        11
{col 50}{txt}Trace            {col 67}=  {res}       11
{col 5}{txt}Rotation: (unrotated = principal){col 50}Rho              = {res}    1.0000

{txt}{col 5}{hline 13}{c TT}{hline 60}
{col 5}   Component {c |}   Eigenvalue   Difference         Proportion   Cumulative
{col 5}{hline 13}{c +}{hline 60}
{col 5}{ralign 12:Comp1} {c |}{res}      2.85267      1.42625             0.2593       0.2593
{txt}{col 5}{ralign 12:Comp2} {c |}{res}      1.42642      .399709             0.1297       0.3890
{txt}{col 5}{ralign 12:Comp3} {c |}{res}      1.02671      .119446             0.0933       0.4823
{txt}{col 5}{ralign 12:Comp4} {c |}{res}      .907265     .0416411             0.0825       0.5648
{txt}{col 5}{ralign 12:Comp5} {c |}{res}      .865624      .097958             0.0787       0.6435
{txt}{col 5}{ralign 12:Comp6} {c |}{res}      .767666     .0603713             0.0698       0.7133
{txt}{col 5}{ralign 12:Comp7} {c |}{res}      .707294     .0361211             0.0643       0.7776
{txt}{col 5}{ralign 12:Comp8} {c |}{res}      .671173     .0432305             0.0610       0.8386
{txt}{col 5}{ralign 12:Comp9} {c |}{res}      .627943     .0380457             0.0571       0.8957
{txt}{col 5}{ralign 12:Comp10} {c |}{res}      .589897     .0325548             0.0536       0.9493
{txt}{col 5}{ralign 12:Comp11} {c |}{res}      .557342            .             0.0507       1.0000
{txt}{col 5}{hline 13}{c BT}{hline 60}

Principal components (eigenvectors) 

{space 4}{hline 13}{c  TT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp1}{space 1}{space 1}{ralign 8:Comp2}{space 1}{space 1}{ralign 8:Comp3}{space 1}{space 1}{ralign 8:Comp4}{space 1}{space 1}{ralign 8:Comp5}{space 1}{space 1}{ralign 8:Comp6}{space 1}{space 1}{ralign 8:Comp7}{space 1}{space 1}{ralign 8:Comp8}{space 1}{space 1}{ralign 8:Comp9}{space 1}{space 1}{ralign 8:Comp10}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2413}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3514}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1075}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4781}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2009}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6459}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3017}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0958}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1391}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0259}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3343}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3359}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0311}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1970}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2131}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3595}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3357}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1371}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0027}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.6499}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2874}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4051}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0035}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2066}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0003}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2487}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6330}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3776}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2851}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1221}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1782}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3719}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1436}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2347}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.8311}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1245}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0120}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1844}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0338}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1125}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3669}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3111}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2723}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0386}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1142}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0791}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0556}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2531}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0749}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1518}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3644}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2309}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1063}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0540}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3420}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3665}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1091}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1333}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1069}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.7091}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3656}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0677}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2603}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1361}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1933}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0322}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4059}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6628}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3016}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1494}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0198}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4679}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4122}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6082}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0515}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3603}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2880}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0240}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1531}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0162}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2504}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0850}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.6825}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3222}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1173}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2174}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1849}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0235}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5074}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0314}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3504}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0072}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3577}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3468}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0863}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1923}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3036}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0247}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.7012}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0015}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3588}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2834}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2237}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1339}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1796}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1433}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0798}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5221}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1324}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0024}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}

{space 4}{hline 13}{c  TT}{hline 10}{c  TT}{hline 13}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp11}{space 1}{c |}{space 1}{ralign 11:Unexplained}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{c   +}{hline 13}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0180}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0845}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0966}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0038}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.7602}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0675}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.1405}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0336}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0794}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0010}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.6112}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{c  BT}{hline 13}
{txt}({bf:score} assumed)
(10 components skipped)

Scoring coefficients 
{col 5}sum of squares(column-loading) = 1

{space 4}{hline 13}{c  TT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp1}{space 1}{space 1}{ralign 8:Comp2}{space 1}{space 1}{ralign 8:Comp3}{space 1}{space 1}{ralign 8:Comp4}{space 1}{space 1}{ralign 8:Comp5}{space 1}{space 1}{ralign 8:Comp6}{space 1}{space 1}{ralign 8:Comp7}{space 1}{space 1}{ralign 8:Comp8}{space 1}{space 1}{ralign 8:Comp9}{space 1}{space 1}{ralign 8:Comp10}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2413}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3514}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1075}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4781}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2009}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6459}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3017}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0958}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1391}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0259}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3343}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3359}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0311}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1970}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2131}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3595}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3357}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1371}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0027}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.6499}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2874}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4051}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0035}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2066}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0003}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2487}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6330}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3776}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2851}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1221}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1782}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3719}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1436}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2347}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.8311}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1245}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0120}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1844}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0338}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1125}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3669}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3111}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2723}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0386}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1142}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0791}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0556}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2531}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0749}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1518}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3644}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2309}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1063}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0540}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3420}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3665}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1091}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1333}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1069}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.7091}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3656}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0677}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2603}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1361}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1933}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0322}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4059}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6628}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3016}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1494}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0198}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4679}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4122}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6082}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0515}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3603}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2880}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0240}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1531}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0162}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2504}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0850}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.6825}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3222}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1173}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2174}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1849}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0235}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5074}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0314}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3504}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0072}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3577}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3468}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0863}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1923}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3036}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0247}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.7012}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0015}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3588}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2834}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2237}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1339}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1796}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1433}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0798}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5221}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1324}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0024}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}

{space 4}{hline 13}{c  TT}{hline 10}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp11}{space 1}
{space 4}{hline 13}{c   +}{hline 10}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0180}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0845}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0966}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0038}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.7602}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0675}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.1405}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0336}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0794}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0010}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.6112}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}
 
Warning: f1122016 has 807 values < 0. Used in calculations
 
Distributional summary statistics, 5 quantile groups

{hline 10}{c TT}{hline 64}
Quantile  {c |}
group     {c |}    Quantile  % of median     Share, %      L(p), %        GL(p)
{hline 10}{c +}{hline 64}
        1 {c |}      {res}-1.189     1513.716   -5.108e+09   -5.108e+09       -0.499
        {txt}2 {c |}      {res}-0.132      168.622   -1.480e+09   -6.588e+09       -0.643
        {txt}3 {c |}       {res}0.626     -796.700    4.890e+08   -6.099e+09       -0.595
        {txt}4 {c |}       {res}1.456    -1852.912    1.667e+09   -4.432e+09       -0.433
        {txt}5 {c |}            {res}                 4.432e+09      100.000        0.000
{txt}{hline 10}{c BT}{hline 64}
Share = quantile group share of total f1122016; 
L(p)=cumulative group share; GL(p)=L(p)*mean(f1122016)
(1,500 real changes made)
(1,500 real changes made)
Now calculating 13_2006

Principal components/correlation{col 50}Number of obs    = {res}     1,517
{col 50}{txt}Number of comp.  = {res}        11
{col 50}{txt}Trace            {col 67}=  {res}       11
{col 5}{txt}Rotation: (unrotated = principal){col 50}Rho              = {res}    1.0000

{txt}{col 5}{hline 13}{c TT}{hline 60}
{col 5}   Component {c |}   Eigenvalue   Difference         Proportion   Cumulative
{col 5}{hline 13}{c +}{hline 60}
{col 5}{ralign 12:Comp1} {c |}{res}      3.65702      2.14811             0.3325       0.3325
{txt}{col 5}{ralign 12:Comp2} {c |}{res}      1.50891      .444647             0.1372       0.4696
{txt}{col 5}{ralign 12:Comp3} {c |}{res}      1.06427      .108867             0.0968       0.5664
{txt}{col 5}{ralign 12:Comp4} {c |}{res}      .955398       .17581             0.0869       0.6532
{txt}{col 5}{ralign 12:Comp5} {c |}{res}      .779588       .13369             0.0709       0.7241
{txt}{col 5}{ralign 12:Comp6} {c |}{res}      .645898     .0591144             0.0587       0.7828
{txt}{col 5}{ralign 12:Comp7} {c |}{res}      .586784     .0554314             0.0533       0.8362
{txt}{col 5}{ralign 12:Comp8} {c |}{res}      .531353    .00860469             0.0483       0.8845
{txt}{col 5}{ralign 12:Comp9} {c |}{res}      .522748     .0742739             0.0475       0.9320
{txt}{col 5}{ralign 12:Comp10} {c |}{res}      .448474      .148918             0.0408       0.9728
{txt}{col 5}{ralign 12:Comp11} {c |}{res}      .299556            .             0.0272       1.0000
{txt}{col 5}{hline 13}{c BT}{hline 60}

Principal components (eigenvectors) 

{space 4}{hline 13}{c  TT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp1}{space 1}{space 1}{ralign 8:Comp2}{space 1}{space 1}{ralign 8:Comp3}{space 1}{space 1}{ralign 8:Comp4}{space 1}{space 1}{ralign 8:Comp5}{space 1}{space 1}{ralign 8:Comp6}{space 1}{space 1}{ralign 8:Comp7}{space 1}{space 1}{ralign 8:Comp8}{space 1}{space 1}{ralign 8:Comp9}{space 1}{space 1}{ralign 8:Comp10}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2840}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3509}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2446}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2788}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1633}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4372}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4868}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2026}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2442}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3073}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3436}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2676}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2360}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1618}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3560}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0378}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2247}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0046}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1115}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.7286}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3121}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2140}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3373}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2043}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3705}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1750}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3527}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4303}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4621}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0761}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2294}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0924}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6455}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0479}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5317}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1225}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1983}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2452}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3494}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0025}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2516}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4768}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0221}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1299}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0965}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5126}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4382}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3904}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2424}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1291}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3595}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2018}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1208}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0650}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2541}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3408}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5081}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2425}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0168}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5456}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3215}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2669}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0629}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2592}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2066}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5245}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2656}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.6019}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0273}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0061}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1015}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3307}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2012}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.8349}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0725}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2977}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1577}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1283}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0613}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0593}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3555}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3063}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3265}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0392}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4028}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0079}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0456}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0488}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0578}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0512}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3574}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2130}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4250}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0868}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3757}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0261}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0025}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0786}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0166}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1688}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3017}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4038}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0855}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2402}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0367}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1354}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0325}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3393}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.7246}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1410}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}

{space 4}{hline 13}{c  TT}{hline 10}{c  TT}{hline 13}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp11}{space 1}{c |}{space 1}{ralign 11:Unexplained}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{c   +}{hline 13}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0934}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0803}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0665}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0258}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0035}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.1248}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0535}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0193}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.7064}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.6797}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0023}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{c  BT}{hline 13}
{txt}({bf:score} assumed)
(10 components skipped)

Scoring coefficients 
{col 5}sum of squares(column-loading) = 1

{space 4}{hline 13}{c  TT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp1}{space 1}{space 1}{ralign 8:Comp2}{space 1}{space 1}{ralign 8:Comp3}{space 1}{space 1}{ralign 8:Comp4}{space 1}{space 1}{ralign 8:Comp5}{space 1}{space 1}{ralign 8:Comp6}{space 1}{space 1}{ralign 8:Comp7}{space 1}{space 1}{ralign 8:Comp8}{space 1}{space 1}{ralign 8:Comp9}{space 1}{space 1}{ralign 8:Comp10}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2840}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3509}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2446}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2788}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1633}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4372}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4868}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2026}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2442}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3073}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3436}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2676}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2360}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1618}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3560}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0378}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2247}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0046}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1115}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.7286}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3121}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2140}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3373}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2043}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3705}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1750}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3527}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4303}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4621}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0761}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2294}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0924}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6455}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0479}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5317}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1225}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1983}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2452}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3494}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0025}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2516}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4768}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0221}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1299}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0965}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5126}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4382}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3904}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2424}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1291}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3595}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2018}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1208}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0650}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2541}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3408}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5081}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2425}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0168}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5456}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3215}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2669}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0629}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2592}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2066}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5245}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2656}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.6019}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0273}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0061}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1015}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3307}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2012}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.8349}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0725}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2977}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1577}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1283}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0613}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0593}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3555}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3063}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3265}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0392}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4028}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0079}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0456}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0488}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0578}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0512}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3574}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2130}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4250}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0868}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3757}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0261}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0025}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0786}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0166}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1688}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3017}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4038}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0855}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2402}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0367}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1354}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0325}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3393}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.7246}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1410}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}

{space 4}{hline 13}{c  TT}{hline 10}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp11}{space 1}
{space 4}{hline 13}{c   +}{hline 10}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0934}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0803}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0665}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0258}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0035}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.1248}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0535}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0193}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.7064}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.6797}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0023}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}
 
Warning: f1132006 has 597 values < 0. Used in calculations
 
Distributional summary statistics, 5 quantile groups

{hline 10}{c TT}{hline 64}
Quantile  {c |}
group     {c |}    Quantile  % of median     Share, %      L(p), %        GL(p)
{hline 10}{c +}{hline 64}
        1 {c |}      {res}-0.945     -311.455    1.814e+10    1.814e+10       -0.620
        {txt}2 {c |}       {res}0.077       25.482    2.023e+09    2.016e+10       -0.689
        {txt}3 {c |}       {res}0.835      275.132   -2.787e+09    1.738e+10       -0.594
        {txt}4 {c |}       {res}1.464      482.290   -6.996e+09    1.038e+10       -0.355
        {txt}5 {c |}            {res}                -1.038e+10      100.000       -0.000
{txt}{hline 10}{c BT}{hline 64}
Share = quantile group share of total f1132006; 
L(p)=cumulative group share; GL(p)=L(p)*mean(f1132006)
(1,517 real changes made)
(1,517 real changes made)
Now calculating 13_2008

Principal components/correlation{col 50}Number of obs    = {res}     1,519
{col 50}{txt}Number of comp.  = {res}        11
{col 50}{txt}Trace            {col 67}=  {res}       11
{col 5}{txt}Rotation: (unrotated = principal){col 50}Rho              = {res}    1.0000

{txt}{col 5}{hline 13}{c TT}{hline 60}
{col 5}   Component {c |}   Eigenvalue   Difference         Proportion   Cumulative
{col 5}{hline 13}{c +}{hline 60}
{col 5}{ralign 12:Comp1} {c |}{res}      2.99698      1.57621             0.2725       0.2725
{txt}{col 5}{ralign 12:Comp2} {c |}{res}      1.42077      .293741             0.1292       0.4016
{txt}{col 5}{ralign 12:Comp3} {c |}{res}      1.12703      .192084             0.1025       0.5041
{txt}{col 5}{ralign 12:Comp4} {c |}{res}      .934944      .104687             0.0850       0.5891
{txt}{col 5}{ralign 12:Comp5} {c |}{res}      .830257     .0268073             0.0755       0.6645
{txt}{col 5}{ralign 12:Comp6} {c |}{res}       .80345     .0604695             0.0730       0.7376
{txt}{col 5}{ralign 12:Comp7} {c |}{res}       .74298     .0653286             0.0675       0.8051
{txt}{col 5}{ralign 12:Comp8} {c |}{res}      .677651      .119349             0.0616       0.8667
{txt}{col 5}{ralign 12:Comp9} {c |}{res}      .558302     .0698484             0.0508       0.9175
{txt}{col 5}{ralign 12:Comp10} {c |}{res}      .488454     .0692647             0.0444       0.9619
{txt}{col 5}{ralign 12:Comp11} {c |}{res}      .419189            .             0.0381       1.0000
{txt}{col 5}{hline 13}{c BT}{hline 60}

Principal components (eigenvectors) 

{space 4}{hline 13}{c  TT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp1}{space 1}{space 1}{ralign 8:Comp2}{space 1}{space 1}{ralign 8:Comp3}{space 1}{space 1}{ralign 8:Comp4}{space 1}{space 1}{ralign 8:Comp5}{space 1}{space 1}{ralign 8:Comp6}{space 1}{space 1}{ralign 8:Comp7}{space 1}{space 1}{ralign 8:Comp8}{space 1}{space 1}{ralign 8:Comp9}{space 1}{space 1}{ralign 8:Comp10}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1721}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3130}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4648}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1763}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0273}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.7721}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1250}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1027}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0342}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0024}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2492}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2750}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3208}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2688}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4324}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4809}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0291}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5156}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0200}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0406}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3762}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1442}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2648}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0491}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3735}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1415}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2847}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0512}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4819}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5380}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2150}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2120}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4739}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4373}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5411}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2003}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0506}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2337}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1328}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2903}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2723}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3603}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0828}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0413}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1985}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1605}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.8334}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0230}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1119}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1211}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3116}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1874}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3764}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0224}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1018}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2527}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0101}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.7991}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0464}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1001}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3872}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2286}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1351}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0343}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0339}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0067}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3413}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0294}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.8010}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1046}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1733}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2684}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0396}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.8108}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4459}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1031}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0659}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0566}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1455}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0277}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3166}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4411}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3425}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0659}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2564}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0344}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2067}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0376}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0542}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0459}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3469}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4070}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3095}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0757}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2491}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0063}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1448}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0743}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0421}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0240}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3857}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3335}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0701}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1796}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0486}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1041}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1438}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1272}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2578}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.7652}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}

{space 4}{hline 13}{c  TT}{hline 10}{c  TT}{hline 13}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp11}{space 1}{c |}{space 1}{ralign 11:Unexplained}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{c   +}{hline 13}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0314}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0111}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0154}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0308}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0019}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0229}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0856}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0079}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.6837}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.7222}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0277}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{c  BT}{hline 13}
{txt}({bf:score} assumed)
(10 components skipped)

Scoring coefficients 
{col 5}sum of squares(column-loading) = 1

{space 4}{hline 13}{c  TT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp1}{space 1}{space 1}{ralign 8:Comp2}{space 1}{space 1}{ralign 8:Comp3}{space 1}{space 1}{ralign 8:Comp4}{space 1}{space 1}{ralign 8:Comp5}{space 1}{space 1}{ralign 8:Comp6}{space 1}{space 1}{ralign 8:Comp7}{space 1}{space 1}{ralign 8:Comp8}{space 1}{space 1}{ralign 8:Comp9}{space 1}{space 1}{ralign 8:Comp10}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1721}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3130}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4648}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1763}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0273}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.7721}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1250}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1027}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0342}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0024}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2492}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2750}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3208}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2688}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4324}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4809}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0291}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5156}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0200}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0406}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3762}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1442}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2648}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0491}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3735}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1415}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2847}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0512}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4819}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5380}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2150}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2120}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4739}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4373}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5411}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2003}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0506}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2337}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1328}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2903}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2723}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3603}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0828}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0413}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1985}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1605}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.8334}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0230}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1119}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1211}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3116}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1874}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3764}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0224}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1018}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2527}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0101}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.7991}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0464}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1001}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3872}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2286}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1351}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0343}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0339}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0067}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3413}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0294}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.8010}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1046}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1733}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2684}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0396}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.8108}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4459}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1031}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0659}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0566}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1455}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0277}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3166}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4411}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3425}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0659}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2564}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0344}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2067}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0376}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0542}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0459}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3469}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4070}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3095}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0757}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2491}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0063}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1448}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0743}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0421}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0240}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3857}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3335}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0701}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1796}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0486}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1041}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1438}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1272}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2578}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.7652}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}

{space 4}{hline 13}{c  TT}{hline 10}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp11}{space 1}
{space 4}{hline 13}{c   +}{hline 10}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0314}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0111}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0154}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0308}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0019}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0229}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0856}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0079}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.6837}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.7222}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0277}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}
 
Warning: f1132008 has 715 values < 0. Used in calculations
 
Distributional summary statistics, 5 quantile groups

{hline 10}{c TT}{hline 64}
Quantile  {c |}
group     {c |}    Quantile  % of median     Share, %      L(p), %        GL(p)
{hline 10}{c +}{hline 64}
        1 {c |}      {res}-1.001     -375.507   -1.400e+10   -1.400e+10       -0.594
        {txt}2 {c |}      {res}-0.227      -85.256   -1.450e+09   -1.545e+10       -0.655
        {txt}3 {c |}       {res}0.539      202.122    1.131e+09   -1.432e+10       -0.608
        {txt}4 {c |}       {res}1.312      492.373    5.107e+09   -9.211e+09       -0.391
        {txt}5 {c |}            {res}                 9.211e+09      100.000        0.000
{txt}{hline 10}{c BT}{hline 64}
Share = quantile group share of total f1132008; 
L(p)=cumulative group share; GL(p)=L(p)*mean(f1132008)
(1,519 real changes made)
(1,519 real changes made)
Now calculating 13_2010

Principal components/correlation{col 50}Number of obs    = {res}     1,965
{col 50}{txt}Number of comp.  = {res}        11
{col 50}{txt}Trace            {col 67}=  {res}       11
{col 5}{txt}Rotation: (unrotated = principal){col 50}Rho              = {res}    1.0000

{txt}{col 5}{hline 13}{c TT}{hline 60}
{col 5}   Component {c |}   Eigenvalue   Difference         Proportion   Cumulative
{col 5}{hline 13}{c +}{hline 60}
{col 5}{ralign 12:Comp1} {c |}{res}      2.73777      1.29426             0.2489       0.2489
{txt}{col 5}{ralign 12:Comp2} {c |}{res}      1.44352      .231688             0.1312       0.3801
{txt}{col 5}{ralign 12:Comp3} {c |}{res}      1.21183      .228109             0.1102       0.4903
{txt}{col 5}{ralign 12:Comp4} {c |}{res}      .983721     .0127328             0.0894       0.5797
{txt}{col 5}{ralign 12:Comp5} {c |}{res}      .970988      .132053             0.0883       0.6680
{txt}{col 5}{ralign 12:Comp6} {c |}{res}      .838935       .16734             0.0763       0.7443
{txt}{col 5}{ralign 12:Comp7} {c |}{res}      .671595     .0414336             0.0611       0.8053
{txt}{col 5}{ralign 12:Comp8} {c |}{res}      .630161     .0448279             0.0573       0.8626
{txt}{col 5}{ralign 12:Comp9} {c |}{res}      .585333     .0457151             0.0532       0.9158
{txt}{col 5}{ralign 12:Comp10} {c |}{res}      .539618      .153094             0.0491       0.9649
{txt}{col 5}{ralign 12:Comp11} {c |}{res}      .386525            .             0.0351       1.0000
{txt}{col 5}{hline 13}{c BT}{hline 60}

Principal components (eigenvectors) 

{space 4}{hline 13}{c  TT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp1}{space 1}{space 1}{ralign 8:Comp2}{space 1}{space 1}{ralign 8:Comp3}{space 1}{space 1}{ralign 8:Comp4}{space 1}{space 1}{ralign 8:Comp5}{space 1}{space 1}{ralign 8:Comp6}{space 1}{space 1}{ralign 8:Comp7}{space 1}{space 1}{ralign 8:Comp8}{space 1}{space 1}{ralign 8:Comp9}{space 1}{space 1}{ralign 8:Comp10}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1156}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2137}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6133}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3288}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1738}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4213}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1176}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4811}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0507}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0071}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2719}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1973}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5450}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0980}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0706}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1790}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0170}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.7142}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1714}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0095}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3657}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0538}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1611}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2220}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4663}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1921}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1492}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1043}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5870}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3942}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1647}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3194}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2300}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.6304}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4571}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0843}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1232}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0452}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2136}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3762}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3094}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3869}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0071}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2048}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0953}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1700}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.8025}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0008}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1145}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0539}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3124}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0857}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2345}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2081}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2244}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6789}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1872}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4262}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2196}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1433}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.4001}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1981}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0933}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0283}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2416}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0175}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3284}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2296}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.7014}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2824}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1436}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2873}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1382}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5608}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5326}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4225}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2949}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0211}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1169}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0004}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3188}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4957}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2989}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0821}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2425}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0710}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0138}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0361}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0028}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0069}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3406}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4617}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2680}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0608}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2766}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0400}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1572}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0435}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0479}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0543}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.4001}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2697}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0634}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1568}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0409}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2668}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2227}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0869}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0924}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.7725}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}

{space 4}{hline 13}{c  TT}{hline 10}{c  TT}{hline 13}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp11}{space 1}{c |}{space 1}{ralign 11:Unexplained}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{c   +}{hline 13}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0338}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0604}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0251}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0113}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1204}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0012}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0124}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0020}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.7008}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.6967}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0574}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{c  BT}{hline 13}
{txt}({bf:score} assumed)
(10 components skipped)

Scoring coefficients 
{col 5}sum of squares(column-loading) = 1

{space 4}{hline 13}{c  TT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp1}{space 1}{space 1}{ralign 8:Comp2}{space 1}{space 1}{ralign 8:Comp3}{space 1}{space 1}{ralign 8:Comp4}{space 1}{space 1}{ralign 8:Comp5}{space 1}{space 1}{ralign 8:Comp6}{space 1}{space 1}{ralign 8:Comp7}{space 1}{space 1}{ralign 8:Comp8}{space 1}{space 1}{ralign 8:Comp9}{space 1}{space 1}{ralign 8:Comp10}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1156}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2137}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6133}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3288}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1738}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4213}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1176}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4811}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0507}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0071}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2719}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1973}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5450}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0980}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0706}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1790}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0170}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.7142}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1714}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0095}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3657}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0538}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1611}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2220}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4663}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1921}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1492}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1043}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5870}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3942}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1647}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3194}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2300}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.6304}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4571}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0843}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1232}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0452}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2136}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3762}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3094}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3869}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0071}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2048}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0953}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1700}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.8025}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0008}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1145}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0539}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3124}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0857}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2345}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2081}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2244}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6789}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1872}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4262}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2196}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1433}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.4001}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1981}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0933}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0283}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2416}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0175}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3284}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2296}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.7014}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2824}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1436}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2873}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1382}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5608}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5326}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4225}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2949}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0211}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1169}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0004}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3188}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4957}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2989}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0821}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2425}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0710}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0138}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0361}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0028}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0069}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3406}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4617}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2680}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0608}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2766}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0400}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1572}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0435}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0479}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0543}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.4001}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2697}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0634}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1568}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0409}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2668}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2227}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0869}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0924}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.7725}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}

{space 4}{hline 13}{c  TT}{hline 10}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp11}{space 1}
{space 4}{hline 13}{c   +}{hline 10}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0338}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0604}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0251}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0113}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1204}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0012}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0124}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0020}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.7008}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.6967}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0574}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}
 
Warning: f1132010 has 853 values < 0. Used in calculations
 
Distributional summary statistics, 5 quantile groups

{hline 10}{c TT}{hline 64}
Quantile  {c |}
group     {c |}    Quantile  % of median     Share, %      L(p), %        GL(p)
{hline 10}{c +}{hline 64}
        1 {c |}      {res}-1.186     -338.046   -1.158e+10   -1.158e+10       -0.541
        {txt}2 {c |}      {res}-0.371     -105.659   -1.921e+09   -1.350e+10       -0.631
        {txt}3 {c |}       {res}0.430      122.679    1.162e+09   -1.234e+10       -0.576
        {txt}4 {c |}       {res}1.666      474.921    9.352e+09   -2.983e+09       -0.139
        {txt}5 {c |}            {res}                 2.983e+09      100.000        0.000
{txt}{hline 10}{c BT}{hline 64}
Share = quantile group share of total f1132010; 
L(p)=cumulative group share; GL(p)=L(p)*mean(f1132010)
(1,965 real changes made)
(1,965 real changes made)
Now calculating 13_2012

Principal components/correlation{col 50}Number of obs    = {res}     1,571
{col 50}{txt}Number of comp.  = {res}        11
{col 50}{txt}Trace            {col 67}=  {res}       11
{col 5}{txt}Rotation: (unrotated = principal){col 50}Rho              = {res}    1.0000

{txt}{col 5}{hline 13}{c TT}{hline 60}
{col 5}   Component {c |}   Eigenvalue   Difference         Proportion   Cumulative
{col 5}{hline 13}{c +}{hline 60}
{col 5}{ralign 12:Comp1} {c |}{res}      2.80747      1.39893             0.2552       0.2552
{txt}{col 5}{ralign 12:Comp2} {c |}{res}      1.40854       .32409             0.1280       0.3833
{txt}{col 5}{ralign 12:Comp3} {c |}{res}      1.08445     .0727188             0.0986       0.4819
{txt}{col 5}{ralign 12:Comp4} {c |}{res}      1.01173      .133477             0.0920       0.5738
{txt}{col 5}{ralign 12:Comp5} {c |}{res}      .878251     .0613873             0.0798       0.6537
{txt}{col 5}{ralign 12:Comp6} {c |}{res}      .816864      .129342             0.0743       0.7279
{txt}{col 5}{ralign 12:Comp7} {c |}{res}      .687522     .0595406             0.0625       0.7904
{txt}{col 5}{ralign 12:Comp8} {c |}{res}      .627981     .0116652             0.0571       0.8475
{txt}{col 5}{ralign 12:Comp9} {c |}{res}      .616316     .0595244             0.0560       0.9036
{txt}{col 5}{ralign 12:Comp10} {c |}{res}      .556791     .0526972             0.0506       0.9542
{txt}{col 5}{ralign 12:Comp11} {c |}{res}      .504094            .             0.0458       1.0000
{txt}{col 5}{hline 13}{c BT}{hline 60}

Principal components (eigenvectors) 

{space 4}{hline 13}{c  TT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp1}{space 1}{space 1}{ralign 8:Comp2}{space 1}{space 1}{ralign 8:Comp3}{space 1}{space 1}{ralign 8:Comp4}{space 1}{space 1}{ralign 8:Comp5}{space 1}{space 1}{ralign 8:Comp6}{space 1}{space 1}{ralign 8:Comp7}{space 1}{space 1}{ralign 8:Comp8}{space 1}{space 1}{ralign 8:Comp9}{space 1}{space 1}{ralign 8:Comp10}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1110}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3666}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0027}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6644}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1639}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5886}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0089}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0391}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1712}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0007}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2612}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4303}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2452}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2148}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3202}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2690}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0121}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1591}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.6567}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0931}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3797}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1586}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2950}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0768}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2444}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2886}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0919}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5442}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0340}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1202}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2032}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0832}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6065}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1781}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6493}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0329}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0664}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2152}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0559}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0021}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3322}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3878}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0237}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2663}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0359}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0651}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2552}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.6497}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1708}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0329}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3311}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2478}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2888}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0438}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4199}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2352}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1868}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1795}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6015}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2858}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3997}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1703}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1150}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2189}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1178}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2558}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2780}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0873}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0479}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.7375}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2151}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3697}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1411}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5026}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2193}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4839}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3319}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3220}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1205}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0282}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2393}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3372}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4543}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2449}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3360}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0213}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5478}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2534}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1845}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1805}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2814}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3324}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3970}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0845}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1850}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2966}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.6100}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0078}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2345}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2663}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.4143}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2163}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0622}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1850}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0504}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2218}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1652}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0285}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1956}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4958}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}

{space 4}{hline 13}{c  TT}{hline 10}{c  TT}{hline 13}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp11}{space 1}{c |}{space 1}{ralign 11:Unexplained}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{c   +}{hline 13}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0871}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0059}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.5240}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2751}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3805}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0395}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.1990}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.1821}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1353}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.1587}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.6161}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{c  BT}{hline 13}
{txt}({bf:score} assumed)
(10 components skipped)

Scoring coefficients 
{col 5}sum of squares(column-loading) = 1

{space 4}{hline 13}{c  TT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp1}{space 1}{space 1}{ralign 8:Comp2}{space 1}{space 1}{ralign 8:Comp3}{space 1}{space 1}{ralign 8:Comp4}{space 1}{space 1}{ralign 8:Comp5}{space 1}{space 1}{ralign 8:Comp6}{space 1}{space 1}{ralign 8:Comp7}{space 1}{space 1}{ralign 8:Comp8}{space 1}{space 1}{ralign 8:Comp9}{space 1}{space 1}{ralign 8:Comp10}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1110}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3666}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0027}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6644}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1639}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5886}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0089}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0391}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1712}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0007}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2612}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4303}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2452}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2148}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3202}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2690}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0121}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1591}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.6567}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0931}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3797}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1586}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2950}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0768}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2444}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2886}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0919}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5442}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0340}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1202}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2032}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0832}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6065}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1781}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6493}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0329}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0664}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2152}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0559}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0021}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3322}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3878}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0237}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2663}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0359}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0651}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2552}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.6497}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1708}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0329}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3311}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2478}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2888}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0438}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4199}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2352}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1868}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1795}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6015}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2858}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3997}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1703}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1150}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2189}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1178}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2558}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2780}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0873}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0479}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.7375}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2151}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3697}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1411}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5026}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2193}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4839}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3319}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3220}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1205}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0282}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2393}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3372}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4543}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2449}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3360}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0213}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5478}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2534}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1845}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1805}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2814}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3324}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3970}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0845}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1850}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2966}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.6100}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0078}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2345}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2663}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.4143}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2163}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0622}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1850}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0504}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2218}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1652}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0285}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1956}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4958}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}

{space 4}{hline 13}{c  TT}{hline 10}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp11}{space 1}
{space 4}{hline 13}{c   +}{hline 10}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0871}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0059}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.5240}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2751}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3805}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0395}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.1990}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.1821}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1353}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.1587}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.6161}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}
 
Warning: f1132012 has 731 values < 0. Used in calculations
 
Distributional summary statistics, 5 quantile groups

{hline 10}{c TT}{hline 64}
Quantile  {c |}
group     {c |}    Quantile  % of median     Share, %      L(p), %        GL(p)
{hline 10}{c +}{hline 64}
        1 {c |}      {res}-1.341     -534.596    5.123e+09    5.123e+09       -0.539
        {txt}2 {c |}      {res}-0.507     -202.003    1.083e+09    6.206e+09       -0.653
        {txt}3 {c |}       {res}0.747      297.581   -3.953e+08    5.811e+09       -0.611
        {txt}4 {c |}       {res}1.581      630.174   -3.687e+09    2.123e+09       -0.223
        {txt}5 {c |}            {res}                -2.123e+09      100.000       -0.000
{txt}{hline 10}{c BT}{hline 64}
Share = quantile group share of total f1132012; 
L(p)=cumulative group share; GL(p)=L(p)*mean(f1132012)
(1,571 real changes made)
(1,571 real changes made)
Now calculating 13_2014

Principal components/correlation{col 50}Number of obs    = {res}     1,509
{col 50}{txt}Number of comp.  = {res}        11
{col 50}{txt}Trace            {col 67}=  {res}       11
{col 5}{txt}Rotation: (unrotated = principal){col 50}Rho              = {res}    1.0000

{txt}{col 5}{hline 13}{c TT}{hline 60}
{col 5}   Component {c |}   Eigenvalue   Difference         Proportion   Cumulative
{col 5}{hline 13}{c +}{hline 60}
{col 5}{ralign 12:Comp1} {c |}{res}      2.60033      1.12413             0.2364       0.2364
{txt}{col 5}{ralign 12:Comp2} {c |}{res}       1.4762      .303782             0.1342       0.3706
{txt}{col 5}{ralign 12:Comp3} {c |}{res}      1.17242       .11808             0.1066       0.4772
{txt}{col 5}{ralign 12:Comp4} {c |}{res}      1.05434      .126978             0.0958       0.5730
{txt}{col 5}{ralign 12:Comp5} {c |}{res}       .92736      .122234             0.0843       0.6573
{txt}{col 5}{ralign 12:Comp6} {c |}{res}      .805126     .0647291             0.0732       0.7305
{txt}{col 5}{ralign 12:Comp7} {c |}{res}      .740397     .0815667             0.0673       0.7978
{txt}{col 5}{ralign 12:Comp8} {c |}{res}       .65883     .0609601             0.0599       0.8577
{txt}{col 5}{ralign 12:Comp9} {c |}{res}       .59787      .021863             0.0544       0.9121
{txt}{col 5}{ralign 12:Comp10} {c |}{res}      .576007      .184885             0.0524       0.9644
{txt}{col 5}{ralign 12:Comp11} {c |}{res}      .391122            .             0.0356       1.0000
{txt}{col 5}{hline 13}{c BT}{hline 60}

Principal components (eigenvectors) 

{space 4}{hline 13}{c  TT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp1}{space 1}{space 1}{ralign 8:Comp2}{space 1}{space 1}{ralign 8:Comp3}{space 1}{space 1}{ralign 8:Comp4}{space 1}{space 1}{ralign 8:Comp5}{space 1}{space 1}{ralign 8:Comp6}{space 1}{space 1}{ralign 8:Comp7}{space 1}{space 1}{ralign 8:Comp8}{space 1}{space 1}{ralign 8:Comp9}{space 1}{space 1}{ralign 8:Comp10}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1589}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0961}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6026}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1868}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3574}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6044}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1083}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0516}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1639}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1821}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2473}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1988}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4451}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0922}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1852}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.6886}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3576}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1569}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0832}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1292}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2814}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2195}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1781}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5810}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0493}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0390}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2315}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5830}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2903}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1456}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1153}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2776}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3848}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6250}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2975}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0217}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2347}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3944}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2449}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0365}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2668}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4164}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0815}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0012}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1093}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2885}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.7626}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0415}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2070}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1646}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.4158}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2359}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1088}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0924}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1197}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0347}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0065}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3623}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4156}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.6264}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3762}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2829}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0118}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1251}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0405}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2007}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3936}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5255}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1392}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5160}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0424}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2436}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3012}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3841}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.8268}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0679}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0371}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0989}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0012}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0340}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3662}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4086}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3081}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1303}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0923}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0827}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0564}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2145}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2496}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2583}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.4083}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3717}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2339}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1979}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1039}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1442}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0794}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0976}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0285}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1178}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3646}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3905}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0055}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0223}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1271}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0396}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0652}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0538}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.7238}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4001}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}

{space 4}{hline 13}{c  TT}{hline 10}{c  TT}{hline 13}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp11}{space 1}{c |}{space 1}{ralign 11:Unexplained}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{c   +}{hline 13}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0042}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0902}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0213}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1004}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0182}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1975}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0633}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0080}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.6273}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.7342}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0729}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{c  BT}{hline 13}
{txt}({bf:score} assumed)
(10 components skipped)

Scoring coefficients 
{col 5}sum of squares(column-loading) = 1

{space 4}{hline 13}{c  TT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp1}{space 1}{space 1}{ralign 8:Comp2}{space 1}{space 1}{ralign 8:Comp3}{space 1}{space 1}{ralign 8:Comp4}{space 1}{space 1}{ralign 8:Comp5}{space 1}{space 1}{ralign 8:Comp6}{space 1}{space 1}{ralign 8:Comp7}{space 1}{space 1}{ralign 8:Comp8}{space 1}{space 1}{ralign 8:Comp9}{space 1}{space 1}{ralign 8:Comp10}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1589}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0961}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6026}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1868}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3574}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6044}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1083}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0516}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1639}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1821}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2473}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1988}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4451}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0922}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1852}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.6886}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3576}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1569}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0832}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1292}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2814}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2195}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1781}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5810}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0493}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0390}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2315}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5830}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2903}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1456}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1153}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2776}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3848}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6250}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2975}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0217}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2347}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3944}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2449}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0365}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2668}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4164}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0815}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0012}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1093}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2885}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.7626}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0415}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2070}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1646}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.4158}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2359}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1088}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0924}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1197}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0347}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0065}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3623}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4156}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.6264}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3762}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2829}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0118}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1251}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0405}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2007}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3936}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5255}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1392}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5160}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0424}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2436}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3012}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3841}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.8268}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0679}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0371}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0989}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0012}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0340}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3662}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4086}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3081}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1303}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0923}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0827}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0564}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2145}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2496}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2583}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.4083}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3717}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2339}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1979}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1039}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1442}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0794}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0976}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0285}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1178}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3646}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3905}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0055}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0223}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1271}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0396}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0652}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0538}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.7238}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4001}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}

{space 4}{hline 13}{c  TT}{hline 10}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp11}{space 1}
{space 4}{hline 13}{c   +}{hline 10}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0042}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0902}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0213}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1004}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0182}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1975}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0633}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0080}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.6273}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.7342}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0729}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}
 
Warning: f1132014 has 558 values < 0. Used in calculations
 
Distributional summary statistics, 5 quantile groups

{hline 10}{c TT}{hline 64}
Quantile  {c |}
group     {c |}    Quantile  % of median     Share, %      L(p), %        GL(p)
{hline 10}{c +}{hline 64}
        1 {c |}      {res}-0.760     -207.195   -6.567e+09   -6.567e+09       -0.481
        {txt}2 {c |}       {res}0.071       19.250   -7.559e+08   -7.323e+09       -0.536
        {txt}3 {c |}       {res}0.636      173.496    9.558e+08   -6.367e+09       -0.466
        {txt}4 {c |}       {res}1.026      279.686    2.467e+09   -3.900e+09       -0.286
        {txt}5 {c |}            {res}                 3.900e+09      100.000        0.000
{txt}{hline 10}{c BT}{hline 64}
Share = quantile group share of total f1132014; 
L(p)=cumulative group share; GL(p)=L(p)*mean(f1132014)
(1,509 real changes made)
(1,509 real changes made)
Now calculating 13_2016

Principal components/correlation{col 50}Number of obs    = {res}     1,609
{col 50}{txt}Number of comp.  = {res}        11
{col 50}{txt}Trace            {col 67}=  {res}       11
{col 5}{txt}Rotation: (unrotated = principal){col 50}Rho              = {res}    1.0000

{txt}{col 5}{hline 13}{c TT}{hline 60}
{col 5}   Component {c |}   Eigenvalue   Difference         Proportion   Cumulative
{col 5}{hline 13}{c +}{hline 60}
{col 5}{ralign 12:Comp1} {c |}{res}      2.17002      .927619             0.1973       0.1973
{txt}{col 5}{ralign 12:Comp2} {c |}{res}       1.2424     .0409439             0.1129       0.3102
{txt}{col 5}{ralign 12:Comp3} {c |}{res}      1.20146      .169823             0.1092       0.4194
{txt}{col 5}{ralign 12:Comp4} {c |}{res}      1.03163     .0602991             0.0938       0.5132
{txt}{col 5}{ralign 12:Comp5} {c |}{res}      .971333      .103279             0.0883       0.6015
{txt}{col 5}{ralign 12:Comp6} {c |}{res}      .868055     .0689791             0.0789       0.6804
{txt}{col 5}{ralign 12:Comp7} {c |}{res}      .799075     .0331112             0.0726       0.7531
{txt}{col 5}{ralign 12:Comp8} {c |}{res}      .765964     .0650273             0.0696       0.8227
{txt}{col 5}{ralign 12:Comp9} {c |}{res}      .700937     .0657529             0.0637       0.8864
{txt}{col 5}{ralign 12:Comp10} {c |}{res}      .635184     .0212379             0.0577       0.9442
{txt}{col 5}{ralign 12:Comp11} {c |}{res}      .613946            .             0.0558       1.0000
{txt}{col 5}{hline 13}{c BT}{hline 60}

Principal components (eigenvectors) 

{space 4}{hline 13}{c  TT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp1}{space 1}{space 1}{ralign 8:Comp2}{space 1}{space 1}{ralign 8:Comp3}{space 1}{space 1}{ralign 8:Comp4}{space 1}{space 1}{ralign 8:Comp5}{space 1}{space 1}{ralign 8:Comp6}{space 1}{space 1}{ralign 8:Comp7}{space 1}{space 1}{ralign 8:Comp8}{space 1}{space 1}{ralign 8:Comp9}{space 1}{space 1}{ralign 8:Comp10}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1778}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2188}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5066}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1158}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1654}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6943}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2410}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1229}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2406}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0232}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2921}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0369}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4909}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0289}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1928}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5458}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1105}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1074}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4221}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3061}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2849}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0498}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1577}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5800}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1260}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2129}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6297}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2838}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0168}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0897}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1511}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2734}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0063}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6413}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5446}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1332}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1971}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2472}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2315}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0818}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3575}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2718}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2747}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0654}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1246}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0364}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5308}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4219}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2664}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3992}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3678}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0833}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4221}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1622}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0417}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1283}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1866}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0028}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.6941}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3343}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3972}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0847}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1969}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0217}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1869}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0608}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0289}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.7991}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0467}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3278}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1177}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1050}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3237}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4066}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.7449}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1503}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3460}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0385}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0796}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0045}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2820}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5922}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0088}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1623}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0937}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3101}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0288}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0858}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1223}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1854}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2822}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.6324}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0146}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0709}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0521}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0523}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1090}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0785}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1997}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1156}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.4304}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1545}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2829}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1019}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0677}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1181}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2111}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0094}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3066}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.6817}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}

{space 4}{hline 13}{c  TT}{hline 10}{c  TT}{hline 13}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp11}{space 1}{c |}{space 1}{ralign 11:Unexplained}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{c   +}{hline 13}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0969}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.2020}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0920}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1289}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1082}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0827}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0904}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0089}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.6172}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.6621}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.2804}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{c  BT}{hline 13}
{txt}({bf:score} assumed)
(10 components skipped)

Scoring coefficients 
{col 5}sum of squares(column-loading) = 1

{space 4}{hline 13}{c  TT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp1}{space 1}{space 1}{ralign 8:Comp2}{space 1}{space 1}{ralign 8:Comp3}{space 1}{space 1}{ralign 8:Comp4}{space 1}{space 1}{ralign 8:Comp5}{space 1}{space 1}{ralign 8:Comp6}{space 1}{space 1}{ralign 8:Comp7}{space 1}{space 1}{ralign 8:Comp8}{space 1}{space 1}{ralign 8:Comp9}{space 1}{space 1}{ralign 8:Comp10}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1778}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2188}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5066}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1158}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1654}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6943}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2410}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1229}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2406}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0232}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2921}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0369}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4909}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0289}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1928}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5458}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1105}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1074}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4221}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3061}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2849}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0498}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1577}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5800}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1260}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2129}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6297}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2838}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0168}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0897}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1511}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2734}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0063}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6413}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5446}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1332}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1971}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2472}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2315}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0818}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3575}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2718}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2747}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0654}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1246}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0364}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5308}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4219}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2664}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3992}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3678}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0833}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4221}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1622}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0417}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1283}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1866}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0028}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.6941}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3343}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3972}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0847}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1969}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0217}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1869}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0608}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0289}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.7991}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0467}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3278}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1177}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1050}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3237}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4066}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.7449}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1503}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3460}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0385}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0796}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0045}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2820}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5922}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0088}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1623}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0937}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3101}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0288}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0858}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1223}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1854}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2822}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.6324}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0146}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0709}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0521}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0523}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1090}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0785}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1997}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1156}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.4304}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1545}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2829}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1019}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0677}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1181}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2111}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0094}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3066}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.6817}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}

{space 4}{hline 13}{c  TT}{hline 10}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp11}{space 1}
{space 4}{hline 13}{c   +}{hline 10}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0969}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.2020}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0920}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1289}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1082}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0827}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0904}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0089}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.6172}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.6621}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.2804}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}
 
Warning: f1132016 has 656 values < 0. Used in calculations
 
Distributional summary statistics, 5 quantile groups

{hline 10}{c TT}{hline 64}
Quantile  {c |}
group     {c |}    Quantile  % of median     Share, %      L(p), %        GL(p)
{hline 10}{c +}{hline 64}
        1 {c |}      {res}-0.870     -250.275   -5.484e+09   -5.484e+09       -0.456
        {txt}2 {c |}      {res}-0.023       -6.657   -9.851e+08   -6.469e+09       -0.537
        {txt}3 {c |}       {res}0.566      162.994    6.298e+08   -5.839e+09       -0.485
        {txt}4 {c |}       {res}0.937      269.651    1.988e+09   -3.851e+09       -0.320
        {txt}5 {c |}            {res}                 3.851e+09      100.000        0.000
{txt}{hline 10}{c BT}{hline 64}
Share = quantile group share of total f1132016; 
L(p)=cumulative group share; GL(p)=L(p)*mean(f1132016)
(1,609 real changes made)
(1,609 real changes made)
Now calculating 14_2006

Principal components/correlation{col 50}Number of obs    = {res}     1,200
{col 50}{txt}Number of comp.  = {res}        11
{col 50}{txt}Trace            {col 67}=  {res}       11
{col 5}{txt}Rotation: (unrotated = principal){col 50}Rho              = {res}    1.0000

{txt}{col 5}{hline 13}{c TT}{hline 60}
{col 5}   Component {c |}   Eigenvalue   Difference         Proportion   Cumulative
{col 5}{hline 13}{c +}{hline 60}
{col 5}{ralign 12:Comp1} {c |}{res}      3.03091      1.61515             0.2755       0.2755
{txt}{col 5}{ralign 12:Comp2} {c |}{res}      1.41576      .219227             0.1287       0.4042
{txt}{col 5}{ralign 12:Comp3} {c |}{res}      1.19654      .233139             0.1088       0.5130
{txt}{col 5}{ralign 12:Comp4} {c |}{res}      .963399     .0990784             0.0876       0.6006
{txt}{col 5}{ralign 12:Comp5} {c |}{res}       .86432      .168979             0.0786       0.6792
{txt}{col 5}{ralign 12:Comp6} {c |}{res}      .695341      .040594             0.0632       0.7424
{txt}{col 5}{ralign 12:Comp7} {c |}{res}      .654747     .0278174             0.0595       0.8019
{txt}{col 5}{ralign 12:Comp8} {c |}{res}       .62693     .0530489             0.0570       0.8589
{txt}{col 5}{ralign 12:Comp9} {c |}{res}      .573881     .0641048             0.0522       0.9111
{txt}{col 5}{ralign 12:Comp10} {c |}{res}      .509776     .0413846             0.0463       0.9574
{txt}{col 5}{ralign 12:Comp11} {c |}{res}      .468392            .             0.0426       1.0000
{txt}{col 5}{hline 13}{c BT}{hline 60}

Principal components (eigenvectors) 

{space 4}{hline 13}{c  TT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp1}{space 1}{space 1}{ralign 8:Comp2}{space 1}{space 1}{ralign 8:Comp3}{space 1}{space 1}{ralign 8:Comp4}{space 1}{space 1}{ralign 8:Comp5}{space 1}{space 1}{ralign 8:Comp6}{space 1}{space 1}{ralign 8:Comp7}{space 1}{space 1}{ralign 8:Comp8}{space 1}{space 1}{ralign 8:Comp9}{space 1}{space 1}{ralign 8:Comp10}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2185}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3482}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2705}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5158}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3488}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2799}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1431}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4934}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0098}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1526}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2754}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4246}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0598}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3526}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0434}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1181}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3672}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.6782}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0511}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0289}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3495}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1032}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3911}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1891}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2871}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0445}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0991}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1734}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5359}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4774}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2254}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2861}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4751}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2282}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5428}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0532}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0196}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1084}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2145}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4814}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3230}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3113}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0977}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0122}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3448}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4700}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5327}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1738}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2974}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1760}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.4038}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0586}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1496}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0213}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0392}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2640}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3683}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0139}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.6969}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1598}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.4117}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2233}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1980}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0350}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0448}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0757}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2798}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1090}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0955}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1867}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0883}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1485}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6565}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1868}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5734}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2080}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2945}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0817}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1272}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1349}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2094}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4240}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0906}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5323}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1214}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5541}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3276}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2101}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0317}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0466}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2542}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3905}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1384}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4477}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0808}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5047}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3459}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3974}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0122}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1210}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3877}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3184}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1231}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0356}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1637}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0400}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1519}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0616}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2521}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.6244}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}

{space 4}{hline 13}{c  TT}{hline 10}{c  TT}{hline 13}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp11}{space 1}{c |}{space 1}{ralign 11:Unexplained}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{c   +}{hline 13}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0661}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0438}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1978}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0464}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.1261}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3039}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.7736}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0668}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0919}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0983}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.4724}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{c  BT}{hline 13}
{txt}({bf:score} assumed)
(10 components skipped)

Scoring coefficients 
{col 5}sum of squares(column-loading) = 1

{space 4}{hline 13}{c  TT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp1}{space 1}{space 1}{ralign 8:Comp2}{space 1}{space 1}{ralign 8:Comp3}{space 1}{space 1}{ralign 8:Comp4}{space 1}{space 1}{ralign 8:Comp5}{space 1}{space 1}{ralign 8:Comp6}{space 1}{space 1}{ralign 8:Comp7}{space 1}{space 1}{ralign 8:Comp8}{space 1}{space 1}{ralign 8:Comp9}{space 1}{space 1}{ralign 8:Comp10}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2185}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3482}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2705}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5158}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3488}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2799}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1431}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4934}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0098}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1526}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2754}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4246}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0598}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3526}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0434}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1181}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3672}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.6782}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0511}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0289}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3495}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1032}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3911}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1891}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2871}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0445}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0991}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1734}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5359}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4774}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2254}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2861}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4751}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2282}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5428}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0532}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0196}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1084}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2145}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4814}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3230}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3113}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0977}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0122}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3448}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4700}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5327}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1738}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2974}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1760}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.4038}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0586}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1496}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0213}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0392}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2640}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3683}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0139}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.6969}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1598}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.4117}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2233}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1980}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0350}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0448}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0757}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2798}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1090}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0955}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1867}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0883}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1485}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6565}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1868}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5734}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2080}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2945}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0817}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1272}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1349}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2094}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4240}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0906}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5323}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1214}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5541}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3276}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2101}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0317}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0466}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2542}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3905}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1384}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4477}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0808}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5047}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3459}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3974}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0122}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1210}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3877}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3184}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1231}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0356}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1637}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0400}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1519}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0616}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2521}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.6244}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}

{space 4}{hline 13}{c  TT}{hline 10}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp11}{space 1}
{space 4}{hline 13}{c   +}{hline 10}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0661}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0438}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1978}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0464}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.1261}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3039}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.7736}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0668}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0919}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0983}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.4724}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}
 
Warning: f1142006 has 606 values < 0. Used in calculations
 
Distributional summary statistics, 5 quantile groups

{hline 10}{c TT}{hline 64}
Quantile  {c |}
group     {c |}    Quantile  % of median     Share, %      L(p), %        GL(p)
{hline 10}{c +}{hline 64}
        1 {c |}      {res}-1.389    39752.612   -9.140e+09   -9.140e+09       -0.501
        {txt}2 {c |}      {res}-0.527    15093.986   -3.406e+09   -1.255e+10       -0.688
        {txt}3 {c |}       {res}0.520   -14893.985    3.385e+08   -1.221e+10       -0.670
        {txt}4 {c |}       {res}1.663   -47592.559    5.170e+09   -7.038e+09       -0.386
        {txt}5 {c |}            {res}                 7.038e+09      100.000        0.000
{txt}{hline 10}{c BT}{hline 64}
Share = quantile group share of total f1142006; 
L(p)=cumulative group share; GL(p)=L(p)*mean(f1142006)
(1,200 real changes made)
(1,200 real changes made)
Now calculating 14_2008

Principal components/correlation{col 50}Number of obs    = {res}     1,500
{col 50}{txt}Number of comp.  = {res}        11
{col 50}{txt}Trace            {col 67}=  {res}       11
{col 5}{txt}Rotation: (unrotated = principal){col 50}Rho              = {res}    1.0000

{txt}{col 5}{hline 13}{c TT}{hline 60}
{col 5}   Component {c |}   Eigenvalue   Difference         Proportion   Cumulative
{col 5}{hline 13}{c +}{hline 60}
{col 5}{ralign 12:Comp1} {c |}{res}       3.1454      1.77456             0.2859       0.2859
{txt}{col 5}{ralign 12:Comp2} {c |}{res}      1.37084      .190095             0.1246       0.4106
{txt}{col 5}{ralign 12:Comp3} {c |}{res}      1.18074      .237991             0.1073       0.5179
{txt}{col 5}{ralign 12:Comp4} {c |}{res}       .94275      .120678             0.0857       0.6036
{txt}{col 5}{ralign 12:Comp5} {c |}{res}      .822072      .118699             0.0747       0.6783
{txt}{col 5}{ralign 12:Comp6} {c |}{res}      .703372     .0299575             0.0639       0.7423
{txt}{col 5}{ralign 12:Comp7} {c |}{res}      .673415     .0641832             0.0612       0.8035
{txt}{col 5}{ralign 12:Comp8} {c |}{res}      .609232     .0485842             0.0554       0.8589
{txt}{col 5}{ralign 12:Comp9} {c |}{res}      .560648     .0571177             0.0510       0.9099
{txt}{col 5}{ralign 12:Comp10} {c |}{res}       .50353      .015521             0.0458       0.9556
{txt}{col 5}{ralign 12:Comp11} {c |}{res}      .488009            .             0.0444       1.0000
{txt}{col 5}{hline 13}{c BT}{hline 60}

Principal components (eigenvectors) 

{space 4}{hline 13}{c  TT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp1}{space 1}{space 1}{ralign 8:Comp2}{space 1}{space 1}{ralign 8:Comp3}{space 1}{space 1}{ralign 8:Comp4}{space 1}{space 1}{ralign 8:Comp5}{space 1}{space 1}{ralign 8:Comp6}{space 1}{space 1}{ralign 8:Comp7}{space 1}{space 1}{ralign 8:Comp8}{space 1}{space 1}{ralign 8:Comp9}{space 1}{space 1}{ralign 8:Comp10}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2554}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4032}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0778}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4563}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1851}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3097}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4413}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4793}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0521}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0204}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2848}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3330}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0738}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4979}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0202}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0213}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5477}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4348}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2014}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1493}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3705}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0527}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3800}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1370}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2254}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2166}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0091}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0336}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0060}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.7606}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2049}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1466}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6061}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1566}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5652}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0923}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0084}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1944}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0565}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4001}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3132}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3205}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0963}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1003}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1701}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.7111}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3550}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1727}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2317}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0884}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.4123}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0914}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0243}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0674}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0335}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1189}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2439}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2953}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5858}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1726}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3920}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2415}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1112}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0240}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1278}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3404}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2319}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0138}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0373}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4352}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1004}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0609}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6701}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0717}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6934}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1539}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0550}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1371}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0186}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0006}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2349}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4698}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0401}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4367}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1019}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3124}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4004}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4442}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2500}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0533}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2166}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4565}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0619}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5164}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2289}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2936}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3149}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4132}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2439}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0059}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3749}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3164}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0101}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1513}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0719}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0713}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0580}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1955}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6580}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0940}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}

{space 4}{hline 13}{c  TT}{hline 10}{c  TT}{hline 13}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp11}{space 1}{c |}{space 1}{ralign 11:Unexplained}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{c   +}{hline 13}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0125}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0438}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1392}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1247}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1670}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.5307}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.6310}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0738}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0300}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0792}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.4927}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{c  BT}{hline 13}
{txt}({bf:score} assumed)
(10 components skipped)

Scoring coefficients 
{col 5}sum of squares(column-loading) = 1

{space 4}{hline 13}{c  TT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp1}{space 1}{space 1}{ralign 8:Comp2}{space 1}{space 1}{ralign 8:Comp3}{space 1}{space 1}{ralign 8:Comp4}{space 1}{space 1}{ralign 8:Comp5}{space 1}{space 1}{ralign 8:Comp6}{space 1}{space 1}{ralign 8:Comp7}{space 1}{space 1}{ralign 8:Comp8}{space 1}{space 1}{ralign 8:Comp9}{space 1}{space 1}{ralign 8:Comp10}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2554}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4032}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0778}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4563}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1851}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3097}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4413}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4793}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0521}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0204}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2848}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3330}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0738}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4979}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0202}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0213}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5477}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4348}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2014}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1493}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3705}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0527}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3800}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1370}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2254}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2166}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0091}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0336}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0060}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.7606}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2049}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1466}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6061}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1566}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5652}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0923}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0084}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1944}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0565}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4001}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3132}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3205}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0963}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1003}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1701}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.7111}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3550}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1727}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2317}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0884}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.4123}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0914}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0243}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0674}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0335}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1189}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2439}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2953}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5858}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1726}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3920}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2415}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1112}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0240}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1278}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3404}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2319}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0138}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0373}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4352}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1004}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0609}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6701}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0717}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6934}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1539}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0550}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1371}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0186}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0006}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2349}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4698}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0401}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4367}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1019}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3124}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4004}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4442}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2500}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0533}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2166}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4565}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0619}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5164}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2289}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2936}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3149}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4132}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2439}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0059}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3749}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3164}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0101}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1513}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0719}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0713}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0580}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1955}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6580}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0940}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}

{space 4}{hline 13}{c  TT}{hline 10}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp11}{space 1}
{space 4}{hline 13}{c   +}{hline 10}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0125}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0438}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1392}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1247}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1670}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.5307}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.6310}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0738}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0300}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0792}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.4927}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}
 
Warning: f1142008 has 681 values < 0. Used in calculations
 
Distributional summary statistics, 5 quantile groups

{hline 10}{c TT}{hline 64}
Quantile  {c |}
group     {c |}    Quantile  % of median     Share, %      L(p), %        GL(p)
{hline 10}{c +}{hline 64}
        1 {c |}      {res}-1.381    -1179.114   -7.288e+10   -7.288e+10       -0.555
        {txt}2 {c |}      {res}-0.522     -445.746   -2.014e+10   -9.302e+10       -0.708
        {txt}3 {c |}       {res}0.814      695.251    5.525e+09   -8.750e+10       -0.666
        {txt}4 {c |}       {res}1.603     1368.500    3.440e+10   -5.310e+10       -0.404
        {txt}5 {c |}            {res}                 5.310e+10      100.000        0.000
{txt}{hline 10}{c BT}{hline 64}
Share = quantile group share of total f1142008; 
L(p)=cumulative group share; GL(p)=L(p)*mean(f1142008)
(1,500 real changes made)
(1,500 real changes made)
Now calculating 14_2010

Principal components/correlation{col 50}Number of obs    = {res}     1,500
{col 50}{txt}Number of comp.  = {res}        11
{col 50}{txt}Trace            {col 67}=  {res}       11
{col 5}{txt}Rotation: (unrotated = principal){col 50}Rho              = {res}    1.0000

{txt}{col 5}{hline 13}{c TT}{hline 60}
{col 5}   Component {c |}   Eigenvalue   Difference         Proportion   Cumulative
{col 5}{hline 13}{c +}{hline 60}
{col 5}{ralign 12:Comp1} {c |}{res}      2.69264       1.3911             0.2448       0.2448
{txt}{col 5}{ralign 12:Comp2} {c |}{res}      1.30154     .0873324             0.1183       0.3631
{txt}{col 5}{ralign 12:Comp3} {c |}{res}      1.21421      .211637             0.1104       0.4735
{txt}{col 5}{ralign 12:Comp4} {c |}{res}      1.00257     .0890722             0.0911       0.5646
{txt}{col 5}{ralign 12:Comp5} {c |}{res}      .913498      .125743             0.0830       0.6477
{txt}{col 5}{ralign 12:Comp6} {c |}{res}      .787755     .0691971             0.0716       0.7193
{txt}{col 5}{ralign 12:Comp7} {c |}{res}      .718557     .0342701             0.0653       0.7846
{txt}{col 5}{ralign 12:Comp8} {c |}{res}      .684287     .0558427             0.0622       0.8468
{txt}{col 5}{ralign 12:Comp9} {c |}{res}      .628445     .0731451             0.0571       0.9040
{txt}{col 5}{ralign 12:Comp10} {c |}{res}        .5553      .054099             0.0505       0.9544
{txt}{col 5}{ralign 12:Comp11} {c |}{res}      .501201            .             0.0456       1.0000
{txt}{col 5}{hline 13}{c BT}{hline 60}

Principal components (eigenvectors) 

{space 4}{hline 13}{c  TT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp1}{space 1}{space 1}{ralign 8:Comp2}{space 1}{space 1}{ralign 8:Comp3}{space 1}{space 1}{ralign 8:Comp4}{space 1}{space 1}{ralign 8:Comp5}{space 1}{space 1}{ralign 8:Comp6}{space 1}{space 1}{ralign 8:Comp7}{space 1}{space 1}{ralign 8:Comp8}{space 1}{space 1}{ralign 8:Comp9}{space 1}{space 1}{ralign 8:Comp10}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1793}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2516}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2074}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.6414}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5249}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1504}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0696}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1395}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3547}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0424}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2795}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3660}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1672}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2157}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3751}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5083}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2749}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1478}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4294}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1501}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3699}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0401}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4693}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0938}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1908}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0258}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1336}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0460}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0472}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5512}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1871}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2867}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5320}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3020}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4006}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2551}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2539}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1052}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1627}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2886}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3246}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2753}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0278}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1540}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1095}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6293}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5693}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0680}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1667}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1695}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.4213}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0587}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0498}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0590}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0732}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0755}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2967}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5904}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0053}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5556}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.4356}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2518}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1328}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0388}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0598}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0839}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1059}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1962}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0305}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3282}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0302}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1539}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6145}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4611}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3348}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2213}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4259}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0003}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0396}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2005}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2137}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5146}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1119}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2088}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3561}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4126}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3395}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1959}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4235}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0111}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2498}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4564}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1207}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3773}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3526}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0014}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2624}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0326}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6053}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1048}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3692}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2821}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0145}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1218}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0519}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1591}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2200}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.7172}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2916}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3035}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}

{space 4}{hline 13}{c  TT}{hline 10}{c  TT}{hline 13}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp11}{space 1}{c |}{space 1}{ralign 11:Unexplained}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{c   +}{hline 13}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0118}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.1004}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.5190}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3125}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0334}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2382}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.7475}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0316}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0569}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0284}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0337}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{c  BT}{hline 13}
{txt}({bf:score} assumed)
(10 components skipped)

Scoring coefficients 
{col 5}sum of squares(column-loading) = 1

{space 4}{hline 13}{c  TT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp1}{space 1}{space 1}{ralign 8:Comp2}{space 1}{space 1}{ralign 8:Comp3}{space 1}{space 1}{ralign 8:Comp4}{space 1}{space 1}{ralign 8:Comp5}{space 1}{space 1}{ralign 8:Comp6}{space 1}{space 1}{ralign 8:Comp7}{space 1}{space 1}{ralign 8:Comp8}{space 1}{space 1}{ralign 8:Comp9}{space 1}{space 1}{ralign 8:Comp10}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1793}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2516}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2074}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.6414}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5249}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1504}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0696}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1395}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3547}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0424}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2795}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3660}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1672}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2157}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3751}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5083}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2749}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1478}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4294}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1501}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3699}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0401}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4693}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0938}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1908}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0258}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1336}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0460}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0472}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5512}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1871}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2867}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5320}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3020}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4006}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2551}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2539}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1052}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1627}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2886}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3246}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2753}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0278}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1540}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1095}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6293}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5693}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0680}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1667}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1695}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.4213}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0587}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0498}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0590}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0732}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0755}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2967}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5904}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0053}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5556}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.4356}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2518}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1328}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0388}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0598}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0839}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1059}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1962}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0305}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3282}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0302}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1539}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6145}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4611}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3348}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2213}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4259}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0003}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0396}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2005}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2137}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5146}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1119}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2088}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3561}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4126}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3395}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1959}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4235}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0111}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2498}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4564}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1207}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3773}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3526}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0014}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2624}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0326}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6053}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1048}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3692}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2821}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0145}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1218}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0519}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1591}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2200}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.7172}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2916}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3035}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}

{space 4}{hline 13}{c  TT}{hline 10}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp11}{space 1}
{space 4}{hline 13}{c   +}{hline 10}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0118}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.1004}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.5190}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3125}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0334}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2382}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.7475}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0316}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0569}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0284}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0337}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}
 
Warning: f1142010 has 736 values < 0. Used in calculations
 
Distributional summary statistics, 5 quantile groups

{hline 10}{c TT}{hline 64}
Quantile  {c |}
group     {c |}    Quantile  % of median     Share, %      L(p), %        GL(p)
{hline 10}{c +}{hline 64}
        1 {c |}      {res}-1.181     -407.687   -1.097e+10   -1.097e+10       -0.504
        {txt}2 {c |}      {res}-0.239      -82.446   -3.357e+09   -1.433e+10       -0.658
        {txt}3 {c |}       {res}0.632      218.084    1.061e+09   -1.327e+10       -0.609
        {txt}4 {c |}       {res}1.433      494.422    5.878e+09   -7.390e+09       -0.339
        {txt}5 {c |}            {res}                 7.390e+09      100.000        0.000
{txt}{hline 10}{c BT}{hline 64}
Share = quantile group share of total f1142010; 
L(p)=cumulative group share; GL(p)=L(p)*mean(f1142010)
(1,500 real changes made)
(1,500 real changes made)
Now calculating 14_2012

Principal components/correlation{col 50}Number of obs    = {res}     1,506
{col 50}{txt}Number of comp.  = {res}        11
{col 50}{txt}Trace            {col 67}=  {res}       11
{col 5}{txt}Rotation: (unrotated = principal){col 50}Rho              = {res}    1.0000

{txt}{col 5}{hline 13}{c TT}{hline 60}
{col 5}   Component {c |}   Eigenvalue   Difference         Proportion   Cumulative
{col 5}{hline 13}{c +}{hline 60}
{col 5}{ralign 12:Comp1} {c |}{res}      2.70931      1.36201             0.2463       0.2463
{txt}{col 5}{ralign 12:Comp2} {c |}{res}       1.3473      .129884             0.1225       0.3688
{txt}{col 5}{ralign 12:Comp3} {c |}{res}      1.21742      .245637             0.1107       0.4795
{txt}{col 5}{ralign 12:Comp4} {c |}{res}      .971779     .0920982             0.0883       0.5678
{txt}{col 5}{ralign 12:Comp5} {c |}{res}      .879681     .0262327             0.0800       0.6478
{txt}{col 5}{ralign 12:Comp6} {c |}{res}      .853448      .128677             0.0776       0.7254
{txt}{col 5}{ralign 12:Comp7} {c |}{res}      .724771     .0909733             0.0659       0.7912
{txt}{col 5}{ralign 12:Comp8} {c |}{res}      .633798     .0262639             0.0576       0.8489
{txt}{col 5}{ralign 12:Comp9} {c |}{res}      .607534     .0530647             0.0552       0.9041
{txt}{col 5}{ralign 12:Comp10} {c |}{res}      .554469     .0539698             0.0504       0.9545
{txt}{col 5}{ralign 12:Comp11} {c |}{res}      .500499            .             0.0455       1.0000
{txt}{col 5}{hline 13}{c BT}{hline 60}

Principal components (eigenvectors) 

{space 4}{hline 13}{c  TT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp1}{space 1}{space 1}{ralign 8:Comp2}{space 1}{space 1}{ralign 8:Comp3}{space 1}{space 1}{ralign 8:Comp4}{space 1}{space 1}{ralign 8:Comp5}{space 1}{space 1}{ralign 8:Comp6}{space 1}{space 1}{ralign 8:Comp7}{space 1}{space 1}{ralign 8:Comp8}{space 1}{space 1}{ralign 8:Comp9}{space 1}{space 1}{ralign 8:Comp10}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0923}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0507}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3113}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.9237}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0101}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1093}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0966}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0437}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0574}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0040}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2625}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2538}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1720}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0148}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4714}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.6829}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2948}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1139}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1082}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0537}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3678}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1365}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4400}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1235}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1143}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0593}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0963}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0504}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5306}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0549}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2017}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3626}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4641}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0428}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5163}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2472}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2790}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0942}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0727}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1497}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3150}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2497}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1603}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0659}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2498}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4251}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.7110}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0498}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2325}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0478}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.4314}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0242}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0281}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0189}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0326}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1443}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3380}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1547}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5882}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5007}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.4242}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1288}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1952}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0063}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0773}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0595}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2735}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1825}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2634}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.7262}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0837}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2991}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5285}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2402}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5665}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3055}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3221}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0131}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1510}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0937}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2169}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5385}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2775}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1711}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1309}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1400}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0727}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.7031}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0321}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0883}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2482}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4898}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2053}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1517}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1961}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3730}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0217}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.6393}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0221}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1290}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.4070}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2898}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0383}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1216}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2284}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0056}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1120}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1035}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4522}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3976}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}

{space 4}{hline 13}{c  TT}{hline 10}{c  TT}{hline 13}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp11}{space 1}{c |}{space 1}{ralign 11:Unexplained}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{c   +}{hline 13}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.1105}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.1841}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.5694}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.4106}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0303}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2354}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.2256}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1295}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1070}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.1715}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.5442}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{c  BT}{hline 13}
{txt}({bf:score} assumed)
(10 components skipped)

Scoring coefficients 
{col 5}sum of squares(column-loading) = 1

{space 4}{hline 13}{c  TT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp1}{space 1}{space 1}{ralign 8:Comp2}{space 1}{space 1}{ralign 8:Comp3}{space 1}{space 1}{ralign 8:Comp4}{space 1}{space 1}{ralign 8:Comp5}{space 1}{space 1}{ralign 8:Comp6}{space 1}{space 1}{ralign 8:Comp7}{space 1}{space 1}{ralign 8:Comp8}{space 1}{space 1}{ralign 8:Comp9}{space 1}{space 1}{ralign 8:Comp10}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0923}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0507}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3113}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.9237}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0101}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1093}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0966}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0437}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0574}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0040}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2625}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2538}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1720}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0148}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4714}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.6829}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2948}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1139}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1082}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0537}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3678}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1365}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4400}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1235}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1143}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0593}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0963}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0504}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5306}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0549}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2017}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3626}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4641}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0428}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5163}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2472}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2790}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0942}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0727}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1497}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3150}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2497}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1603}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0659}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2498}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4251}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.7110}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0498}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2325}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0478}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.4314}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0242}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0281}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0189}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0326}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1443}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3380}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1547}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5882}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5007}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.4242}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1288}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1952}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0063}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0773}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0595}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2735}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1825}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2634}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.7262}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0837}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2991}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5285}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2402}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5665}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3055}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3221}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0131}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1510}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0937}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2169}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5385}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2775}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1711}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1309}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1400}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0727}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.7031}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0321}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0883}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2482}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4898}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2053}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1517}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1961}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3730}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0217}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.6393}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0221}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1290}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.4070}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2898}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0383}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1216}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2284}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0056}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1120}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1035}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4522}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3976}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}

{space 4}{hline 13}{c  TT}{hline 10}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp11}{space 1}
{space 4}{hline 13}{c   +}{hline 10}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.1105}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.1841}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.5694}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.4106}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0303}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2354}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.2256}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1295}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1070}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.1715}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.5442}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}
 
Warning: f1142012 has 639 values < 0. Used in calculations
 
Distributional summary statistics, 5 quantile groups

{hline 10}{c TT}{hline 64}
Quantile  {c |}
group     {c |}    Quantile  % of median     Share, %      L(p), %        GL(p)
{hline 10}{c +}{hline 64}
        1 {c |}      {res}-1.328     -370.994    7.391e+09    7.391e+09       -0.508
        {txt}2 {c |}      {res}-0.283      -78.938    2.339e+09    9.730e+09       -0.669
        {txt}3 {c |}       {res}0.790      220.750   -1.085e+09    8.646e+09       -0.594
        {txt}4 {c |}       {res}1.622      453.024   -5.368e+09    3.277e+09       -0.225
        {txt}5 {c |}            {res}                -3.277e+09      100.000       -0.000
{txt}{hline 10}{c BT}{hline 64}
Share = quantile group share of total f1142012; 
L(p)=cumulative group share; GL(p)=L(p)*mean(f1142012)
(1,506 real changes made)
(1,506 real changes made)
Now calculating 14_2014

Principal components/correlation{col 50}Number of obs    = {res}     1,510
{col 50}{txt}Number of comp.  = {res}        11
{col 50}{txt}Trace            {col 67}=  {res}       11
{col 5}{txt}Rotation: (unrotated = principal){col 50}Rho              = {res}    1.0000

{txt}{col 5}{hline 13}{c TT}{hline 60}
{col 5}   Component {c |}   Eigenvalue   Difference         Proportion   Cumulative
{col 5}{hline 13}{c +}{hline 60}
{col 5}{ralign 12:Comp1} {c |}{res}      2.45841      1.06594             0.2235       0.2235
{txt}{col 5}{ralign 12:Comp2} {c |}{res}      1.39248      .162133             0.1266       0.3501
{txt}{col 5}{ralign 12:Comp3} {c |}{res}      1.23034      .146266             0.1118       0.4619
{txt}{col 5}{ralign 12:Comp4} {c |}{res}      1.08408      .169447             0.0986       0.5605
{txt}{col 5}{ralign 12:Comp5} {c |}{res}      .914629      .166785             0.0831       0.6436
{txt}{col 5}{ralign 12:Comp6} {c |}{res}      .747844     .0306354             0.0680       0.7116
{txt}{col 5}{ralign 12:Comp7} {c |}{res}      .717208     .0545733             0.0652       0.7768
{txt}{col 5}{ralign 12:Comp8} {c |}{res}      .662635     .0248627             0.0602       0.8371
{txt}{col 5}{ralign 12:Comp9} {c |}{res}      .637772     .0566533             0.0580       0.8950
{txt}{col 5}{ralign 12:Comp10} {c |}{res}      .581119    .00763046             0.0528       0.9479
{txt}{col 5}{ralign 12:Comp11} {c |}{res}      .573488            .             0.0521       1.0000
{txt}{col 5}{hline 13}{c BT}{hline 60}

Principal components (eigenvectors) 

{space 4}{hline 13}{c  TT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp1}{space 1}{space 1}{ralign 8:Comp2}{space 1}{space 1}{ralign 8:Comp3}{space 1}{space 1}{ralign 8:Comp4}{space 1}{space 1}{ralign 8:Comp5}{space 1}{space 1}{ralign 8:Comp6}{space 1}{space 1}{ralign 8:Comp7}{space 1}{space 1}{ralign 8:Comp8}{space 1}{space 1}{ralign 8:Comp9}{space 1}{space 1}{ralign 8:Comp10}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1688}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2705}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5789}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2641}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1075}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2494}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4040}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3133}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3979}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0021}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2169}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2869}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5006}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2455}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0483}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4400}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4070}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4039}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1836}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0134}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3842}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1107}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3456}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3023}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0975}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1953}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0318}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1561}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1064}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1811}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1340}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3614}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2359}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4229}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.6686}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1092}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1256}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0877}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0515}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1427}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3245}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3824}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0368}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0446}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3886}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2024}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4893}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3685}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0715}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3518}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.4168}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0384}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0357}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0314}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0898}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.6186}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4169}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0384}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0712}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4662}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.4332}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0782}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1721}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1410}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1369}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2824}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1547}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3364}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0840}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.7169}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0519}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4638}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4200}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1877}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5160}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1317}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3121}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1842}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0273}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2566}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2313}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3425}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1128}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6024}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1193}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0955}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1474}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1690}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6089}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0738}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2760}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4006}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0753}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4203}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2163}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0207}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2727}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2330}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.6355}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0135}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3999}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2344}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1103}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0479}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1567}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4049}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1538}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5826}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0368}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1416}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}

{space 4}{hline 13}{c  TT}{hline 10}{c  TT}{hline 13}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp11}{space 1}{c |}{space 1}{ralign 11:Unexplained}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{c   +}{hline 13}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0092}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0355}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.7157}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3340}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.2218}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.1848}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0068}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2985}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0611}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0322}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.4446}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{c  BT}{hline 13}
{txt}({bf:score} assumed)
(10 components skipped)

Scoring coefficients 
{col 5}sum of squares(column-loading) = 1

{space 4}{hline 13}{c  TT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp1}{space 1}{space 1}{ralign 8:Comp2}{space 1}{space 1}{ralign 8:Comp3}{space 1}{space 1}{ralign 8:Comp4}{space 1}{space 1}{ralign 8:Comp5}{space 1}{space 1}{ralign 8:Comp6}{space 1}{space 1}{ralign 8:Comp7}{space 1}{space 1}{ralign 8:Comp8}{space 1}{space 1}{ralign 8:Comp9}{space 1}{space 1}{ralign 8:Comp10}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1688}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2705}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5789}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2641}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1075}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2494}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4040}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3133}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3979}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0021}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2169}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2869}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5006}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2455}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0483}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4400}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4070}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4039}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1836}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0134}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3842}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1107}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3456}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3023}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0975}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1953}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0318}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1561}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1064}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1811}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1340}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3614}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2359}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4229}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.6686}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1092}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1256}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0877}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0515}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1427}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3245}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3824}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0368}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0446}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3886}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2024}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4893}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3685}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0715}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3518}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.4168}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0384}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0357}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0314}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0898}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.6186}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4169}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0384}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0712}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4662}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.4332}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0782}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1721}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1410}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1369}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2824}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1547}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3364}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0840}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.7169}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0519}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4638}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4200}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1877}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5160}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1317}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3121}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1842}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0273}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2566}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2313}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3425}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1128}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6024}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1193}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0955}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1474}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1690}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6089}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0738}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2760}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4006}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0753}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4203}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2163}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0207}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2727}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2330}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.6355}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0135}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3999}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2344}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1103}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0479}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1567}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4049}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1538}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5826}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0368}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1416}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}

{space 4}{hline 13}{c  TT}{hline 10}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp11}{space 1}
{space 4}{hline 13}{c   +}{hline 10}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0092}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0355}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.7157}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3340}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.2218}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.1848}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0068}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2985}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0611}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0322}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.4446}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}
 
Warning: f1142014 has 595 values < 0. Used in calculations
 
Distributional summary statistics, 5 quantile groups

{hline 10}{c TT}{hline 64}
Quantile  {c |}
group     {c |}    Quantile  % of median     Share, %      L(p), %        GL(p)
{hline 10}{c +}{hline 64}
        1 {c |}      {res}-1.306     -609.171    5.105e+09    5.105e+09       -0.499
        {txt}2 {c |}       {res}0.054       25.017    1.191e+09    6.296e+09       -0.615
        {txt}3 {c |}       {res}0.744      346.771   -6.639e+08    5.633e+09       -0.550
        {txt}4 {c |}       {res}1.424      663.846   -3.328e+09    2.305e+09       -0.225
        {txt}5 {c |}            {res}                -2.305e+09      100.000       -0.000
{txt}{hline 10}{c BT}{hline 64}
Share = quantile group share of total f1142014; 
L(p)=cumulative group share; GL(p)=L(p)*mean(f1142014)
(1,510 real changes made)
(1,510 real changes made)
Now calculating 14_2016

Principal components/correlation{col 50}Number of obs    = {res}     1,507
{col 50}{txt}Number of comp.  = {res}        11
{col 50}{txt}Trace            {col 67}=  {res}       11
{col 5}{txt}Rotation: (unrotated = principal){col 50}Rho              = {res}    1.0000

{txt}{col 5}{hline 13}{c TT}{hline 60}
{col 5}   Component {c |}   Eigenvalue   Difference         Proportion   Cumulative
{col 5}{hline 13}{c +}{hline 60}
{col 5}{ralign 12:Comp1} {c |}{res}       2.5625      1.27513             0.2330       0.2330
{txt}{col 5}{ralign 12:Comp2} {c |}{res}      1.28737      .186672             0.1170       0.3500
{txt}{col 5}{ralign 12:Comp3} {c |}{res}       1.1007      .155273             0.1001       0.4501
{txt}{col 5}{ralign 12:Comp4} {c |}{res}      .945425     .0185032             0.0859       0.5360
{txt}{col 5}{ralign 12:Comp5} {c |}{res}      .926922      .108907             0.0843       0.6203
{txt}{col 5}{ralign 12:Comp6} {c |}{res}      .818014     .0535127             0.0744       0.6946
{txt}{col 5}{ralign 12:Comp7} {c |}{res}      .764501     .0121359             0.0695       0.7641
{txt}{col 5}{ralign 12:Comp8} {c |}{res}      .752365     .0934197             0.0684       0.8325
{txt}{col 5}{ralign 12:Comp9} {c |}{res}      .658946     .0599963             0.0599       0.8924
{txt}{col 5}{ralign 12:Comp10} {c |}{res}       .59895      .014638             0.0544       0.9469
{txt}{col 5}{ralign 12:Comp11} {c |}{res}      .584312            .             0.0531       1.0000
{txt}{col 5}{hline 13}{c BT}{hline 60}

Principal components (eigenvectors) 

{space 4}{hline 13}{c  TT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp1}{space 1}{space 1}{ralign 8:Comp2}{space 1}{space 1}{ralign 8:Comp3}{space 1}{space 1}{ralign 8:Comp4}{space 1}{space 1}{ralign 8:Comp5}{space 1}{space 1}{ralign 8:Comp6}{space 1}{space 1}{ralign 8:Comp7}{space 1}{space 1}{ralign 8:Comp8}{space 1}{space 1}{ralign 8:Comp9}{space 1}{space 1}{ralign 8:Comp10}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1621}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3479}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1326}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3713}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.7849}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1281}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0772}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1017}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1646}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0421}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3021}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3147}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0509}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2787}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2356}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5561}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3652}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3320}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0942}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3320}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3784}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3602}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2102}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0547}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0362}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0083}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0814}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2438}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2359}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3156}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1717}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1525}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5765}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5040}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2939}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3630}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1029}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2797}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1705}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0858}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2946}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3389}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1930}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1031}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2132}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2331}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.7791}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1078}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0893}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0524}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3898}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0132}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0235}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1269}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0075}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5128}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1535}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4829}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1123}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4584}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.4053}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2006}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0204}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0018}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1776}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0433}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2993}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3139}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4138}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.6112}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0546}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2073}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6643}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5501}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2580}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0906}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1373}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2910}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0225}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0246}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3066}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4566}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1879}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0793}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1881}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2428}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0297}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1427}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.6489}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3414}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2755}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3518}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2946}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4379}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1659}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3400}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0598}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2061}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5069}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2740}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3660}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3105}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0406}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0109}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1850}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2013}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3163}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5009}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0947}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0481}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}

{space 4}{hline 13}{c  TT}{hline 10}{c  TT}{hline 13}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp11}{space 1}{c |}{space 1}{ralign 11:Unexplained}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{c   +}{hline 13}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.1401}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0440}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.6762}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1327}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.1463}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.2977}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1695}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1752}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0518}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0226}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.5753}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{c  BT}{hline 13}
{txt}({bf:score} assumed)
(10 components skipped)

Scoring coefficients 
{col 5}sum of squares(column-loading) = 1

{space 4}{hline 13}{c  TT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp1}{space 1}{space 1}{ralign 8:Comp2}{space 1}{space 1}{ralign 8:Comp3}{space 1}{space 1}{ralign 8:Comp4}{space 1}{space 1}{ralign 8:Comp5}{space 1}{space 1}{ralign 8:Comp6}{space 1}{space 1}{ralign 8:Comp7}{space 1}{space 1}{ralign 8:Comp8}{space 1}{space 1}{ralign 8:Comp9}{space 1}{space 1}{ralign 8:Comp10}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1621}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3479}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1326}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3713}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.7849}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1281}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0772}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1017}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1646}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0421}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3021}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3147}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0509}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2787}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2356}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5561}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3652}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3320}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0942}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3320}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3784}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3602}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2102}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0547}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0362}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0083}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0814}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2438}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2359}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3156}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1717}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1525}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5765}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5040}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2939}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3630}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1029}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2797}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1705}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0858}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2946}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3389}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1930}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1031}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2132}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2331}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.7791}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1078}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0893}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0524}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3898}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0132}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0235}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1269}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0075}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5128}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1535}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4829}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1123}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4584}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.4053}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2006}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0204}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0018}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1776}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0433}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2993}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3139}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4138}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.6112}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0546}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2073}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6643}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5501}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2580}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0906}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1373}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2910}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0225}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0246}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3066}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4566}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1879}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0793}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1881}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2428}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0297}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1427}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.6489}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3414}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2755}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3518}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2946}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4379}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1659}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3400}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0598}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2061}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5069}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2740}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3660}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3105}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0406}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0109}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1850}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2013}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3163}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5009}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0947}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0481}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}

{space 4}{hline 13}{c  TT}{hline 10}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp11}{space 1}
{space 4}{hline 13}{c   +}{hline 10}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.1401}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0440}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.6762}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1327}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.1463}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.2977}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1695}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1752}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0518}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0226}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.5753}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}
 
Warning: f1142016 has 572 values < 0. Used in calculations
 
Distributional summary statistics, 5 quantile groups

{hline 10}{c TT}{hline 64}
Quantile  {c |}
group     {c |}    Quantile  % of median     Share, %      L(p), %        GL(p)
{hline 10}{c +}{hline 64}
        1 {c |}      {res}-1.055     -399.800   -1.384e+11   -1.384e+11       -0.498
        {txt}2 {c |}       {res}0.072       27.319   -2.693e+10   -1.653e+11       -0.595
        {txt}3 {c |}       {res}0.924      350.240    4.359e+10   -1.217e+11       -0.438
        {txt}4 {c |}       {res}1.341      507.889    6.291e+10   -5.883e+10       -0.212
        {txt}5 {c |}            {res}                 5.883e+10      100.000        0.000
{txt}{hline 10}{c BT}{hline 64}
Share = quantile group share of total f1142016; 
L(p)=cumulative group share; GL(p)=L(p)*mean(f1142016)
(1,507 real changes made)
(1,507 real changes made)
Now calculating 15_2006

Principal components/correlation{col 50}Number of obs    = {res}     1,214
{col 50}{txt}Number of comp.  = {res}        11
{col 50}{txt}Trace            {col 67}=  {res}       11
{col 5}{txt}Rotation: (unrotated = principal){col 50}Rho              = {res}    1.0000

{txt}{col 5}{hline 13}{c TT}{hline 60}
{col 5}   Component {c |}   Eigenvalue   Difference         Proportion   Cumulative
{col 5}{hline 13}{c +}{hline 60}
{col 5}{ralign 12:Comp1} {c |}{res}      2.78233      1.54115             0.2529       0.2529
{txt}{col 5}{ralign 12:Comp2} {c |}{res}      1.24118      .210273             0.1128       0.3658
{txt}{col 5}{ralign 12:Comp3} {c |}{res}      1.03091     .0680392             0.0937       0.4595
{txt}{col 5}{ralign 12:Comp4} {c |}{res}      .962868     .0544869             0.0875       0.5470
{txt}{col 5}{ralign 12:Comp5} {c |}{res}      .908381     .0162857             0.0826       0.6296
{txt}{col 5}{ralign 12:Comp6} {c |}{res}      .892096      .114331             0.0811       0.7107
{txt}{col 5}{ralign 12:Comp7} {c |}{res}      .777765     .0939926             0.0707       0.7814
{txt}{col 5}{ralign 12:Comp8} {c |}{res}      .683772     .0672329             0.0622       0.8436
{txt}{col 5}{ralign 12:Comp9} {c |}{res}      .616539     .0405422             0.0560       0.8996
{txt}{col 5}{ralign 12:Comp10} {c |}{res}      .575997     .0478373             0.0524       0.9520
{txt}{col 5}{ralign 12:Comp11} {c |}{res}       .52816            .             0.0480       1.0000
{txt}{col 5}{hline 13}{c BT}{hline 60}

Principal components (eigenvectors) 

{space 4}{hline 13}{c  TT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp1}{space 1}{space 1}{ralign 8:Comp2}{space 1}{space 1}{ralign 8:Comp3}{space 1}{space 1}{ralign 8:Comp4}{space 1}{space 1}{ralign 8:Comp5}{space 1}{space 1}{ralign 8:Comp6}{space 1}{space 1}{ralign 8:Comp7}{space 1}{space 1}{ralign 8:Comp8}{space 1}{space 1}{ralign 8:Comp9}{space 1}{space 1}{ralign 8:Comp10}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1532}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6191}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1607}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0253}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1228}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0960}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.6683}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2554}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1240}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0776}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2198}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4732}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2007}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0690}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5079}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0268}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5064}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3368}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0507}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1238}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3749}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1171}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1575}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3306}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3612}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2764}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0619}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0430}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2706}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0588}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2916}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1860}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1149}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5127}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2548}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5433}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0264}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0120}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1603}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0379}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3916}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2344}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0434}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1104}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0216}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0915}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2249}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3866}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5963}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4607}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.4041}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0497}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1000}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0343}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0057}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0033}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3512}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4453}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5201}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4758}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.4110}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1978}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0121}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0140}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0018}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0429}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0268}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4935}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3826}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4866}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1365}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0606}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.7357}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0131}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4142}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4857}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1152}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0366}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0541}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0530}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1128}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3839}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1731}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6742}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5025}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2247}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1918}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0862}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0862}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0199}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1558}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2255}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5572}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3907}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3245}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5590}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0467}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1407}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0123}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1463}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.4018}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2144}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0469}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0379}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0406}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0972}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2560}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4467}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3165}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5233}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}

{space 4}{hline 13}{c  TT}{hline 10}{c  TT}{hline 13}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp11}{space 1}{c |}{space 1}{ralign 11:Unexplained}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{c   +}{hline 13}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0957}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.1908}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.6499}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.4651}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0312}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0668}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.4030}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0918}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0160}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0209}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.3725}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{c  BT}{hline 13}
{txt}({bf:score} assumed)
(10 components skipped)

Scoring coefficients 
{col 5}sum of squares(column-loading) = 1

{space 4}{hline 13}{c  TT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp1}{space 1}{space 1}{ralign 8:Comp2}{space 1}{space 1}{ralign 8:Comp3}{space 1}{space 1}{ralign 8:Comp4}{space 1}{space 1}{ralign 8:Comp5}{space 1}{space 1}{ralign 8:Comp6}{space 1}{space 1}{ralign 8:Comp7}{space 1}{space 1}{ralign 8:Comp8}{space 1}{space 1}{ralign 8:Comp9}{space 1}{space 1}{ralign 8:Comp10}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1532}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6191}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1607}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0253}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1228}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0960}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.6683}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2554}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1240}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0776}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2198}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4732}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2007}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0690}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5079}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0268}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5064}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3368}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0507}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1238}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3749}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1171}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1575}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3306}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3612}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2764}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0619}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0430}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2706}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0588}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2916}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1860}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1149}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5127}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2548}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5433}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0264}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0120}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1603}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0379}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3916}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2344}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0434}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1104}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0216}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0915}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2249}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3866}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5963}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4607}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.4041}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0497}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1000}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0343}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0057}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0033}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3512}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4453}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5201}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4758}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.4110}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1978}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0121}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0140}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0018}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0429}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0268}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4935}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3826}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4866}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1365}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0606}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.7357}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0131}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4142}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4857}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1152}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0366}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0541}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0530}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1128}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3839}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1731}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6742}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5025}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2247}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1918}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0862}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0862}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0199}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1558}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2255}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5572}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3907}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3245}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5590}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0467}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1407}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0123}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1463}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.4018}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2144}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0469}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0379}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0406}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0972}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2560}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4467}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3165}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5233}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}

{space 4}{hline 13}{c  TT}{hline 10}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp11}{space 1}
{space 4}{hline 13}{c   +}{hline 10}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0957}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.1908}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.6499}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.4651}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0312}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0668}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.4030}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0918}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0160}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0209}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.3725}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}
 
Warning: f1152006 has 678 values < 0. Used in calculations
 
Distributional summary statistics, 5 quantile groups

{hline 10}{c TT}{hline 64}
Quantile  {c |}
group     {c |}    Quantile  % of median     Share, %      L(p), %        GL(p)
{hline 10}{c +}{hline 64}
        1 {c |}      {res}-1.217      441.814   -1.545e+10   -1.545e+10       -0.536
        {txt}2 {c |}      {res}-0.468      169.829   -3.258e+09   -1.870e+10       -0.649
        {txt}3 {c |}       {res}0.341     -123.824   -6.956e+08   -1.940e+10       -0.673
        {txt}4 {c |}       {res}1.663     -603.471    5.116e+09   -1.428e+10       -0.496
        {txt}5 {c |}            {res}                 1.428e+10      100.000        0.000
{txt}{hline 10}{c BT}{hline 64}
Share = quantile group share of total f1152006; 
L(p)=cumulative group share; GL(p)=L(p)*mean(f1152006)
(1,214 real changes made)
(1,214 real changes made)
Now calculating 15_2008

Principal components/correlation{col 50}Number of obs    = {res}     1,487
{col 50}{txt}Number of comp.  = {res}        11
{col 50}{txt}Trace            {col 67}=  {res}       11
{col 5}{txt}Rotation: (unrotated = principal){col 50}Rho              = {res}    1.0000

{txt}{col 5}{hline 13}{c TT}{hline 60}
{col 5}   Component {c |}   Eigenvalue   Difference         Proportion   Cumulative
{col 5}{hline 13}{c +}{hline 60}
{col 5}{ralign 12:Comp1} {c |}{res}      3.39863      1.92683             0.3090       0.3090
{txt}{col 5}{ralign 12:Comp2} {c |}{res}      1.47179      .426062             0.1338       0.4428
{txt}{col 5}{ralign 12:Comp3} {c |}{res}      1.04573      .231585             0.0951       0.5378
{txt}{col 5}{ralign 12:Comp4} {c |}{res}      .814149     .0124872             0.0740       0.6118
{txt}{col 5}{ralign 12:Comp5} {c |}{res}      .801661       .12365             0.0729       0.6847
{txt}{col 5}{ralign 12:Comp6} {c |}{res}      .678012     .0552655             0.0616       0.7464
{txt}{col 5}{ralign 12:Comp7} {c |}{res}      .622747     .0248492             0.0566       0.8030
{txt}{col 5}{ralign 12:Comp8} {c |}{res}      .597897     .0545166             0.0544       0.8573
{txt}{col 5}{ralign 12:Comp9} {c |}{res}      .543381     .0147664             0.0494       0.9067
{txt}{col 5}{ralign 12:Comp10} {c |}{res}      .528614     .0312334             0.0481       0.9548
{txt}{col 5}{ralign 12:Comp11} {c |}{res}      .497381            .             0.0452       1.0000
{txt}{col 5}{hline 13}{c BT}{hline 60}

Principal components (eigenvectors) 

{space 4}{hline 13}{c  TT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp1}{space 1}{space 1}{ralign 8:Comp2}{space 1}{space 1}{ralign 8:Comp3}{space 1}{space 1}{ralign 8:Comp4}{space 1}{space 1}{ralign 8:Comp5}{space 1}{space 1}{ralign 8:Comp6}{space 1}{space 1}{ralign 8:Comp7}{space 1}{space 1}{ralign 8:Comp8}{space 1}{space 1}{ralign 8:Comp9}{space 1}{space 1}{ralign 8:Comp10}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1993}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4482}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0722}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.7012}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0217}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3256}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1819}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2858}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1278}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1470}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2774}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4555}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0783}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1774}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1063}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3140}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2623}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4781}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4358}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2698}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3363}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1321}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3714}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0128}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3456}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1184}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5085}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0428}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0250}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5758}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2850}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0341}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4228}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0915}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.6755}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1815}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3120}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2333}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0712}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2771}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3267}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2938}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0457}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0254}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2467}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3981}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4225}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.6039}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1045}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1609}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3664}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1372}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1608}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0313}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0810}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5398}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4116}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1607}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1501}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1613}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3579}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3020}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1343}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1636}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0887}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2093}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1632}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2643}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0726}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3066}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1259}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1322}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.7816}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0877}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5762}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0420}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0535}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0399}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0215}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0968}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2773}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3520}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1220}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5614}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0587}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3793}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1745}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3513}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3990}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0708}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3184}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3771}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0143}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3333}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0170}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1301}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0685}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2030}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.7611}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0516}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3547}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3052}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0008}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0773}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0370}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3036}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3601}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0834}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1017}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5782}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}

{space 4}{hline 13}{c  TT}{hline 10}{c  TT}{hline 13}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp11}{space 1}{c |}{space 1}{ralign 11:Unexplained}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{c   +}{hline 13}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0577}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0897}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0729}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0871}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0702}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.5276}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.6989}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0013}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0609}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0026}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.4475}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{c  BT}{hline 13}
{txt}({bf:score} assumed)
(10 components skipped)

Scoring coefficients 
{col 5}sum of squares(column-loading) = 1

{space 4}{hline 13}{c  TT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp1}{space 1}{space 1}{ralign 8:Comp2}{space 1}{space 1}{ralign 8:Comp3}{space 1}{space 1}{ralign 8:Comp4}{space 1}{space 1}{ralign 8:Comp5}{space 1}{space 1}{ralign 8:Comp6}{space 1}{space 1}{ralign 8:Comp7}{space 1}{space 1}{ralign 8:Comp8}{space 1}{space 1}{ralign 8:Comp9}{space 1}{space 1}{ralign 8:Comp10}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1993}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4482}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0722}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.7012}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0217}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3256}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1819}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2858}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1278}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1470}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2774}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4555}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0783}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1774}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1063}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3140}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2623}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4781}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4358}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2698}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3363}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1321}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3714}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0128}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3456}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1184}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5085}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0428}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0250}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5758}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2850}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0341}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4228}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0915}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.6755}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1815}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3120}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2333}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0712}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2771}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3267}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2938}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0457}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0254}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2467}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3981}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4225}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.6039}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1045}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1609}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3664}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1372}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1608}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0313}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0810}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5398}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4116}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1607}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1501}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1613}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3579}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3020}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1343}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1636}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0887}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2093}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1632}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2643}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0726}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3066}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1259}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1322}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.7816}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0877}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5762}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0420}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0535}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0399}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0215}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0968}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2773}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3520}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1220}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5614}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0587}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3793}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1745}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3513}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3990}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0708}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3184}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3771}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0143}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3333}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0170}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1301}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0685}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2030}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.7611}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0516}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3547}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3052}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0008}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0773}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0370}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3036}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3601}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0834}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1017}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5782}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}

{space 4}{hline 13}{c  TT}{hline 10}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp11}{space 1}
{space 4}{hline 13}{c   +}{hline 10}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0577}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0897}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0729}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0871}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0702}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.5276}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.6989}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0013}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0609}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0026}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.4475}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}
 
Warning: f1152008 has 773 values < 0. Used in calculations
 
Distributional summary statistics, 5 quantile groups

{hline 10}{c TT}{hline 64}
Quantile  {c |}
group     {c |}    Quantile  % of median     Share, %      L(p), %        GL(p)
{hline 10}{c +}{hline 64}
        1 {c |}      {res}-1.544     1134.251    1.017e+10    1.017e+10       -0.542
        {txt}2 {c |}      {res}-0.289      212.587    3.106e+09    1.328e+10       -0.708
        {txt}3 {c |}       {res}0.468     -343.554   -7.565e+07    1.320e+10       -0.704
        {txt}4 {c |}       {res}1.763    -1295.300   -4.472e+09    8.728e+09       -0.466
        {txt}5 {c |}            {res}                -8.728e+09      100.000       -0.000
{txt}{hline 10}{c BT}{hline 64}
Share = quantile group share of total f1152008; 
L(p)=cumulative group share; GL(p)=L(p)*mean(f1152008)
(1,487 real changes made)
(1,487 real changes made)
Now calculating 15_2010

Principal components/correlation{col 50}Number of obs    = {res}     2,461
{col 50}{txt}Number of comp.  = {res}        11
{col 50}{txt}Trace            {col 67}=  {res}       11
{col 5}{txt}Rotation: (unrotated = principal){col 50}Rho              = {res}    1.0000

{txt}{col 5}{hline 13}{c TT}{hline 60}
{col 5}   Component {c |}   Eigenvalue   Difference         Proportion   Cumulative
{col 5}{hline 13}{c +}{hline 60}
{col 5}{ralign 12:Comp1} {c |}{res}       3.0791      1.62031             0.2799       0.2799
{txt}{col 5}{ralign 12:Comp2} {c |}{res}      1.45879      .397288             0.1326       0.4125
{txt}{col 5}{ralign 12:Comp3} {c |}{res}       1.0615     .0669086             0.0965       0.5090
{txt}{col 5}{ralign 12:Comp4} {c |}{res}      .994592      .116271             0.0904       0.5995
{txt}{col 5}{ralign 12:Comp5} {c |}{res}      .878321     .0886916             0.0798       0.6793
{txt}{col 5}{ralign 12:Comp6} {c |}{res}      .789629      .122056             0.0718       0.7511
{txt}{col 5}{ralign 12:Comp7} {c |}{res}      .667574     .0589595             0.0607       0.8118
{txt}{col 5}{ralign 12:Comp8} {c |}{res}      .608614      .053924             0.0553       0.8671
{txt}{col 5}{ralign 12:Comp9} {c |}{res}       .55469     .0254864             0.0504       0.9175
{txt}{col 5}{ralign 12:Comp10} {c |}{res}      .529204      .151212             0.0481       0.9656
{txt}{col 5}{ralign 12:Comp11} {c |}{res}      .377991            .             0.0344       1.0000
{txt}{col 5}{hline 13}{c BT}{hline 60}

Principal components (eigenvectors) 

{space 4}{hline 13}{c  TT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp1}{space 1}{space 1}{ralign 8:Comp2}{space 1}{space 1}{ralign 8:Comp3}{space 1}{space 1}{ralign 8:Comp4}{space 1}{space 1}{ralign 8:Comp5}{space 1}{space 1}{ralign 8:Comp6}{space 1}{space 1}{ralign 8:Comp7}{space 1}{space 1}{ralign 8:Comp8}{space 1}{space 1}{ralign 8:Comp9}{space 1}{space 1}{ralign 8:Comp10}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1364}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2299}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5964}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4059}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3059}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5341}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0804}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0069}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1137}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0978}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2378}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2930}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4195}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1374}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1035}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.7197}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1483}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1945}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1706}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1966}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3334}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1956}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2255}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2720}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3099}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0900}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4835}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5245}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1476}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3000}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2509}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1553}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2728}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0900}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.8146}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1135}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1620}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2572}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1417}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2033}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3568}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2989}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0025}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0858}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0469}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0793}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3685}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.6754}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3009}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2916}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3730}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1634}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0057}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0846}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0501}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2982}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.6323}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2035}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4769}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2520}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3714}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2645}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0907}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1029}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0104}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1359}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4010}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2353}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.7320}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0141}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0682}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2170}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4203}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.7803}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3140}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0194}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0137}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2013}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1028}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1026}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3002}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4930}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3143}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2128}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1040}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1838}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0336}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0475}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0062}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0392}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3085}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5096}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2434}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2340}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1312}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0360}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0240}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0119}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0430}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0485}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3955}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2512}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0079}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0151}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0679}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1633}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1153}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1580}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2234}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.8108}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}

{space 4}{hline 13}{c  TT}{hline 10}{c  TT}{hline 13}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp11}{space 1}{c |}{space 1}{ralign 11:Unexplained}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{c   +}{hline 13}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0141}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0813}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0312}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0073}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0020}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0583}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0501}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0437}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.6879}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.7125}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0586}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{c  BT}{hline 13}
{txt}({bf:score} assumed)
(10 components skipped)

Scoring coefficients 
{col 5}sum of squares(column-loading) = 1

{space 4}{hline 13}{c  TT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp1}{space 1}{space 1}{ralign 8:Comp2}{space 1}{space 1}{ralign 8:Comp3}{space 1}{space 1}{ralign 8:Comp4}{space 1}{space 1}{ralign 8:Comp5}{space 1}{space 1}{ralign 8:Comp6}{space 1}{space 1}{ralign 8:Comp7}{space 1}{space 1}{ralign 8:Comp8}{space 1}{space 1}{ralign 8:Comp9}{space 1}{space 1}{ralign 8:Comp10}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1364}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2299}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5964}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4059}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3059}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5341}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0804}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0069}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1137}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0978}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2378}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2930}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4195}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1374}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1035}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.7197}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1483}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1945}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1706}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1966}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3334}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1956}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2255}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2720}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3099}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0900}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4835}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5245}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1476}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3000}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2509}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1553}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2728}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0900}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.8146}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1135}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1620}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2572}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1417}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2033}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3568}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2989}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0025}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0858}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0469}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0793}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3685}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.6754}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3009}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2916}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3730}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1634}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0057}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0846}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0501}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2982}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.6323}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2035}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4769}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2520}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3714}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2645}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0907}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1029}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0104}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1359}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4010}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2353}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.7320}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0141}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0682}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2170}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4203}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.7803}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3140}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0194}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0137}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2013}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1028}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1026}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3002}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4930}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3143}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2128}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1040}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1838}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0336}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0475}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0062}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0392}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3085}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5096}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2434}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2340}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1312}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0360}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0240}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0119}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0430}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0485}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3955}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2512}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0079}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0151}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0679}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1633}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1153}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1580}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2234}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.8108}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}

{space 4}{hline 13}{c  TT}{hline 10}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp11}{space 1}
{space 4}{hline 13}{c   +}{hline 10}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0141}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0813}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0312}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0073}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0020}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0583}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0501}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0437}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.6879}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.7125}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0586}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}
 
Warning: f1152010 has 1165 values < 0. Used in calculations
 
Distributional summary statistics, 5 quantile groups

{hline 10}{c TT}{hline 64}
Quantile  {c |}
group     {c |}    Quantile  % of median     Share, %      L(p), %        GL(p)
{hline 10}{c +}{hline 64}
        1 {c |}      {res}-1.289     -993.698   -1.130e+10   -1.130e+10       -0.567
        {txt}2 {c |}      {res}-0.512     -394.781   -2.412e+09   -1.371e+10       -0.688
        {txt}3 {c |}       {res}0.454      349.791    1.427e+08   -1.357e+10       -0.680
        {txt}4 {c |}       {res}1.662     1281.882    4.462e+09   -9.107e+09       -0.457
        {txt}5 {c |}            {res}                 9.107e+09      100.000        0.000
{txt}{hline 10}{c BT}{hline 64}
Share = quantile group share of total f1152010; 
L(p)=cumulative group share; GL(p)=L(p)*mean(f1152010)
(2,461 real changes made)
(2,461 real changes made)
Now calculating 15_2012

Principal components/correlation{col 50}Number of obs    = {res}     1,499
{col 50}{txt}Number of comp.  = {res}        11
{col 50}{txt}Trace            {col 67}=  {res}       11
{col 5}{txt}Rotation: (unrotated = principal){col 50}Rho              = {res}    1.0000

{txt}{col 5}{hline 13}{c TT}{hline 60}
{col 5}   Component {c |}   Eigenvalue   Difference         Proportion   Cumulative
{col 5}{hline 13}{c +}{hline 60}
{col 5}{ralign 12:Comp1} {c |}{res}       2.9676       1.2249             0.2698       0.2698
{txt}{col 5}{ralign 12:Comp2} {c |}{res}       1.7427      .726879             0.1584       0.4282
{txt}{col 5}{ralign 12:Comp3} {c |}{res}      1.01582     .0384285             0.0923       0.5206
{txt}{col 5}{ralign 12:Comp4} {c |}{res}      .977389      .168353             0.0889       0.6094
{txt}{col 5}{ralign 12:Comp5} {c |}{res}      .809036     .0743742             0.0735       0.6830
{txt}{col 5}{ralign 12:Comp6} {c |}{res}      .734662     .0559201             0.0668       0.7497
{txt}{col 5}{ralign 12:Comp7} {c |}{res}      .678742     .0787325             0.0617       0.8114
{txt}{col 5}{ralign 12:Comp8} {c |}{res}      .600009     .0279057             0.0545       0.8660
{txt}{col 5}{ralign 12:Comp9} {c |}{res}      .572104     .0911375             0.0520       0.9180
{txt}{col 5}{ralign 12:Comp10} {c |}{res}      .480966     .0599836             0.0437       0.9617
{txt}{col 5}{ralign 12:Comp11} {c |}{res}      .420983            .             0.0383       1.0000
{txt}{col 5}{hline 13}{c BT}{hline 60}

Principal components (eigenvectors) 

{space 4}{hline 13}{c  TT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp1}{space 1}{space 1}{ralign 8:Comp2}{space 1}{space 1}{ralign 8:Comp3}{space 1}{space 1}{ralign 8:Comp4}{space 1}{space 1}{ralign 8:Comp5}{space 1}{space 1}{ralign 8:Comp6}{space 1}{space 1}{ralign 8:Comp7}{space 1}{space 1}{ralign 8:Comp8}{space 1}{space 1}{ralign 8:Comp9}{space 1}{space 1}{ralign 8:Comp10}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3694}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3779}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0683}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0174}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0849}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3026}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1716}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0450}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0211}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0574}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3795}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2456}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1382}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0065}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3051}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4616}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0920}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0700}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2421}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3233}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2289}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4285}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2216}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1424}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3214}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2669}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5789}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1597}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0644}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3748}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3310}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1515}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2653}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1553}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2693}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.6869}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3464}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0893}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0901}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2796}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0555}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1400}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6251}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.7425}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0355}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0280}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1117}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0879}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0050}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1124}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3365}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2854}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1042}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1195}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3455}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1032}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4633}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4181}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4267}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2796}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2789}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4259}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1278}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0306}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2100}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0599}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2926}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4458}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6017}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0679}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0360}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2241}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6543}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.6115}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2662}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2289}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0592}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0611}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0495}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1123}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3297}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1964}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0538}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0535}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6324}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2025}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3740}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4010}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3093}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0877}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3778}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2265}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0071}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1071}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2836}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0190}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1381}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.6421}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4313}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2276}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3327}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4095}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0880}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0228}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0887}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2083}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1781}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0379}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3168}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.7113}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}

{space 4}{hline 13}{c  TT}{hline 10}{c  TT}{hline 13}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp11}{space 1}{c |}{space 1}{ralign 11:Unexplained}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{c   +}{hline 13}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.7627}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.5421}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.1217}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.1197}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0196}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0185}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1575}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0297}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0442}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.2106}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1503}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{c  BT}{hline 13}
{txt}({bf:score} assumed)
(10 components skipped)

Scoring coefficients 
{col 5}sum of squares(column-loading) = 1

{space 4}{hline 13}{c  TT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp1}{space 1}{space 1}{ralign 8:Comp2}{space 1}{space 1}{ralign 8:Comp3}{space 1}{space 1}{ralign 8:Comp4}{space 1}{space 1}{ralign 8:Comp5}{space 1}{space 1}{ralign 8:Comp6}{space 1}{space 1}{ralign 8:Comp7}{space 1}{space 1}{ralign 8:Comp8}{space 1}{space 1}{ralign 8:Comp9}{space 1}{space 1}{ralign 8:Comp10}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3694}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3779}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0683}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0174}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0849}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3026}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1716}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0450}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0211}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0574}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3795}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2456}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1382}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0065}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3051}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4616}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0920}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0700}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2421}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3233}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2289}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4285}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2216}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1424}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3214}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2669}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5789}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1597}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0644}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3748}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3310}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1515}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2653}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1553}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2693}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.6869}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3464}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0893}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0901}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2796}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0555}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1400}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6251}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.7425}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0355}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0280}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1117}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0879}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0050}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1124}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3365}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2854}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1042}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1195}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3455}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1032}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4633}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4181}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4267}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2796}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2789}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4259}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1278}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0306}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2100}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0599}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2926}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4458}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6017}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0679}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0360}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2241}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6543}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.6115}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2662}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2289}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0592}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0611}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0495}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1123}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3297}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1964}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0538}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0535}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6324}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2025}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3740}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4010}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3093}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0877}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3778}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2265}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0071}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1071}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2836}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0190}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1381}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.6421}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4313}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2276}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3327}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4095}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0880}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0228}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0887}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2083}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1781}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0379}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3168}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.7113}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}

{space 4}{hline 13}{c  TT}{hline 10}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp11}{space 1}
{space 4}{hline 13}{c   +}{hline 10}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.7627}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.5421}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.1217}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.1197}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0196}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0185}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1575}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0297}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0442}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.2106}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1503}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}
 
Warning: f1152012 has 647 values < 0. Used in calculations
 
Distributional summary statistics, 5 quantile groups

{hline 10}{c TT}{hline 64}
Quantile  {c |}
group     {c |}    Quantile  % of median     Share, %      L(p), %        GL(p)
{hline 10}{c +}{hline 64}
        1 {c |}      {res}-0.913     -213.363    1.548e+10    1.548e+10       -0.534
        {txt}2 {c |}      {res}-0.103      -23.995    2.343e+09    1.782e+10       -0.615
        {txt}3 {c |}       {res}0.843      196.925   -2.218e+09    1.560e+10       -0.538
        {txt}4 {c |}       {res}1.505      351.749   -7.551e+09    8.052e+09       -0.278
        {txt}5 {c |}            {res}                -8.052e+09      100.000       -0.000
{txt}{hline 10}{c BT}{hline 64}
Share = quantile group share of total f1152012; 
L(p)=cumulative group share; GL(p)=L(p)*mean(f1152012)
(1,499 real changes made)
(1,499 real changes made)
Now calculating 15_2014

Principal components/correlation{col 50}Number of obs    = {res}     1,499
{col 50}{txt}Number of comp.  = {res}        11
{col 50}{txt}Trace            {col 67}=  {res}       11
{col 5}{txt}Rotation: (unrotated = principal){col 50}Rho              = {res}    1.0000

{txt}{col 5}{hline 13}{c TT}{hline 60}
{col 5}   Component {c |}   Eigenvalue   Difference         Proportion   Cumulative
{col 5}{hline 13}{c +}{hline 60}
{col 5}{ralign 12:Comp1} {c |}{res}      2.72756      1.44026             0.2480       0.2480
{txt}{col 5}{ralign 12:Comp2} {c |}{res}      1.28731      .206208             0.1170       0.3650
{txt}{col 5}{ralign 12:Comp3} {c |}{res}       1.0811     .0958587             0.0983       0.4633
{txt}{col 5}{ralign 12:Comp4} {c |}{res}      .985239     .0383172             0.0896       0.5528
{txt}{col 5}{ralign 12:Comp5} {c |}{res}      .946922      .110715             0.0861       0.6389
{txt}{col 5}{ralign 12:Comp6} {c |}{res}      .836207     .0548477             0.0760       0.7149
{txt}{col 5}{ralign 12:Comp7} {c |}{res}      .781359      .105194             0.0710       0.7860
{txt}{col 5}{ralign 12:Comp8} {c |}{res}      .676165     .0518998             0.0615       0.8474
{txt}{col 5}{ralign 12:Comp9} {c |}{res}      .624265     .0776535             0.0568       0.9042
{txt}{col 5}{ralign 12:Comp10} {c |}{res}      .546612     .0393457             0.0497       0.9539
{txt}{col 5}{ralign 12:Comp11} {c |}{res}      .507266            .             0.0461       1.0000
{txt}{col 5}{hline 13}{c BT}{hline 60}

Principal components (eigenvectors) 

{space 4}{hline 13}{c  TT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp1}{space 1}{space 1}{ralign 8:Comp2}{space 1}{space 1}{ralign 8:Comp3}{space 1}{space 1}{ralign 8:Comp4}{space 1}{space 1}{ralign 8:Comp5}{space 1}{space 1}{ralign 8:Comp6}{space 1}{space 1}{ralign 8:Comp7}{space 1}{space 1}{ralign 8:Comp8}{space 1}{space 1}{ralign 8:Comp9}{space 1}{space 1}{ralign 8:Comp10}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1309}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2944}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1832}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.7784}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0320}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4682}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0352}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1757}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0268}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0145}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1457}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3791}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1873}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5992}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0512}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6469}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0628}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0062}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1256}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0097}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3691}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1740}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3317}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0188}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0118}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2379}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3356}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3893}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3998}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4923}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1387}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2059}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5870}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0617}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.6180}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2777}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2412}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1770}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1492}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0885}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3796}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2183}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0487}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0372}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0181}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0741}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4232}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5428}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5069}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2603}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3815}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1617}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1325}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0490}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1138}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0772}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.6594}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1531}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1900}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2740}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.4343}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2020}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0528}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0535}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0364}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0328}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3609}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0642}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0681}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1835}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0988}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1144}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6041}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0194}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.7351}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1305}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0779}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1387}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1625}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0421}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2277}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5435}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2342}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1112}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1982}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2929}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0991}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4556}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4764}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0466}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2716}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4961}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1829}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1059}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1314}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3269}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1022}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4770}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4916}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0575}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.4388}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1664}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0297}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0164}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0524}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0805}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2314}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0988}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0930}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.7522}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}

{space 4}{hline 13}{c  TT}{hline 10}{c  TT}{hline 13}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp11}{space 1}{c |}{space 1}{ralign 11:Unexplained}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{c   +}{hline 13}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0586}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0020}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0073}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1068}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0130}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.4691}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.7680}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0300}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1185}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.1685}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.3629}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{c  BT}{hline 13}
{txt}({bf:score} assumed)
(10 components skipped)

Scoring coefficients 
{col 5}sum of squares(column-loading) = 1

{space 4}{hline 13}{c  TT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp1}{space 1}{space 1}{ralign 8:Comp2}{space 1}{space 1}{ralign 8:Comp3}{space 1}{space 1}{ralign 8:Comp4}{space 1}{space 1}{ralign 8:Comp5}{space 1}{space 1}{ralign 8:Comp6}{space 1}{space 1}{ralign 8:Comp7}{space 1}{space 1}{ralign 8:Comp8}{space 1}{space 1}{ralign 8:Comp9}{space 1}{space 1}{ralign 8:Comp10}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1309}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2944}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1832}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.7784}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0320}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4682}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0352}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1757}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0268}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0145}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1457}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3791}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1873}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5992}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0512}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6469}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0628}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0062}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1256}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0097}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3691}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1740}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3317}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0188}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0118}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2379}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3356}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3893}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3998}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4923}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1387}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2059}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5870}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0617}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.6180}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2777}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2412}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1770}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1492}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0885}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3796}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2183}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0487}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0372}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0181}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0741}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4232}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5428}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5069}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2603}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3815}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1617}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1325}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0490}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1138}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0772}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.6594}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1531}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1900}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2740}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.4343}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2020}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0528}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0535}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0364}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0328}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3609}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0642}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0681}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1835}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0988}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1144}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6041}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0194}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.7351}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1305}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0779}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1387}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1625}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0421}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2277}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5435}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2342}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1112}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1982}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2929}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0991}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4556}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4764}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0466}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2716}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4961}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1829}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1059}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1314}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3269}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1022}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4770}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4916}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0575}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.4388}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1664}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0297}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0164}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0524}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0805}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2314}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0988}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0930}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.7522}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}

{space 4}{hline 13}{c  TT}{hline 10}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp11}{space 1}
{space 4}{hline 13}{c   +}{hline 10}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0586}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0020}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0073}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1068}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0130}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.4691}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.7680}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0300}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1185}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.1685}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.3629}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}
 
Warning: f1152014 has 709 values < 0. Used in calculations
 
Distributional summary statistics, 5 quantile groups

{hline 10}{c TT}{hline 64}
Quantile  {c |}
group     {c |}    Quantile  % of median     Share, %      L(p), %        GL(p)
{hline 10}{c +}{hline 64}
        1 {c |}      {res}-1.436     -632.419   -8.411e+09   -8.411e+09       -0.487
        {txt}2 {c |}      {res}-0.312     -137.276   -3.333e+09   -1.174e+10       -0.679
        {txt}3 {c |}       {res}0.569      250.431    7.475e+08   -1.100e+10       -0.636
        {txt}4 {c |}       {res}1.551      683.102    3.892e+09   -7.104e+09       -0.411
        {txt}5 {c |}            {res}                 7.104e+09      100.000        0.000
{txt}{hline 10}{c BT}{hline 64}
Share = quantile group share of total f1152014; 
L(p)=cumulative group share; GL(p)=L(p)*mean(f1152014)
(1,499 real changes made)
(1,499 real changes made)
Now calculating 15_2016

Principal components/correlation{col 50}Number of obs    = {res}     1,519
{col 50}{txt}Number of comp.  = {res}        11
{col 50}{txt}Trace            {col 67}=  {res}       11
{col 5}{txt}Rotation: (unrotated = principal){col 50}Rho              = {res}    1.0000

{txt}{col 5}{hline 13}{c TT}{hline 60}
{col 5}   Component {c |}   Eigenvalue   Difference         Proportion   Cumulative
{col 5}{hline 13}{c +}{hline 60}
{col 5}{ralign 12:Comp1} {c |}{res}      2.47942      1.29116             0.2254       0.2254
{txt}{col 5}{ralign 12:Comp2} {c |}{res}      1.18826     .0288524             0.1080       0.3334
{txt}{col 5}{ralign 12:Comp3} {c |}{res}      1.15941      .128311             0.1054       0.4388
{txt}{col 5}{ralign 12:Comp4} {c |}{res}       1.0311      .129958             0.0937       0.5326
{txt}{col 5}{ralign 12:Comp5} {c |}{res}      .901142     .0566627             0.0819       0.6145
{txt}{col 5}{ralign 12:Comp6} {c |}{res}      .844479     .0869264             0.0768       0.6913
{txt}{col 5}{ralign 12:Comp7} {c |}{res}      .757553      .028304             0.0689       0.7601
{txt}{col 5}{ralign 12:Comp8} {c |}{res}      .729248     .0290094             0.0663       0.8264
{txt}{col 5}{ralign 12:Comp9} {c |}{res}      .700239     .0765579             0.0637       0.8901
{txt}{col 5}{ralign 12:Comp10} {c |}{res}      .623681      .038214             0.0567       0.9468
{txt}{col 5}{ralign 12:Comp11} {c |}{res}      .585467            .             0.0532       1.0000
{txt}{col 5}{hline 13}{c BT}{hline 60}

Principal components (eigenvectors) 

{space 4}{hline 13}{c  TT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp1}{space 1}{space 1}{ralign 8:Comp2}{space 1}{space 1}{ralign 8:Comp3}{space 1}{space 1}{ralign 8:Comp4}{space 1}{space 1}{ralign 8:Comp5}{space 1}{space 1}{ralign 8:Comp6}{space 1}{space 1}{ralign 8:Comp7}{space 1}{space 1}{ralign 8:Comp8}{space 1}{space 1}{ralign 8:Comp9}{space 1}{space 1}{ralign 8:Comp10}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1363}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3154}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0460}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6165}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6701}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0654}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0074}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1767}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1079}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0498}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2046}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3138}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3509}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2655}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3827}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6849}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0556}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0834}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1988}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0148}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3477}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2036}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4025}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0106}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0489}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2631}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3041}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3666}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3320}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1638}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2233}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4247}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3120}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0010}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3917}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.6115}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0192}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2253}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1483}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0939}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3957}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0788}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0946}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2644}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2491}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0446}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1873}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0638}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5849}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5595}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.4081}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0092}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0461}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1135}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0819}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0136}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0896}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.6364}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4753}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3358}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.4191}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0936}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1614}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1337}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0372}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1301}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1228}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3783}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3301}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5884}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1415}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3977}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1832}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.6626}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3607}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2254}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0218}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0674}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2681}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2867}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1619}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5236}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4557}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0181}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1123}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0158}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.6030}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2395}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2160}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0255}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1999}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3590}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5399}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0120}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1390}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0635}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6927}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1082}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1438}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0224}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.4288}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0622}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2135}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0954}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1286}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0963}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0433}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3884}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0210}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3259}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}

{space 4}{hline 13}{c  TT}{hline 10}{c  TT}{hline 13}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp11}{space 1}{c |}{space 1}{ralign 11:Unexplained}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{c   +}{hline 13}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0324}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0265}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.4899}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2514}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0065}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.2442}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3741}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0957}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1022}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0584}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.6873}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{c  BT}{hline 13}
{txt}({bf:score} assumed)
(10 components skipped)

Scoring coefficients 
{col 5}sum of squares(column-loading) = 1

{space 4}{hline 13}{c  TT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp1}{space 1}{space 1}{ralign 8:Comp2}{space 1}{space 1}{ralign 8:Comp3}{space 1}{space 1}{ralign 8:Comp4}{space 1}{space 1}{ralign 8:Comp5}{space 1}{space 1}{ralign 8:Comp6}{space 1}{space 1}{ralign 8:Comp7}{space 1}{space 1}{ralign 8:Comp8}{space 1}{space 1}{ralign 8:Comp9}{space 1}{space 1}{ralign 8:Comp10}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1363}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3154}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0460}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6165}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6701}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0654}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0074}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1767}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1079}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0498}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2046}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3138}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3509}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2655}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3827}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6849}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0556}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0834}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1988}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0148}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3477}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2036}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4025}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0106}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0489}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2631}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3041}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3666}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3320}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1638}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2233}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4247}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3120}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0010}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3917}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.6115}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0192}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2253}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1483}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0939}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3957}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0788}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0946}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2644}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2491}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0446}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1873}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0638}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5849}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5595}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.4081}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0092}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0461}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1135}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0819}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0136}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0896}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.6364}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4753}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3358}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.4191}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0936}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1614}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1337}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0372}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1301}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1228}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3783}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3301}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5884}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1415}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3977}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1832}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.6626}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3607}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2254}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0218}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0674}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2681}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2867}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1619}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5236}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4557}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0181}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1123}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0158}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.6030}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2395}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2160}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0255}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1999}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3590}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5399}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0120}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1390}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0635}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6927}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1082}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1438}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0224}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.4288}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0622}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2135}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0954}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1286}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0963}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0433}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3884}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0210}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3259}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}

{space 4}{hline 13}{c  TT}{hline 10}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp11}{space 1}
{space 4}{hline 13}{c   +}{hline 10}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0324}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0265}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.4899}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2514}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0065}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.2442}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3741}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0957}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1022}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0584}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.6873}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}
 
Warning: f1152016 has 772 values < 0. Used in calculations
 
Distributional summary statistics, 5 quantile groups

{hline 10}{c TT}{hline 64}
Quantile  {c |}
group     {c |}    Quantile  % of median     Share, %      L(p), %        GL(p)
{hline 10}{c +}{hline 64}
        1 {c |}      {res}-1.391     1023.370    2.259e+10    2.259e+10       -0.460
        {txt}2 {c |}      {res}-0.233      171.679    8.319e+09    3.091e+10       -0.630
        {txt}3 {c |}       {res}0.548     -402.823   -6.294e+08    3.028e+10       -0.617
        {txt}4 {c |}       {res}1.465    -1077.777   -1.087e+10    1.941e+10       -0.395
        {txt}5 {c |}            {res}                -1.941e+10      100.000       -0.000
{txt}{hline 10}{c BT}{hline 64}
Share = quantile group share of total f1152016; 
L(p)=cumulative group share; GL(p)=L(p)*mean(f1152016)
(1,519 real changes made)
(1,519 real changes made)
Now calculating 16_2006

Principal components/correlation{col 50}Number of obs    = {res}     1,510
{col 50}{txt}Number of comp.  = {res}        11
{col 50}{txt}Trace            {col 67}=  {res}       11
{col 5}{txt}Rotation: (unrotated = principal){col 50}Rho              = {res}    1.0000

{txt}{col 5}{hline 13}{c TT}{hline 60}
{col 5}   Component {c |}   Eigenvalue   Difference         Proportion   Cumulative
{col 5}{hline 13}{c +}{hline 60}
{col 5}{ralign 12:Comp1} {c |}{res}      2.54758      1.16826             0.2316       0.2316
{txt}{col 5}{ralign 12:Comp2} {c |}{res}      1.37932      .278512             0.1254       0.3570
{txt}{col 5}{ralign 12:Comp3} {c |}{res}      1.10081      .118792             0.1001       0.4571
{txt}{col 5}{ralign 12:Comp4} {c |}{res}       .98202      .074994             0.0893       0.5463
{txt}{col 5}{ralign 12:Comp5} {c |}{res}      .907026      .047641             0.0825       0.6288
{txt}{col 5}{ralign 12:Comp6} {c |}{res}      .859385     .0859123             0.0781       0.7069
{txt}{col 5}{ralign 12:Comp7} {c |}{res}      .773473     .0678556             0.0703       0.7772
{txt}{col 5}{ralign 12:Comp8} {c |}{res}      .705618     .0798311             0.0641       0.8414
{txt}{col 5}{ralign 12:Comp9} {c |}{res}      .625787      .038029             0.0569       0.8983
{txt}{col 5}{ralign 12:Comp10} {c |}{res}      .587757     .0565461             0.0534       0.9517
{txt}{col 5}{ralign 12:Comp11} {c |}{res}      .531211            .             0.0483       1.0000
{txt}{col 5}{hline 13}{c BT}{hline 60}

Principal components (eigenvectors) 

{space 4}{hline 13}{c  TT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp1}{space 1}{space 1}{ralign 8:Comp2}{space 1}{space 1}{ralign 8:Comp3}{space 1}{space 1}{ralign 8:Comp4}{space 1}{space 1}{ralign 8:Comp5}{space 1}{space 1}{ralign 8:Comp6}{space 1}{space 1}{ralign 8:Comp7}{space 1}{space 1}{ralign 8:Comp8}{space 1}{space 1}{ralign 8:Comp9}{space 1}{space 1}{ralign 8:Comp10}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1401}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3510}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6324}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1438}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0518}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1072}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5367}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1598}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2658}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1852}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1526}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4575}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1253}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2231}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.6593}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0592}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4240}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0550}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1435}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2067}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3589}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2025}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0621}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0497}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0819}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4916}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2941}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5634}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3209}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2344}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2430}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0760}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4744}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0461}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5913}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3005}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4034}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2840}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0526}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1308}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3300}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2888}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0288}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0129}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1183}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5682}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3444}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3598}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3199}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3189}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3729}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0607}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0850}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0938}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1316}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4881}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3097}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6038}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2456}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0130}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.4463}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1822}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0950}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0885}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0873}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0025}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1320}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0345}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3090}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4967}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0738}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1542}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1920}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.9489}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1484}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0793}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0178}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0187}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0092}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0622}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2526}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4947}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3477}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0492}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1538}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1920}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1655}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1314}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4532}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4721}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2693}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4275}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4195}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0559}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2620}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0928}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1287}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0962}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4137}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5233}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.4247}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2217}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0684}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0468}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2304}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2005}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0826}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2264}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4102}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0406}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}

{space 4}{hline 13}{c  TT}{hline 10}{c  TT}{hline 13}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp11}{space 1}{c |}{space 1}{ralign 11:Unexplained}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{c   +}{hline 13}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0628}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1329}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1170}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0698}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1334}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.2543}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.6183}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0230}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.1863}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1323}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.6651}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{c  BT}{hline 13}
{txt}({bf:score} assumed)
(10 components skipped)

Scoring coefficients 
{col 5}sum of squares(column-loading) = 1

{space 4}{hline 13}{c  TT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp1}{space 1}{space 1}{ralign 8:Comp2}{space 1}{space 1}{ralign 8:Comp3}{space 1}{space 1}{ralign 8:Comp4}{space 1}{space 1}{ralign 8:Comp5}{space 1}{space 1}{ralign 8:Comp6}{space 1}{space 1}{ralign 8:Comp7}{space 1}{space 1}{ralign 8:Comp8}{space 1}{space 1}{ralign 8:Comp9}{space 1}{space 1}{ralign 8:Comp10}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1401}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3510}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6324}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1438}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0518}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1072}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5367}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1598}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2658}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1852}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1526}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4575}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1253}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2231}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.6593}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0592}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4240}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0550}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1435}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2067}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3589}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2025}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0621}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0497}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0819}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4916}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2941}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5634}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3209}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2344}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2430}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0760}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4744}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0461}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5913}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3005}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4034}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2840}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0526}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1308}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3300}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2888}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0288}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0129}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1183}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5682}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3444}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3598}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3199}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3189}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3729}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0607}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0850}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0938}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1316}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4881}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3097}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6038}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2456}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0130}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.4463}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1822}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0950}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0885}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0873}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0025}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1320}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0345}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3090}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4967}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0738}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1542}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1920}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.9489}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1484}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0793}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0178}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0187}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0092}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0622}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2526}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4947}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3477}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0492}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1538}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1920}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1655}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1314}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4532}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4721}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2693}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4275}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4195}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0559}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2620}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0928}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1287}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0962}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4137}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5233}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.4247}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2217}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0684}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0468}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2304}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2005}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0826}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2264}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4102}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0406}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}

{space 4}{hline 13}{c  TT}{hline 10}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp11}{space 1}
{space 4}{hline 13}{c   +}{hline 10}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0628}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1329}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1170}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0698}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1334}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.2543}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.6183}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0230}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.1863}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1323}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.6651}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}
 
Warning: f1162006 has 777 values < 0. Used in calculations
 
Distributional summary statistics, 5 quantile groups

{hline 10}{c TT}{hline 64}
Quantile  {c |}
group     {c |}    Quantile  % of median     Share, %      L(p), %        GL(p)
{hline 10}{c +}{hline 64}
        1 {c |}      {res}-1.472     2471.009    5.692e+09    5.692e+09       -0.459
        {txt}2 {c |}      {res}-0.401      673.553    2.182e+09    7.874e+09       -0.635
        {txt}3 {c |}       {res}0.497     -835.244   -8.614e+07    7.788e+09       -0.628
        {txt}4 {c |}       {res}1.570    -2636.729   -2.460e+09    5.328e+09       -0.429
        {txt}5 {c |}            {res}                -5.328e+09      100.000       -0.000
{txt}{hline 10}{c BT}{hline 64}
Share = quantile group share of total f1162006; 
L(p)=cumulative group share; GL(p)=L(p)*mean(f1162006)
(1,510 real changes made)
(1,510 real changes made)
Now calculating 16_2008

Principal components/correlation{col 50}Number of obs    = {res}     1,500
{col 50}{txt}Number of comp.  = {res}        11
{col 50}{txt}Trace            {col 67}=  {res}       11
{col 5}{txt}Rotation: (unrotated = principal){col 50}Rho              = {res}    1.0000

{txt}{col 5}{hline 13}{c TT}{hline 60}
{col 5}   Component {c |}   Eigenvalue   Difference         Proportion   Cumulative
{col 5}{hline 13}{c +}{hline 60}
{col 5}{ralign 12:Comp1} {c |}{res}      2.92352      1.53846             0.2658       0.2658
{txt}{col 5}{ralign 12:Comp2} {c |}{res}      1.38506      .286009             0.1259       0.3917
{txt}{col 5}{ralign 12:Comp3} {c |}{res}      1.09905     .0727156             0.0999       0.4916
{txt}{col 5}{ralign 12:Comp4} {c |}{res}      1.02634      .159678             0.0933       0.5849
{txt}{col 5}{ralign 12:Comp5} {c |}{res}      .866659      .065029             0.0788       0.6637
{txt}{col 5}{ralign 12:Comp6} {c |}{res}       .80163       .14829             0.0729       0.7366
{txt}{col 5}{ralign 12:Comp7} {c |}{res}       .65334     .0517744             0.0594       0.7960
{txt}{col 5}{ralign 12:Comp8} {c |}{res}      .601565    .00377142             0.0547       0.8507
{txt}{col 5}{ralign 12:Comp9} {c |}{res}      .597794     .0668312             0.0543       0.9050
{txt}{col 5}{ralign 12:Comp10} {c |}{res}      .530963     .0168841             0.0483       0.9533
{txt}{col 5}{ralign 12:Comp11} {c |}{res}      .514079            .             0.0467       1.0000
{txt}{col 5}{hline 13}{c BT}{hline 60}

Principal components (eigenvectors) 

{space 4}{hline 13}{c  TT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp1}{space 1}{space 1}{ralign 8:Comp2}{space 1}{space 1}{ralign 8:Comp3}{space 1}{space 1}{ralign 8:Comp4}{space 1}{space 1}{ralign 8:Comp5}{space 1}{space 1}{ralign 8:Comp6}{space 1}{space 1}{ralign 8:Comp7}{space 1}{space 1}{ralign 8:Comp8}{space 1}{space 1}{ralign 8:Comp9}{space 1}{space 1}{ralign 8:Comp10}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2226}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6053}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1074}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2254}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0417}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1262}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1061}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0099}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1299}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.6203}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2365}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5923}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1377}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1364}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1351}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1594}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0684}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0588}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1926}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6543}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3075}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0736}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1752}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5032}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3335}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1742}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5650}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3908}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0167}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0184}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2799}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0258}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1868}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1100}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.8059}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3281}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0459}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3185}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1031}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0451}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3009}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3141}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1440}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1728}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0011}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.6719}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1775}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4134}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2437}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1259}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3524}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1037}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1563}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3679}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1641}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1801}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.7297}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0592}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0239}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1650}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.4122}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1909}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0932}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1037}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0235}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1486}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0661}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5488}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0117}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2115}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1641}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2158}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0934}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6876}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4211}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4869}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0362}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1577}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0443}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0221}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2597}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0066}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6988}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0360}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0553}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0595}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0871}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2136}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5966}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0781}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3141}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0685}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5800}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0210}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0900}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0961}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1277}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0931}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.6776}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1052}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3796}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2821}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1289}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1219}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0578}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2548}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2631}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4330}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2409}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2817}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}

{space 4}{hline 13}{c  TT}{hline 10}{c  TT}{hline 13}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp11}{space 1}{c |}{space 1}{ralign 11:Unexplained}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{c   +}{hline 13}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.3019}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1967}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0446}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0269}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.1764}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2868}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.6334}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0453}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.1449}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2177}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.5315}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{c  BT}{hline 13}
{txt}({bf:score} assumed)
(10 components skipped)

Scoring coefficients 
{col 5}sum of squares(column-loading) = 1

{space 4}{hline 13}{c  TT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp1}{space 1}{space 1}{ralign 8:Comp2}{space 1}{space 1}{ralign 8:Comp3}{space 1}{space 1}{ralign 8:Comp4}{space 1}{space 1}{ralign 8:Comp5}{space 1}{space 1}{ralign 8:Comp6}{space 1}{space 1}{ralign 8:Comp7}{space 1}{space 1}{ralign 8:Comp8}{space 1}{space 1}{ralign 8:Comp9}{space 1}{space 1}{ralign 8:Comp10}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2226}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6053}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1074}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2254}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0417}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1262}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1061}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0099}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1299}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.6203}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2365}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5923}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1377}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1364}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1351}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1594}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0684}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0588}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1926}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6543}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3075}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0736}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1752}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5032}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3335}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1742}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5650}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3908}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0167}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0184}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2799}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0258}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1868}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1100}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.8059}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3281}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0459}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3185}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1031}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0451}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3009}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3141}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1440}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1728}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0011}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.6719}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1775}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4134}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2437}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1259}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3524}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1037}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1563}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3679}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1641}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1801}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.7297}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0592}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0239}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1650}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.4122}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1909}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0932}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1037}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0235}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1486}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0661}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5488}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0117}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2115}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1641}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2158}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0934}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6876}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4211}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4869}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0362}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1577}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0443}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0221}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2597}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0066}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6988}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0360}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0553}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0595}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0871}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2136}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5966}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0781}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3141}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0685}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5800}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0210}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0900}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0961}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1277}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0931}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.6776}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1052}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3796}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2821}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1289}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1219}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0578}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2548}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2631}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4330}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2409}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2817}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}

{space 4}{hline 13}{c  TT}{hline 10}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp11}{space 1}
{space 4}{hline 13}{c   +}{hline 10}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.3019}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1967}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0446}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0269}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.1764}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2868}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.6334}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0453}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.1449}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2177}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.5315}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}
 
Warning: f1162008 has 691 values < 0. Used in calculations
 
Distributional summary statistics, 5 quantile groups

{hline 10}{c TT}{hline 64}
Quantile  {c |}
group     {c |}    Quantile  % of median     Share, %      L(p), %        GL(p)
{hline 10}{c +}{hline 64}
        1 {c |}      {res}-1.379    -1675.658   -1.030e+10   -1.030e+10       -0.501
        {txt}2 {c |}      {res}-0.547     -663.904   -3.584e+09   -1.388e+10       -0.675
        {txt}3 {c |}       {res}0.529      642.719    3.429e+08   -1.354e+10       -0.659
        {txt}4 {c |}       {res}1.732     2103.552    6.100e+09   -7.441e+09       -0.362
        {txt}5 {c |}            {res}                 7.441e+09      100.000        0.000
{txt}{hline 10}{c BT}{hline 64}
Share = quantile group share of total f1162008; 
L(p)=cumulative group share; GL(p)=L(p)*mean(f1162008)
(1,500 real changes made)
(1,500 real changes made)
Now calculating 16_2010

Principal components/correlation{col 50}Number of obs    = {res}     1,500
{col 50}{txt}Number of comp.  = {res}        11
{col 50}{txt}Trace            {col 67}=  {res}       11
{col 5}{txt}Rotation: (unrotated = principal){col 50}Rho              = {res}    1.0000

{txt}{col 5}{hline 13}{c TT}{hline 60}
{col 5}   Component {c |}   Eigenvalue   Difference         Proportion   Cumulative
{col 5}{hline 13}{c +}{hline 60}
{col 5}{ralign 12:Comp1} {c |}{res}      2.59246      1.19448             0.2357       0.2357
{txt}{col 5}{ralign 12:Comp2} {c |}{res}      1.39798      .177018             0.1271       0.3628
{txt}{col 5}{ralign 12:Comp3} {c |}{res}      1.22096      .182814             0.1110       0.4738
{txt}{col 5}{ralign 12:Comp4} {c |}{res}      1.03815      .132675             0.0944       0.5681
{txt}{col 5}{ralign 12:Comp5} {c |}{res}      .905473      .113254             0.0823       0.6505
{txt}{col 5}{ralign 12:Comp6} {c |}{res}      .792219     .0284851             0.0720       0.7225
{txt}{col 5}{ralign 12:Comp7} {c |}{res}      .763734      .131965             0.0694       0.7919
{txt}{col 5}{ralign 12:Comp8} {c |}{res}       .63177     .0121248             0.0574       0.8493
{txt}{col 5}{ralign 12:Comp9} {c |}{res}      .619645     .0781191             0.0563       0.9057
{txt}{col 5}{ralign 12:Comp10} {c |}{res}      .541526     .0454404             0.0492       0.9549
{txt}{col 5}{ralign 12:Comp11} {c |}{res}      .496085            .             0.0451       1.0000
{txt}{col 5}{hline 13}{c BT}{hline 60}

Principal components (eigenvectors) 

{space 4}{hline 13}{c  TT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp1}{space 1}{space 1}{ralign 8:Comp2}{space 1}{space 1}{ralign 8:Comp3}{space 1}{space 1}{ralign 8:Comp4}{space 1}{space 1}{ralign 8:Comp5}{space 1}{space 1}{ralign 8:Comp6}{space 1}{space 1}{ralign 8:Comp7}{space 1}{space 1}{ralign 8:Comp8}{space 1}{space 1}{ralign 8:Comp9}{space 1}{space 1}{ralign 8:Comp10}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1562}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6213}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1891}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0783}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0310}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3825}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0256}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0705}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4347}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4072}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1714}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6511}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0175}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1349}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1197}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0212}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0116}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0296}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5289}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4497}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3322}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0279}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2600}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1606}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2607}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2491}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.7592}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2397}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0217}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1117}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2513}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1022}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0250}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5301}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5161}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5344}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1791}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0808}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2224}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0637}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3163}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1495}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3488}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0489}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5133}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2587}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1850}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5762}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0765}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2088}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3507}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1799}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0989}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0322}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4426}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5317}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0809}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4922}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2869}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1058}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.4355}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0327}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1312}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0508}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1957}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1730}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3273}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4284}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1917}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4409}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1149}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1946}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0593}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.8025}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3055}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2476}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3334}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1486}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0943}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0674}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2749}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1463}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6318}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0189}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1813}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0104}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1935}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1116}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2810}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1926}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3239}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1720}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5458}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0578}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1348}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1522}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1438}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0022}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3911}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1320}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.4079}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1849}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2157}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1228}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0917}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2037}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2713}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3713}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3400}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5543}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}

{space 4}{hline 13}{c  TT}{hline 10}{c  TT}{hline 13}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp11}{space 1}{c |}{space 1}{ralign 11:Unexplained}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{c   +}{hline 13}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2002}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.1745}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1367}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0276}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0871}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1137}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.4466}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0069}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.5519}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.5760}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2315}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{c  BT}{hline 13}
{txt}({bf:score} assumed)
(10 components skipped)

Scoring coefficients 
{col 5}sum of squares(column-loading) = 1

{space 4}{hline 13}{c  TT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp1}{space 1}{space 1}{ralign 8:Comp2}{space 1}{space 1}{ralign 8:Comp3}{space 1}{space 1}{ralign 8:Comp4}{space 1}{space 1}{ralign 8:Comp5}{space 1}{space 1}{ralign 8:Comp6}{space 1}{space 1}{ralign 8:Comp7}{space 1}{space 1}{ralign 8:Comp8}{space 1}{space 1}{ralign 8:Comp9}{space 1}{space 1}{ralign 8:Comp10}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1562}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6213}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1891}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0783}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0310}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3825}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0256}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0705}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4347}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4072}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1714}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6511}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0175}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1349}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1197}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0212}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0116}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0296}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5289}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4497}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3322}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0279}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2600}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1606}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2607}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2491}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.7592}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2397}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0217}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1117}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2513}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1022}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0250}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5301}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5161}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5344}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1791}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0808}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2224}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0637}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3163}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1495}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3488}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0489}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5133}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2587}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1850}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5762}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0765}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2088}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3507}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1799}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0989}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0322}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4426}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5317}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0809}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4922}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2869}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1058}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.4355}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0327}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1312}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0508}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1957}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1730}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3273}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4284}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1917}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4409}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1149}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1946}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0593}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.8025}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3055}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2476}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3334}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1486}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0943}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0674}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2749}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1463}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6318}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0189}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1813}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0104}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1935}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1116}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2810}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1926}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3239}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1720}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5458}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0578}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1348}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1522}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1438}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0022}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3911}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1320}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.4079}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1849}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2157}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1228}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0917}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2037}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2713}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3713}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3400}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5543}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}

{space 4}{hline 13}{c  TT}{hline 10}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp11}{space 1}
{space 4}{hline 13}{c   +}{hline 10}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2002}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.1745}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1367}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0276}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0871}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1137}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.4466}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0069}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.5519}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.5760}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2315}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}
 
Warning: f1162010 has 723 values < 0. Used in calculations
 
Distributional summary statistics, 5 quantile groups

{hline 10}{c TT}{hline 64}
Quantile  {c |}
group     {c |}    Quantile  % of median     Share, %      L(p), %        GL(p)
{hline 10}{c +}{hline 64}
        1 {c |}      {res}-1.307    -1040.330   -7.215e+09   -7.215e+09       -0.500
        {txt}2 {c |}      {res}-0.360     -286.657   -2.156e+09   -9.372e+09       -0.649
        {txt}3 {c |}       {res}0.643      512.186    6.009e+08   -8.771e+09       -0.608
        {txt}4 {c |}       {res}1.656     1318.736    3.507e+09   -5.264e+09       -0.365
        {txt}5 {c |}            {res}                 5.264e+09      100.000        0.000
{txt}{hline 10}{c BT}{hline 64}
Share = quantile group share of total f1162010; 
L(p)=cumulative group share; GL(p)=L(p)*mean(f1162010)
(1,500 real changes made)
(1,500 real changes made)
Now calculating 16_2012

Principal components/correlation{col 50}Number of obs    = {res}     1,500
{col 50}{txt}Number of comp.  = {res}        11
{col 50}{txt}Trace            {col 67}=  {res}       11
{col 5}{txt}Rotation: (unrotated = principal){col 50}Rho              = {res}    1.0000

{txt}{col 5}{hline 13}{c TT}{hline 60}
{col 5}   Component {c |}   Eigenvalue   Difference         Proportion   Cumulative
{col 5}{hline 13}{c +}{hline 60}
{col 5}{ralign 12:Comp1} {c |}{res}      2.45628      1.10701             0.2233       0.2233
{txt}{col 5}{ralign 12:Comp2} {c |}{res}      1.34928      .223507             0.1227       0.3460
{txt}{col 5}{ralign 12:Comp3} {c |}{res}      1.12577      .155126             0.1023       0.4483
{txt}{col 5}{ralign 12:Comp4} {c |}{res}      .970642     .0811971             0.0882       0.5365
{txt}{col 5}{ralign 12:Comp5} {c |}{res}      .889445       .07232             0.0809       0.6174
{txt}{col 5}{ralign 12:Comp6} {c |}{res}      .817125     .0143273             0.0743       0.6917
{txt}{col 5}{ralign 12:Comp7} {c |}{res}      .802798     .0779627             0.0730       0.7647
{txt}{col 5}{ralign 12:Comp8} {c |}{res}      .724835     .0373148             0.0659       0.8306
{txt}{col 5}{ralign 12:Comp9} {c |}{res}       .68752     .0599421             0.0625       0.8931
{txt}{col 5}{ralign 12:Comp10} {c |}{res}      .627578     .0788496             0.0571       0.9501
{txt}{col 5}{ralign 12:Comp11} {c |}{res}      .548729            .             0.0499       1.0000
{txt}{col 5}{hline 13}{c BT}{hline 60}

Principal components (eigenvectors) 

{space 4}{hline 13}{c  TT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp1}{space 1}{space 1}{ralign 8:Comp2}{space 1}{space 1}{ralign 8:Comp3}{space 1}{space 1}{ralign 8:Comp4}{space 1}{space 1}{ralign 8:Comp5}{space 1}{space 1}{ralign 8:Comp6}{space 1}{space 1}{ralign 8:Comp7}{space 1}{space 1}{ralign 8:Comp8}{space 1}{space 1}{ralign 8:Comp9}{space 1}{space 1}{ralign 8:Comp10}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2143}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4762}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2348}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0216}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1871}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2279}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6101}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3472}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1964}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1999}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2580}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4733}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2935}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0083}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0726}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3091}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0568}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4610}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3581}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3864}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3264}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2064}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1358}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2830}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2617}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6793}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2807}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0921}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0525}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0757}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2258}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0794}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4257}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0792}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.7861}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2333}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2302}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0137}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1495}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0126}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3314}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3569}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0577}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0387}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0081}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3787}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3074}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5541}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2741}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3597}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3672}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1445}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1595}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1808}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3334}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1504}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5472}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0283}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1576}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5661}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.4013}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2130}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1019}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0900}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3237}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2735}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2344}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2091}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0722}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5064}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0960}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2614}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2476}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.8579}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1497}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2948}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0237}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0613}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0941}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0459}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2620}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2695}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4960}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2773}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1821}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0467}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1503}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3675}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5687}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1377}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2583}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2537}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5588}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2083}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0367}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0707}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0484}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3280}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5986}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1911}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.4240}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3185}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0179}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1211}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0191}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0418}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1362}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2455}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1102}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2022}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}

{space 4}{hline 13}{c  TT}{hline 10}{c  TT}{hline 13}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp11}{space 1}{c |}{space 1}{ralign 11:Unexplained}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{c   +}{hline 13}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1164}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.1705}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3560}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0847}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0915}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0827}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.4850}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0262}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0196}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0459}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.7549}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{c  BT}{hline 13}
{txt}({bf:score} assumed)
(10 components skipped)

Scoring coefficients 
{col 5}sum of squares(column-loading) = 1

{space 4}{hline 13}{c  TT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp1}{space 1}{space 1}{ralign 8:Comp2}{space 1}{space 1}{ralign 8:Comp3}{space 1}{space 1}{ralign 8:Comp4}{space 1}{space 1}{ralign 8:Comp5}{space 1}{space 1}{ralign 8:Comp6}{space 1}{space 1}{ralign 8:Comp7}{space 1}{space 1}{ralign 8:Comp8}{space 1}{space 1}{ralign 8:Comp9}{space 1}{space 1}{ralign 8:Comp10}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2143}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4762}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2348}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0216}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1871}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2279}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6101}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3472}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1964}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1999}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2580}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4733}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2935}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0083}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0726}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3091}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0568}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4610}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3581}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3864}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3264}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2064}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1358}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2830}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2617}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6793}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2807}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0921}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0525}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0757}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2258}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0794}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4257}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0792}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.7861}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2333}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2302}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0137}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1495}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0126}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3314}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3569}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0577}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0387}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0081}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3787}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3074}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5541}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2741}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3597}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3672}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1445}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1595}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1808}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3334}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1504}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5472}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0283}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1576}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5661}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.4013}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2130}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1019}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0900}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3237}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2735}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2344}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2091}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0722}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5064}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0960}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2614}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2476}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.8579}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1497}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2948}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0237}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0613}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0941}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0459}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2620}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2695}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4960}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2773}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1821}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0467}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1503}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3675}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5687}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1377}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2583}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2537}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5588}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2083}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0367}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0707}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0484}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3280}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5986}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1911}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.4240}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3185}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0179}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1211}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0191}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0418}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1362}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2455}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1102}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2022}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}

{space 4}{hline 13}{c  TT}{hline 10}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp11}{space 1}
{space 4}{hline 13}{c   +}{hline 10}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1164}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.1705}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3560}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0847}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0915}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0827}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.4850}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0262}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0196}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0459}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.7549}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}
 
Warning: f1162012 has 641 values < 0. Used in calculations
 
Distributional summary statistics, 5 quantile groups

{hline 10}{c TT}{hline 64}
Quantile  {c |}
group     {c |}    Quantile  % of median     Share, %      L(p), %        GL(p)
{hline 10}{c +}{hline 64}
        1 {c |}      {res}-1.240     -466.336    2.416e+10    2.416e+10       -0.501
        {txt}2 {c |}      {res}-0.360     -135.260    5.147e+09    2.930e+10       -0.608
        {txt}3 {c |}       {res}0.550      207.076   -2.198e+09    2.710e+10       -0.562
        {txt}4 {c |}       {res}1.399      526.242   -1.027e+10    1.684e+10       -0.349
        {txt}5 {c |}            {res}                -1.684e+10      100.000       -0.000
{txt}{hline 10}{c BT}{hline 64}
Share = quantile group share of total f1162012; 
L(p)=cumulative group share; GL(p)=L(p)*mean(f1162012)
(1,500 real changes made)
(1,500 real changes made)
Now calculating 16_2014

Principal components/correlation{col 50}Number of obs    = {res}     1,471
{col 50}{txt}Number of comp.  = {res}        11
{col 50}{txt}Trace            {col 67}=  {res}       11
{col 5}{txt}Rotation: (unrotated = principal){col 50}Rho              = {res}    1.0000

{txt}{col 5}{hline 13}{c TT}{hline 60}
{col 5}   Component {c |}   Eigenvalue   Difference         Proportion   Cumulative
{col 5}{hline 13}{c +}{hline 60}
{col 5}{ralign 12:Comp1} {c |}{res}      2.32163      1.17232             0.2111       0.2111
{txt}{col 5}{ralign 12:Comp2} {c |}{res}      1.14931      .117616             0.1045       0.3155
{txt}{col 5}{ralign 12:Comp3} {c |}{res}       1.0317     .0303472             0.0938       0.4093
{txt}{col 5}{ralign 12:Comp4} {c |}{res}      1.00135      .049149             0.0910       0.5004
{txt}{col 5}{ralign 12:Comp5} {c |}{res}      .952202     .0371188             0.0866       0.5869
{txt}{col 5}{ralign 12:Comp6} {c |}{res}      .915083     .0422633             0.0832       0.6701
{txt}{col 5}{ralign 12:Comp7} {c |}{res}       .87282     .0641982             0.0793       0.7495
{txt}{col 5}{ralign 12:Comp8} {c |}{res}      .808622     .0639519             0.0735       0.8230
{txt}{col 5}{ralign 12:Comp9} {c |}{res}       .74467     .0808653             0.0677       0.8907
{txt}{col 5}{ralign 12:Comp10} {c |}{res}      .663805      .125004             0.0603       0.9510
{txt}{col 5}{ralign 12:Comp11} {c |}{res}      .538801            .             0.0490       1.0000
{txt}{col 5}{hline 13}{c BT}{hline 60}

Principal components (eigenvectors) 

{space 4}{hline 13}{c  TT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp1}{space 1}{space 1}{ralign 8:Comp2}{space 1}{space 1}{ralign 8:Comp3}{space 1}{space 1}{ralign 8:Comp4}{space 1}{space 1}{ralign 8:Comp5}{space 1}{space 1}{ralign 8:Comp6}{space 1}{space 1}{ralign 8:Comp7}{space 1}{space 1}{ralign 8:Comp8}{space 1}{space 1}{ralign 8:Comp9}{space 1}{space 1}{ralign 8:Comp10}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1372}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5747}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1156}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4062}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2767}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0755}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2748}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5561}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0557}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0034}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1214}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4269}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2572}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5737}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2178}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4888}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2128}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0153}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2387}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1359}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3344}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1362}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3452}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0190}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1995}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4426}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0262}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2456}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6219}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2055}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2187}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1718}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4656}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3863}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3804}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3769}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2521}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3218}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2927}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1241}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3983}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2275}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0801}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1212}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0669}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1079}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1999}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0634}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5855}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6039}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3424}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3233}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1273}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0319}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2157}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0056}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3011}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.6249}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2594}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2995}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.4688}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1344}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0632}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0867}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1245}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0116}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1264}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2527}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1300}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4042}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1238}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0964}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5958}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2784}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6988}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1176}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1493}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0393}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0655}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1123}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1867}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4464}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2402}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2017}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2237}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4119}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6472}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1138}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1016}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0292}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2121}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1067}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3777}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4507}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2941}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4692}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4727}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2067}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1512}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0453}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.4647}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2124}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0509}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1081}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0080}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0431}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0616}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1054}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0539}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5391}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}

{space 4}{hline 13}{c  TT}{hline 10}{c  TT}{hline 13}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp11}{space 1}{c |}{space 1}{ralign 11:Unexplained}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{c   +}{hline 13}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0493}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0168}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1562}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0407}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0298}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.2764}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.6892}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0031}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0692}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0003}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.6436}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{c  BT}{hline 13}
{txt}({bf:score} assumed)
(10 components skipped)

Scoring coefficients 
{col 5}sum of squares(column-loading) = 1

{space 4}{hline 13}{c  TT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp1}{space 1}{space 1}{ralign 8:Comp2}{space 1}{space 1}{ralign 8:Comp3}{space 1}{space 1}{ralign 8:Comp4}{space 1}{space 1}{ralign 8:Comp5}{space 1}{space 1}{ralign 8:Comp6}{space 1}{space 1}{ralign 8:Comp7}{space 1}{space 1}{ralign 8:Comp8}{space 1}{space 1}{ralign 8:Comp9}{space 1}{space 1}{ralign 8:Comp10}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1372}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5747}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1156}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4062}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2767}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0755}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2748}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5561}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0557}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0034}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1214}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4269}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2572}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5737}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2178}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4888}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2128}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0153}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2387}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1359}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3344}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1362}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3452}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0190}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1995}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4426}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0262}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2456}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6219}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2055}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2187}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1718}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4656}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3863}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3804}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3769}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2521}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3218}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2927}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1241}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3983}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2275}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0801}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1212}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0669}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1079}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1999}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0634}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5855}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6039}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3424}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3233}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1273}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0319}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2157}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0056}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3011}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.6249}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2594}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2995}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.4688}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1344}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0632}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0867}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1245}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0116}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1264}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2527}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1300}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4042}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1238}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0964}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5958}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2784}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6988}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1176}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1493}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0393}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0655}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1123}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1867}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4464}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2402}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2017}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2237}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4119}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6472}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1138}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1016}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0292}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2121}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1067}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3777}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4507}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2941}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4692}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4727}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2067}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1512}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0453}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.4647}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2124}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0509}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1081}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0080}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0431}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0616}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1054}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0539}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5391}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}

{space 4}{hline 13}{c  TT}{hline 10}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp11}{space 1}
{space 4}{hline 13}{c   +}{hline 10}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0493}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0168}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1562}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0407}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0298}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.2764}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.6892}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0031}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0692}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0003}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.6436}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}
 
Warning: f1162014 has 687 values < 0. Used in calculations
 
Distributional summary statistics, 5 quantile groups

{hline 10}{c TT}{hline 64}
Quantile  {c |}
group     {c |}    Quantile  % of median     Share, %      L(p), %        GL(p)
{hline 10}{c +}{hline 64}
        1 {c |}      {res}-1.150     -640.193    6.623e+09    6.623e+09       -0.485
        {txt}2 {c |}      {res}-0.105      -58.662    1.805e+09    8.429e+09       -0.617
        {txt}3 {c |}       {res}0.793      441.742   -8.472e+08    7.581e+09       -0.555
        {txt}4 {c |}       {res}1.493      831.223   -4.799e+09    2.783e+09       -0.204
        {txt}5 {c |}            {res}                -2.783e+09      100.000       -0.000
{txt}{hline 10}{c BT}{hline 64}
Share = quantile group share of total f1162014; 
L(p)=cumulative group share; GL(p)=L(p)*mean(f1162014)
(1,471 real changes made)
(1,471 real changes made)
Now calculating 16_2016

Principal components/correlation{col 50}Number of obs    = {res}     1,538
{col 50}{txt}Number of comp.  = {res}        11
{col 50}{txt}Trace            {col 67}=  {res}       11
{col 5}{txt}Rotation: (unrotated = principal){col 50}Rho              = {res}    1.0000

{txt}{col 5}{hline 13}{c TT}{hline 60}
{col 5}   Component {c |}   Eigenvalue   Difference         Proportion   Cumulative
{col 5}{hline 13}{c +}{hline 60}
{col 5}{ralign 12:Comp1} {c |}{res}      2.62266      1.49273             0.2384       0.2384
{txt}{col 5}{ralign 12:Comp2} {c |}{res}      1.12993     .0916957             0.1027       0.3411
{txt}{col 5}{ralign 12:Comp3} {c |}{res}      1.03823      .112254             0.0944       0.4355
{txt}{col 5}{ralign 12:Comp4} {c |}{res}      .925981     .0162173             0.0842       0.5197
{txt}{col 5}{ralign 12:Comp5} {c |}{res}      .909764     .0800226             0.0827       0.6024
{txt}{col 5}{ralign 12:Comp6} {c |}{res}      .829741     .0272573             0.0754       0.6778
{txt}{col 5}{ralign 12:Comp7} {c |}{res}      .802484     .0446934             0.0730       0.7508
{txt}{col 5}{ralign 12:Comp8} {c |}{res}      .757791     .0476945             0.0689       0.8197
{txt}{col 5}{ralign 12:Comp9} {c |}{res}      .710096     .0491812             0.0646       0.8842
{txt}{col 5}{ralign 12:Comp10} {c |}{res}      .660915     .0485104             0.0601       0.9443
{txt}{col 5}{ralign 12:Comp11} {c |}{res}      .612404            .             0.0557       1.0000
{txt}{col 5}{hline 13}{c BT}{hline 60}

Principal components (eigenvectors) 

{space 4}{hline 13}{c  TT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp1}{space 1}{space 1}{ralign 8:Comp2}{space 1}{space 1}{ralign 8:Comp3}{space 1}{space 1}{ralign 8:Comp4}{space 1}{space 1}{ralign 8:Comp5}{space 1}{space 1}{ralign 8:Comp6}{space 1}{space 1}{ralign 8:Comp7}{space 1}{space 1}{ralign 8:Comp8}{space 1}{space 1}{ralign 8:Comp9}{space 1}{space 1}{ralign 8:Comp10}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2273}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2155}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5087}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4570}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2048}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3751}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4271}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1412}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1753}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0941}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2807}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3596}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3841}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1197}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1496}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5336}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2021}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1363}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3360}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3174}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3344}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0098}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2161}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2616}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4864}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2218}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0516}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3977}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4143}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0605}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2560}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1709}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2912}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1586}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.7649}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2022}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0050}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2023}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2509}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1922}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3060}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3310}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1315}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0920}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0005}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1821}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6539}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5431}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1167}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0114}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3892}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1098}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2621}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0271}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0023}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0324}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2653}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2361}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1590}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.6910}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3806}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1407}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1123}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1079}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0909}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1182}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3075}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1728}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.6027}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5332}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0596}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6905}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1758}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4576}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1456}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3840}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1687}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2743}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0438}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0110}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2613}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1229}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4126}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5971}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1223}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2410}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2882}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2837}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3739}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0386}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2570}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3583}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3849}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1989}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2638}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4689}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2611}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4102}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2667}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0330}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.4055}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1822}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1197}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2387}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0053}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1045}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0439}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2407}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0823}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2920}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}

{space 4}{hline 13}{c  TT}{hline 10}{c  TT}{hline 13}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp11}{space 1}{c |}{space 1}{ralign 11:Unexplained}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{c   +}{hline 13}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0990}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.2232}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3888}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1687}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0407}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3703}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1297}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0708}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.1098}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1405}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.7538}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{c  BT}{hline 13}
{txt}({bf:score} assumed)
(10 components skipped)

Scoring coefficients 
{col 5}sum of squares(column-loading) = 1

{space 4}{hline 13}{c  TT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp1}{space 1}{space 1}{ralign 8:Comp2}{space 1}{space 1}{ralign 8:Comp3}{space 1}{space 1}{ralign 8:Comp4}{space 1}{space 1}{ralign 8:Comp5}{space 1}{space 1}{ralign 8:Comp6}{space 1}{space 1}{ralign 8:Comp7}{space 1}{space 1}{ralign 8:Comp8}{space 1}{space 1}{ralign 8:Comp9}{space 1}{space 1}{ralign 8:Comp10}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2273}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2155}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5087}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4570}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2048}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3751}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4271}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1412}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1753}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0941}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2807}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3596}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3841}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1197}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1496}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5336}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2021}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1363}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3360}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3174}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3344}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0098}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2161}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2616}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4864}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2218}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0516}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3977}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4143}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0605}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2560}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1709}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2912}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1586}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.7649}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2022}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0050}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2023}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2509}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1922}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3060}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3310}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1315}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0920}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0005}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1821}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6539}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5431}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1167}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0114}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3892}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1098}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2621}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0271}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0023}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0324}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2653}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2361}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1590}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.6910}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3806}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1407}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1123}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1079}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0909}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1182}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3075}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1728}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.6027}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5332}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0596}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6905}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1758}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4576}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1456}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3840}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1687}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2743}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0438}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0110}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2613}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1229}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4126}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5971}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1223}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2410}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2882}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2837}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3739}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0386}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2570}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3583}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3849}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1989}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2638}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4689}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2611}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4102}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2667}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0330}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.4055}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1822}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1197}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2387}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0053}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1045}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0439}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2407}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0823}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2920}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}

{space 4}{hline 13}{c  TT}{hline 10}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp11}{space 1}
{space 4}{hline 13}{c   +}{hline 10}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0990}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.2232}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3888}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1687}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0407}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3703}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1297}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0708}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.1098}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1405}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.7538}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}
 
Warning: f1162016 has 692 values < 0. Used in calculations
 
Distributional summary statistics, 5 quantile groups

{hline 10}{c TT}{hline 64}
Quantile  {c |}
group     {c |}    Quantile  % of median     Share, %      L(p), %        GL(p)
{hline 10}{c +}{hline 64}
        1 {c |}      {res}-1.337    -1228.366   -4.946e+10   -4.946e+10       -0.513
        {txt}2 {c |}      {res}-0.152     -139.358   -1.260e+10   -6.206e+10       -0.644
        {txt}3 {c |}       {res}0.738      678.014    4.871e+09   -5.719e+10       -0.593
        {txt}4 {c |}       {res}1.556     1428.887    2.705e+10   -3.014e+10       -0.313
        {txt}5 {c |}            {res}                 3.014e+10      100.000        0.000
{txt}{hline 10}{c BT}{hline 64}
Share = quantile group share of total f1162016; 
L(p)=cumulative group share; GL(p)=L(p)*mean(f1162016)
(1,538 real changes made)
(1,538 real changes made)
Now calculating 21_2006

Principal components/correlation{col 50}Number of obs    = {res}     1,516
{col 50}{txt}Number of comp.  = {res}        11
{col 50}{txt}Trace            {col 67}=  {res}       11
{col 5}{txt}Rotation: (unrotated = principal){col 50}Rho              = {res}    1.0000

{txt}{col 5}{hline 13}{c TT}{hline 60}
{col 5}   Component {c |}   Eigenvalue   Difference         Proportion   Cumulative
{col 5}{hline 13}{c +}{hline 60}
{col 5}{ralign 12:Comp1} {c |}{res}       3.3669      1.96091             0.3061       0.3061
{txt}{col 5}{ralign 12:Comp2} {c |}{res}      1.40599      .278538             0.1278       0.4339
{txt}{col 5}{ralign 12:Comp3} {c |}{res}      1.12745       .23015             0.1025       0.5364
{txt}{col 5}{ralign 12:Comp4} {c |}{res}      .897303       .14839             0.0816       0.6180
{txt}{col 5}{ralign 12:Comp5} {c |}{res}      .748914     .0893569             0.0681       0.6861
{txt}{col 5}{ralign 12:Comp6} {c |}{res}      .659557     .0205216             0.0600       0.7460
{txt}{col 5}{ralign 12:Comp7} {c |}{res}      .639035     .0295592             0.0581       0.8041
{txt}{col 5}{ralign 12:Comp8} {c |}{res}      .609476     .0403459             0.0554       0.8595
{txt}{col 5}{ralign 12:Comp9} {c |}{res}       .56913      .036999             0.0517       0.9113
{txt}{col 5}{ralign 12:Comp10} {c |}{res}      .532131      .088024             0.0484       0.9596
{txt}{col 5}{ralign 12:Comp11} {c |}{res}      .444107            .             0.0404       1.0000
{txt}{col 5}{hline 13}{c BT}{hline 60}

Principal components (eigenvectors) 

{space 4}{hline 13}{c  TT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp1}{space 1}{space 1}{ralign 8:Comp2}{space 1}{space 1}{ralign 8:Comp3}{space 1}{space 1}{ralign 8:Comp4}{space 1}{space 1}{ralign 8:Comp5}{space 1}{space 1}{ralign 8:Comp6}{space 1}{space 1}{ralign 8:Comp7}{space 1}{space 1}{ralign 8:Comp8}{space 1}{space 1}{ralign 8:Comp9}{space 1}{space 1}{ralign 8:Comp10}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2884}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3711}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1177}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4068}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0864}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2784}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5252}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0440}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2317}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4281}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3449}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3352}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0870}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2604}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0186}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0591}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0708}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0383}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2416}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.7891}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3471}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2260}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1632}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1774}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3704}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3954}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0225}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1095}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5583}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2515}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2573}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2818}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3767}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1869}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.6881}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3057}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0935}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0571}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1731}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1756}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3015}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2661}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3303}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0516}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0789}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.7104}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3143}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2381}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2207}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1040}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3273}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2994}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0648}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2013}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0496}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1875}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.7355}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1649}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3460}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1541}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2950}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3672}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2836}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0949}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0019}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0218}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1915}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.7967}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0493}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0593}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0184}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4498}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4933}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4340}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5896}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0360}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0355}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0744}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0974}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0201}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3301}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0513}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3796}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5040}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0081}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1884}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0328}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0973}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2926}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1123}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3580}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0434}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3409}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4530}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0574}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0103}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0795}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0709}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1468}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1217}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2977}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3425}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3357}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0218}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1478}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3034}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1576}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4927}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5086}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1845}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}

{space 4}{hline 13}{c  TT}{hline 10}{c  TT}{hline 13}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp11}{space 1}{c |}{space 1}{ralign 11:Unexplained}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{c   +}{hline 13}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0027}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0441}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2988}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1944}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0251}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0965}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.1045}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0063}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.5882}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.7053}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0821}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{c  BT}{hline 13}
{txt}({bf:score} assumed)
(10 components skipped)

Scoring coefficients 
{col 5}sum of squares(column-loading) = 1

{space 4}{hline 13}{c  TT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp1}{space 1}{space 1}{ralign 8:Comp2}{space 1}{space 1}{ralign 8:Comp3}{space 1}{space 1}{ralign 8:Comp4}{space 1}{space 1}{ralign 8:Comp5}{space 1}{space 1}{ralign 8:Comp6}{space 1}{space 1}{ralign 8:Comp7}{space 1}{space 1}{ralign 8:Comp8}{space 1}{space 1}{ralign 8:Comp9}{space 1}{space 1}{ralign 8:Comp10}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2884}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3711}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1177}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4068}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0864}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2784}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5252}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0440}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2317}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4281}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3449}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3352}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0870}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2604}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0186}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0591}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0708}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0383}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2416}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.7891}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3471}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2260}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1632}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1774}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3704}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3954}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0225}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1095}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5583}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2515}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2573}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2818}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3767}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1869}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.6881}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3057}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0935}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0571}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1731}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1756}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3015}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2661}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3303}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0516}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0789}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.7104}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3143}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2381}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2207}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1040}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3273}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2994}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0648}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2013}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0496}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1875}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.7355}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1649}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3460}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1541}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2950}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3672}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2836}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0949}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0019}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0218}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1915}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.7967}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0493}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0593}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0184}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4498}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4933}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4340}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5896}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0360}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0355}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0744}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0974}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0201}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3301}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0513}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3796}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5040}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0081}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1884}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0328}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0973}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2926}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1123}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3580}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0434}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3409}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4530}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0574}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0103}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0795}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0709}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1468}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1217}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2977}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3425}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3357}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0218}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1478}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3034}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1576}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4927}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5086}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1845}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}

{space 4}{hline 13}{c  TT}{hline 10}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp11}{space 1}
{space 4}{hline 13}{c   +}{hline 10}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0027}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0441}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2988}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1944}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0251}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0965}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.1045}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0063}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.5882}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.7053}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0821}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}
 
Warning: f1212006 has 758 values < 0. Used in calculations
 
Distributional summary statistics, 5 quantile groups

{hline 10}{c TT}{hline 64}
Quantile  {c |}
group     {c |}    Quantile  % of median     Share, %      L(p), %        GL(p)
{hline 10}{c +}{hline 64}
        1 {c |}      {res}-1.577    12063.092    4.899e+09    4.899e+09       -0.531
        {txt}2 {c |}      {res}-0.270     2062.141    1.811e+09    6.710e+09       -0.727
        {txt}3 {c |}       {res}0.599    -4583.337   -3.068e+08    6.403e+09       -0.694
        {txt}4 {c |}       {res}1.375   -10516.059   -1.739e+09    4.664e+09       -0.505
        {txt}5 {c |}            {res}                -4.664e+09      100.000       -0.000
{txt}{hline 10}{c BT}{hline 64}
Share = quantile group share of total f1212006; 
L(p)=cumulative group share; GL(p)=L(p)*mean(f1212006)
(1,516 real changes made)
(1,516 real changes made)
Now calculating 21_2008

Principal components/correlation{col 50}Number of obs    = {res}     1,503
{col 50}{txt}Number of comp.  = {res}        11
{col 50}{txt}Trace            {col 67}=  {res}       11
{col 5}{txt}Rotation: (unrotated = principal){col 50}Rho              = {res}    1.0000

{txt}{col 5}{hline 13}{c TT}{hline 60}
{col 5}   Component {c |}   Eigenvalue   Difference         Proportion   Cumulative
{col 5}{hline 13}{c +}{hline 60}
{col 5}{ralign 12:Comp1} {c |}{res}      3.65283      2.24618             0.3321       0.3321
{txt}{col 5}{ralign 12:Comp2} {c |}{res}      1.40665       .41446             0.1279       0.4600
{txt}{col 5}{ralign 12:Comp3} {c |}{res}      .992191      .108388             0.0902       0.5502
{txt}{col 5}{ralign 12:Comp4} {c |}{res}      .883803      .121921             0.0803       0.6305
{txt}{col 5}{ralign 12:Comp5} {c |}{res}      .761882       .11579             0.0693       0.6998
{txt}{col 5}{ralign 12:Comp6} {c |}{res}      .646092     .0227918             0.0587       0.7585
{txt}{col 5}{ralign 12:Comp7} {c |}{res}        .6233     .0623587             0.0567       0.8152
{txt}{col 5}{ralign 12:Comp8} {c |}{res}      .560942     .0367424             0.0510       0.8662
{txt}{col 5}{ralign 12:Comp9} {c |}{res}      .524199     .0140572             0.0477       0.9138
{txt}{col 5}{ralign 12:Comp10} {c |}{res}      .510142     .0721699             0.0464       0.9602
{txt}{col 5}{ralign 12:Comp11} {c |}{res}      .437972            .             0.0398       1.0000
{txt}{col 5}{hline 13}{c BT}{hline 60}

Principal components (eigenvectors) 

{space 4}{hline 13}{c  TT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp1}{space 1}{space 1}{ralign 8:Comp2}{space 1}{space 1}{ralign 8:Comp3}{space 1}{space 1}{ralign 8:Comp4}{space 1}{space 1}{ralign 8:Comp5}{space 1}{space 1}{ralign 8:Comp6}{space 1}{space 1}{ralign 8:Comp7}{space 1}{space 1}{ralign 8:Comp8}{space 1}{space 1}{ralign 8:Comp9}{space 1}{space 1}{ralign 8:Comp10}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2554}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4173}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1916}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2767}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1993}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6569}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3396}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0157}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2155}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1185}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3339}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2904}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3064}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0381}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1530}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2145}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1968}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1792}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0293}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.7533}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3393}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2945}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1556}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0402}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3137}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0293}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1873}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1989}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.7598}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0931}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2122}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3818}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3421}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4064}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.6136}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1533}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0646}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1509}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2853}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0029}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3062}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2712}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2553}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1807}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0028}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4218}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.7380}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0649}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0361}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0100}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3262}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2970}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2090}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0473}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2343}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4681}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3082}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0047}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1570}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.6036}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3206}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3116}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2434}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1521}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1653}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2551}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2906}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5302}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4742}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1829}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0541}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4230}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6382}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4878}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3707}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0412}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0002}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0795}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1382}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0487}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3366}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0672}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1228}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5641}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3333}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1606}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0134}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0070}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1381}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0371}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3728}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0441}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1574}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3501}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3575}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0134}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1259}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0518}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0083}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0577}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3240}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2544}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3361}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1356}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0578}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0913}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2579}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.7816}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0705}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0694}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}

{space 4}{hline 13}{c  TT}{hline 10}{c  TT}{hline 13}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp11}{space 1}{c |}{space 1}{ralign 11:Unexplained}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{c   +}{hline 13}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0050}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0156}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1116}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1360}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0815}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0391}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0384}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0770}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.6256}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.7495}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0069}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{c  BT}{hline 13}
{txt}({bf:score} assumed)
(10 components skipped)

Scoring coefficients 
{col 5}sum of squares(column-loading) = 1

{space 4}{hline 13}{c  TT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp1}{space 1}{space 1}{ralign 8:Comp2}{space 1}{space 1}{ralign 8:Comp3}{space 1}{space 1}{ralign 8:Comp4}{space 1}{space 1}{ralign 8:Comp5}{space 1}{space 1}{ralign 8:Comp6}{space 1}{space 1}{ralign 8:Comp7}{space 1}{space 1}{ralign 8:Comp8}{space 1}{space 1}{ralign 8:Comp9}{space 1}{space 1}{ralign 8:Comp10}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2554}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4173}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1916}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2767}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1993}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6569}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3396}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0157}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2155}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1185}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3339}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2904}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3064}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0381}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1530}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2145}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1968}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1792}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0293}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.7533}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3393}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2945}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1556}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0402}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3137}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0293}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1873}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1989}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.7598}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0931}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2122}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3818}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3421}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4064}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.6136}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1533}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0646}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1509}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2853}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0029}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3062}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2712}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2553}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1807}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0028}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4218}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.7380}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0649}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0361}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0100}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3262}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2970}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2090}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0473}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2343}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4681}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3082}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0047}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1570}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.6036}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3206}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3116}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2434}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1521}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1653}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2551}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2906}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5302}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4742}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1829}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0541}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4230}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6382}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4878}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3707}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0412}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0002}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0795}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1382}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0487}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3366}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0672}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1228}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5641}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3333}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1606}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0134}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0070}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1381}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0371}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3728}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0441}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1574}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3501}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3575}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0134}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1259}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0518}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0083}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0577}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3240}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2544}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3361}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1356}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0578}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0913}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2579}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.7816}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0705}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0694}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}

{space 4}{hline 13}{c  TT}{hline 10}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp11}{space 1}
{space 4}{hline 13}{c   +}{hline 10}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0050}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0156}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1116}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1360}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0815}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0391}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0384}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0770}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.6256}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.7495}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0069}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}
 
Warning: f1212008 has 797 values < 0. Used in calculations
 
Distributional summary statistics, 5 quantile groups

{hline 10}{c TT}{hline 64}
Quantile  {c |}
group     {c |}    Quantile  % of median     Share, %      L(p), %        GL(p)
{hline 10}{c +}{hline 64}
        1 {c |}      {res}-1.668     1304.452    6.152e+10    6.152e+10       -0.549
        {txt}2 {c |}      {res}-0.675      527.885    2.279e+10    8.431e+10       -0.753
        {txt}3 {c |}       {res}0.512     -400.402   -5.215e+08    8.379e+10       -0.748
        {txt}4 {c |}       {res}1.630    -1274.748   -2.169e+10    6.210e+10       -0.554
        {txt}5 {c |}            {res}                -6.210e+10      100.000       -0.000
{txt}{hline 10}{c BT}{hline 64}
Share = quantile group share of total f1212008; 
L(p)=cumulative group share; GL(p)=L(p)*mean(f1212008)
(1,503 real changes made)
(1,503 real changes made)
Now calculating 21_2010

Principal components/correlation{col 50}Number of obs    = {res}     1,500
{col 50}{txt}Number of comp.  = {res}        11
{col 50}{txt}Trace            {col 67}=  {res}       11
{col 5}{txt}Rotation: (unrotated = principal){col 50}Rho              = {res}    1.0000

{txt}{col 5}{hline 13}{c TT}{hline 60}
{col 5}   Component {c |}   Eigenvalue   Difference         Proportion   Cumulative
{col 5}{hline 13}{c +}{hline 60}
{col 5}{ralign 12:Comp1} {c |}{res}      3.36875      1.96766             0.3062       0.3062
{txt}{col 5}{ralign 12:Comp2} {c |}{res}      1.40109      .331658             0.1274       0.4336
{txt}{col 5}{ralign 12:Comp3} {c |}{res}      1.06943      .186192             0.0972       0.5308
{txt}{col 5}{ralign 12:Comp4} {c |}{res}      .883239     .0933485             0.0803       0.6111
{txt}{col 5}{ralign 12:Comp5} {c |}{res}       .78989      .119448             0.0718       0.6829
{txt}{col 5}{ralign 12:Comp6} {c |}{res}      .670442     .0407391             0.0609       0.7439
{txt}{col 5}{ralign 12:Comp7} {c |}{res}      .629703     .0215362             0.0572       0.8011
{txt}{col 5}{ralign 12:Comp8} {c |}{res}      .608167     .0476136             0.0553       0.8564
{txt}{col 5}{ralign 12:Comp9} {c |}{res}      .560553     .0291743             0.0510       0.9074
{txt}{col 5}{ralign 12:Comp10} {c |}{res}      .531379     .0440184             0.0483       0.9557
{txt}{col 5}{ralign 12:Comp11} {c |}{res}      .487361            .             0.0443       1.0000
{txt}{col 5}{hline 13}{c BT}{hline 60}

Principal components (eigenvectors) 

{space 4}{hline 13}{c  TT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp1}{space 1}{space 1}{ralign 8:Comp2}{space 1}{space 1}{ralign 8:Comp3}{space 1}{space 1}{ralign 8:Comp4}{space 1}{space 1}{ralign 8:Comp5}{space 1}{space 1}{ralign 8:Comp6}{space 1}{space 1}{ralign 8:Comp7}{space 1}{space 1}{ralign 8:Comp8}{space 1}{space 1}{ralign 8:Comp9}{space 1}{space 1}{ralign 8:Comp10}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2775}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4082}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1925}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2142}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2280}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4587}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4352}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1928}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4238}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0102}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3369}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3285}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2310}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0707}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2304}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0320}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0058}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1315}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.6612}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2850}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3486}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3503}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1120}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0158}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1503}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1120}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0180}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1703}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2070}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.7857}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1746}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3672}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4485}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3416}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.6668}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0574}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0047}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0106}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1312}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2112}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3044}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2618}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3167}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1866}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1493}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5154}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5637}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2692}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1266}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0920}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3196}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3024}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1137}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2259}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2037}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4586}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5786}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0538}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3112}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1387}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3041}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3073}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2880}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1126}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1173}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5411}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3309}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5082}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0808}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1856}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0479}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3812}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5522}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6408}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3242}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0149}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0082}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0112}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0152}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1762}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3332}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0443}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2670}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4701}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3989}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0590}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0298}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1250}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3878}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0695}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3769}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0156}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2248}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3193}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2929}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0100}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1360}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0754}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2300}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0632}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3389}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2570}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2701}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0116}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0137}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0117}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1697}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.7492}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0122}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3934}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}

{space 4}{hline 13}{c  TT}{hline 10}{c  TT}{hline 13}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp11}{space 1}{c |}{space 1}{ralign 11:Unexplained}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{c   +}{hline 13}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0687}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3610}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1355}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0839}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0314}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.1921}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0471}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0112}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.5103}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.7337}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0257}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{c  BT}{hline 13}
{txt}({bf:score} assumed)
(10 components skipped)

Scoring coefficients 
{col 5}sum of squares(column-loading) = 1

{space 4}{hline 13}{c  TT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp1}{space 1}{space 1}{ralign 8:Comp2}{space 1}{space 1}{ralign 8:Comp3}{space 1}{space 1}{ralign 8:Comp4}{space 1}{space 1}{ralign 8:Comp5}{space 1}{space 1}{ralign 8:Comp6}{space 1}{space 1}{ralign 8:Comp7}{space 1}{space 1}{ralign 8:Comp8}{space 1}{space 1}{ralign 8:Comp9}{space 1}{space 1}{ralign 8:Comp10}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2775}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4082}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1925}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2142}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2280}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4587}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4352}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1928}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4238}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0102}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3369}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3285}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2310}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0707}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2304}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0320}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0058}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1315}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.6612}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2850}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3486}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3503}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1120}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0158}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1503}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1120}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0180}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1703}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2070}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.7857}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1746}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3672}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4485}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3416}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.6668}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0574}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0047}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0106}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1312}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2112}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3044}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2618}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3167}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1866}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1493}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5154}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5637}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2692}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1266}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0920}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3196}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3024}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1137}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2259}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2037}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4586}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5786}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0538}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3112}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1387}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3041}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3073}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2880}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1126}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1173}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5411}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3309}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5082}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0808}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1856}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0479}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3812}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5522}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6408}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3242}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0149}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0082}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0112}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0152}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1762}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3332}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0443}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2670}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4701}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3989}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0590}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0298}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1250}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3878}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0695}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3769}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0156}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2248}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3193}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2929}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0100}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1360}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0754}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2300}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0632}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3389}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2570}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2701}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0116}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0137}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0117}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1697}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.7492}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0122}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3934}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}

{space 4}{hline 13}{c  TT}{hline 10}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp11}{space 1}
{space 4}{hline 13}{c   +}{hline 10}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0687}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3610}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1355}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0839}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0314}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.1921}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0471}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0112}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.5103}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.7337}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0257}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}
 
Warning: f1212010 has 752 values < 0. Used in calculations
 
Distributional summary statistics, 5 quantile groups

{hline 10}{c TT}{hline 64}
Quantile  {c |}
group     {c |}    Quantile  % of median     Share, %      L(p), %        GL(p)
{hline 10}{c +}{hline 64}
        1 {c |}      {res}-1.628     2335.124    2.192e+10    2.192e+10       -0.525
        {txt}2 {c |}      {res}-0.405      581.008    7.889e+09    2.981e+10       -0.714
        {txt}3 {c |}       {res}0.378     -541.636   -3.888e+08    2.942e+10       -0.705
        {txt}4 {c |}       {res}1.479    -2121.400   -7.563e+09    2.186e+10       -0.524
        {txt}5 {c |}            {res}                -2.186e+10      100.000       -0.000
{txt}{hline 10}{c BT}{hline 64}
Share = quantile group share of total f1212010; 
L(p)=cumulative group share; GL(p)=L(p)*mean(f1212010)
(1,500 real changes made)
(1,500 real changes made)
Now calculating 21_2012

Principal components/correlation{col 50}Number of obs    = {res}     1,512
{col 50}{txt}Number of comp.  = {res}        11
{col 50}{txt}Trace            {col 67}=  {res}       11
{col 5}{txt}Rotation: (unrotated = principal){col 50}Rho              = {res}    1.0000

{txt}{col 5}{hline 13}{c TT}{hline 60}
{col 5}   Component {c |}   Eigenvalue   Difference         Proportion   Cumulative
{col 5}{hline 13}{c +}{hline 60}
{col 5}{ralign 12:Comp1} {c |}{res}      3.17312      1.84727             0.2885       0.2885
{txt}{col 5}{ralign 12:Comp2} {c |}{res}      1.32585      .219674             0.1205       0.4090
{txt}{col 5}{ralign 12:Comp3} {c |}{res}      1.10617      .186796             0.1006       0.5096
{txt}{col 5}{ralign 12:Comp4} {c |}{res}      .919376     .0420806             0.0836       0.5931
{txt}{col 5}{ralign 12:Comp5} {c |}{res}      .877296      .189979             0.0798       0.6729
{txt}{col 5}{ralign 12:Comp6} {c |}{res}      .687316      .058004             0.0625       0.7354
{txt}{col 5}{ralign 12:Comp7} {c |}{res}      .629312     .0147786             0.0572       0.7926
{txt}{col 5}{ralign 12:Comp8} {c |}{res}      .614534      .022123             0.0559       0.8485
{txt}{col 5}{ralign 12:Comp9} {c |}{res}      .592411     .0448878             0.0539       0.9023
{txt}{col 5}{ralign 12:Comp10} {c |}{res}      .547523     .0204318             0.0498       0.9521
{txt}{col 5}{ralign 12:Comp11} {c |}{res}      .527091            .             0.0479       1.0000
{txt}{col 5}{hline 13}{c BT}{hline 60}

Principal components (eigenvectors) 

{space 4}{hline 13}{c  TT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp1}{space 1}{space 1}{ralign 8:Comp2}{space 1}{space 1}{ralign 8:Comp3}{space 1}{space 1}{ralign 8:Comp4}{space 1}{space 1}{ralign 8:Comp5}{space 1}{space 1}{ralign 8:Comp6}{space 1}{space 1}{ralign 8:Comp7}{space 1}{space 1}{ralign 8:Comp8}{space 1}{space 1}{ralign 8:Comp9}{space 1}{space 1}{ralign 8:Comp10}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2401}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5093}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1365}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0021}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1976}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.7123}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2099}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1707}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0620}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0688}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3254}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3160}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2383}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1293}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2355}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3578}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2520}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0359}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6420}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0352}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3536}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2468}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2325}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2148}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0094}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0910}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5001}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3665}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0947}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4871}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1514}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2401}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5636}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.6669}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0055}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1149}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1985}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0367}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0929}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2191}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3096}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3697}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1933}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0646}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2180}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2995}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.6649}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3369}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0803}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1210}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3271}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3607}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0063}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1022}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2869}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3045}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1077}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1696}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.7236}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0942}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3333}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3139}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1751}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1269}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1855}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2288}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1468}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.7717}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1233}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1508}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0179}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2803}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6043}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6517}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2881}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0135}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0720}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0885}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0652}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1753}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3311}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0088}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1225}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0674}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6795}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1908}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0605}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1260}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0753}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3613}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3734}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0671}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1552}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1668}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4312}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1783}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1820}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0206}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0133}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3063}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3539}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2715}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2837}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0678}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1019}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2000}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2928}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2682}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1052}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.6383}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}

{space 4}{hline 13}{c  TT}{hline 10}{c  TT}{hline 13}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp11}{space 1}{c |}{space 1}{ralign 11:Unexplained}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{c   +}{hline 13}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.1901}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2431}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2736}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2155}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1095}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0671}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0425}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0041}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.4656}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.6774}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.2990}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{c  BT}{hline 13}
{txt}({bf:score} assumed)
(10 components skipped)

Scoring coefficients 
{col 5}sum of squares(column-loading) = 1

{space 4}{hline 13}{c  TT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp1}{space 1}{space 1}{ralign 8:Comp2}{space 1}{space 1}{ralign 8:Comp3}{space 1}{space 1}{ralign 8:Comp4}{space 1}{space 1}{ralign 8:Comp5}{space 1}{space 1}{ralign 8:Comp6}{space 1}{space 1}{ralign 8:Comp7}{space 1}{space 1}{ralign 8:Comp8}{space 1}{space 1}{ralign 8:Comp9}{space 1}{space 1}{ralign 8:Comp10}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2401}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5093}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1365}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0021}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1976}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.7123}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2099}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1707}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0620}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0688}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3254}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3160}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2383}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1293}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2355}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3578}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2520}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0359}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6420}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0352}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3536}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2468}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2325}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2148}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0094}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0910}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5001}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3665}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0947}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4871}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1514}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2401}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5636}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.6669}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0055}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1149}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1985}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0367}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0929}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2191}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3096}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3697}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1933}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0646}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2180}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2995}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.6649}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3369}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0803}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1210}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3271}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3607}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0063}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1022}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2869}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3045}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1077}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1696}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.7236}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0942}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3333}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3139}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1751}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1269}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1855}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2288}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1468}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.7717}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1233}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1508}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0179}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2803}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6043}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6517}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2881}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0135}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0720}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0885}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0652}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1753}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3311}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0088}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1225}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0674}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6795}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1908}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0605}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1260}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0753}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3613}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3734}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0671}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1552}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1668}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4312}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1783}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1820}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0206}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0133}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3063}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3539}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2715}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2837}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0678}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1019}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2000}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2928}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2682}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1052}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.6383}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}

{space 4}{hline 13}{c  TT}{hline 10}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp11}{space 1}
{space 4}{hline 13}{c   +}{hline 10}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.1901}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2431}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2736}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2155}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1095}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0671}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0425}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0041}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.4656}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.6774}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.2990}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}
 
Warning: f1212012 has 663 values < 0. Used in calculations
 
Distributional summary statistics, 5 quantile groups

{hline 10}{c TT}{hline 64}
Quantile  {c |}
group     {c |}    Quantile  % of median     Share, %      L(p), %        GL(p)
{hline 10}{c +}{hline 64}
        1 {c |}      {res}-1.455    -1449.022   -1.733e+10   -1.733e+10       -0.526
        {txt}2 {c |}      {res}-0.604     -601.077   -5.887e+09   -2.321e+10       -0.705
        {txt}3 {c |}       {res}0.647      644.519    8.981e+08   -2.232e+10       -0.678
        {txt}4 {c |}       {res}1.588     1580.921    6.230e+09   -1.609e+10       -0.489
        {txt}5 {c |}            {res}                 1.609e+10      100.000        0.000
{txt}{hline 10}{c BT}{hline 64}
Share = quantile group share of total f1212012; 
L(p)=cumulative group share; GL(p)=L(p)*mean(f1212012)
(1,512 real changes made)
(1,512 real changes made)
Now calculating 21_2014

Principal components/correlation{col 50}Number of obs    = {res}     1,513
{col 50}{txt}Number of comp.  = {res}        11
{col 50}{txt}Trace            {col 67}=  {res}       11
{col 5}{txt}Rotation: (unrotated = principal){col 50}Rho              = {res}    1.0000

{txt}{col 5}{hline 13}{c TT}{hline 60}
{col 5}   Component {c |}   Eigenvalue   Difference         Proportion   Cumulative
{col 5}{hline 13}{c +}{hline 60}
{col 5}{ralign 12:Comp1} {c |}{res}      3.16281       1.8123             0.2875       0.2875
{txt}{col 5}{ralign 12:Comp2} {c |}{res}      1.35051      .257996             0.1228       0.4103
{txt}{col 5}{ralign 12:Comp3} {c |}{res}      1.09251      .224849             0.0993       0.5096
{txt}{col 5}{ralign 12:Comp4} {c |}{res}      .867665      .031203             0.0789       0.5885
{txt}{col 5}{ralign 12:Comp5} {c |}{res}      .836462     .0632948             0.0760       0.6645
{txt}{col 5}{ralign 12:Comp6} {c |}{res}      .773167       .10199             0.0703       0.7348
{txt}{col 5}{ralign 12:Comp7} {c |}{res}      .671176     .0654605             0.0610       0.7958
{txt}{col 5}{ralign 12:Comp8} {c |}{res}      .605716     .0285323             0.0551       0.8509
{txt}{col 5}{ralign 12:Comp9} {c |}{res}      .577183     .0252958             0.0525       0.9034
{txt}{col 5}{ralign 12:Comp10} {c |}{res}      .551888     .0409735             0.0502       0.9536
{txt}{col 5}{ralign 12:Comp11} {c |}{res}      .510914            .             0.0464       1.0000
{txt}{col 5}{hline 13}{c BT}{hline 60}

Principal components (eigenvectors) 

{space 4}{hline 13}{c  TT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp1}{space 1}{space 1}{ralign 8:Comp2}{space 1}{space 1}{ralign 8:Comp3}{space 1}{space 1}{ralign 8:Comp4}{space 1}{space 1}{ralign 8:Comp5}{space 1}{space 1}{ralign 8:Comp6}{space 1}{space 1}{ralign 8:Comp7}{space 1}{space 1}{ralign 8:Comp8}{space 1}{space 1}{ralign 8:Comp9}{space 1}{space 1}{ralign 8:Comp10}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2067}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4244}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3056}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0117}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1830}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.7690}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0833}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1227}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0825}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1731}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3208}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3284}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2279}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1757}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1781}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3520}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2355}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3824}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4268}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4058}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3667}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3113}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0931}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0681}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1228}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1954}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2631}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2549}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0733}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5379}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1292}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3285}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5490}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.6348}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3154}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0139}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0585}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0956}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0509}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1667}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3390}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3183}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1987}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1202}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2292}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3007}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0511}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4364}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2660}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4166}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3113}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3417}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1158}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0681}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3747}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3752}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1978}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4728}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4663}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0629}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3431}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2437}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1904}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0510}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2254}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0613}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6648}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4158}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0367}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0745}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0527}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4332}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5300}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6450}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1729}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0427}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0027}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0386}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1698}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0319}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3452}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0406}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1133}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2977}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5778}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0157}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1189}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1596}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4257}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4188}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3628}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0942}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1597}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1615}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4610}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0509}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1107}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3860}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5092}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3573}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3464}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1777}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3691}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0952}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0143}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0823}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5956}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0417}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2104}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0338}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}

{space 4}{hline 13}{c  TT}{hline 10}{c  TT}{hline 13}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp11}{space 1}{c |}{space 1}{ralign 11:Unexplained}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{c   +}{hline 13}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0078}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0483}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.5227}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1687}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3867}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0549}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.3282}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2224}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2178}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.2110}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.5424}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{c  BT}{hline 13}
{txt}({bf:score} assumed)
(10 components skipped)

Scoring coefficients 
{col 5}sum of squares(column-loading) = 1

{space 4}{hline 13}{c  TT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp1}{space 1}{space 1}{ralign 8:Comp2}{space 1}{space 1}{ralign 8:Comp3}{space 1}{space 1}{ralign 8:Comp4}{space 1}{space 1}{ralign 8:Comp5}{space 1}{space 1}{ralign 8:Comp6}{space 1}{space 1}{ralign 8:Comp7}{space 1}{space 1}{ralign 8:Comp8}{space 1}{space 1}{ralign 8:Comp9}{space 1}{space 1}{ralign 8:Comp10}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2067}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4244}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3056}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0117}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1830}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.7690}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0833}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1227}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0825}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1731}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3208}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3284}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2279}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1757}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1781}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3520}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2355}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3824}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4268}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4058}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3667}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3113}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0931}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0681}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1228}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1954}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2631}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2549}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0733}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5379}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1292}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3285}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5490}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.6348}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3154}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0139}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0585}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0956}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0509}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1667}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3390}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3183}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1987}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1202}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2292}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3007}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0511}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4364}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2660}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4166}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3113}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3417}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1158}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0681}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3747}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3752}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1978}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4728}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4663}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0629}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3431}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2437}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1904}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0510}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2254}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0613}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6648}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4158}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0367}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0745}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0527}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4332}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5300}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6450}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1729}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0427}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0027}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0386}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1698}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0319}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3452}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0406}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1133}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2977}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5778}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0157}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1189}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1596}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4257}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4188}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3628}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0942}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1597}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1615}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4610}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0509}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1107}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3860}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5092}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3573}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3464}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1777}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3691}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0952}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0143}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0823}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5956}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0417}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2104}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0338}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}

{space 4}{hline 13}{c  TT}{hline 10}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp11}{space 1}
{space 4}{hline 13}{c   +}{hline 10}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0078}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0483}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.5227}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1687}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3867}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0549}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.3282}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2224}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2178}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.2110}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.5424}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}
 
Warning: f1212014 has 756 values < 0. Used in calculations
 
Distributional summary statistics, 5 quantile groups

{hline 10}{c TT}{hline 64}
Quantile  {c |}
group     {c |}    Quantile  % of median     Share, %      L(p), %        GL(p)
{hline 10}{c +}{hline 64}
        1 {c |}      {res}-1.564   -13789.731   -5.865e+09   -5.865e+09       -0.505
        {txt}2 {c |}      {res}-0.430    -3787.156   -2.171e+09   -8.036e+09       -0.692
        {txt}3 {c |}       {res}0.528     4657.420    7.089e+06   -8.029e+09       -0.691
        {txt}4 {c |}       {res}1.572    13857.960    2.296e+09   -5.733e+09       -0.493
        {txt}5 {c |}            {res}                 5.733e+09      100.000        0.000
{txt}{hline 10}{c BT}{hline 64}
Share = quantile group share of total f1212014; 
L(p)=cumulative group share; GL(p)=L(p)*mean(f1212014)
(1,513 real changes made)
(1,513 real changes made)
Now calculating 21_2016

Principal components/correlation{col 50}Number of obs    = {res}     1,501
{col 50}{txt}Number of comp.  = {res}        11
{col 50}{txt}Trace            {col 67}=  {res}       11
{col 5}{txt}Rotation: (unrotated = principal){col 50}Rho              = {res}    1.0000

{txt}{col 5}{hline 13}{c TT}{hline 60}
{col 5}   Component {c |}   Eigenvalue   Difference         Proportion   Cumulative
{col 5}{hline 13}{c +}{hline 60}
{col 5}{ralign 12:Comp1} {c |}{res}      2.77356      1.55028             0.2521       0.2521
{txt}{col 5}{ralign 12:Comp2} {c |}{res}      1.22327     .0927712             0.1112       0.3633
{txt}{col 5}{ralign 12:Comp3} {c |}{res}       1.1305      .158001             0.1028       0.4661
{txt}{col 5}{ralign 12:Comp4} {c |}{res}      .972501      .111822             0.0884       0.5545
{txt}{col 5}{ralign 12:Comp5} {c |}{res}      .860679     .0756584             0.0782       0.6328
{txt}{col 5}{ralign 12:Comp6} {c |}{res}      .785021     .0452195             0.0714       0.7041
{txt}{col 5}{ralign 12:Comp7} {c |}{res}      .739801     .0434737             0.0673       0.7714
{txt}{col 5}{ralign 12:Comp8} {c |}{res}      .696327     .0428919             0.0633       0.8347
{txt}{col 5}{ralign 12:Comp9} {c |}{res}      .653436     .0654152             0.0594       0.8941
{txt}{col 5}{ralign 12:Comp10} {c |}{res}       .58802     .0111366             0.0535       0.9476
{txt}{col 5}{ralign 12:Comp11} {c |}{res}      .576884            .             0.0524       1.0000
{txt}{col 5}{hline 13}{c BT}{hline 60}

Principal components (eigenvectors) 

{space 4}{hline 13}{c  TT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp1}{space 1}{space 1}{ralign 8:Comp2}{space 1}{space 1}{ralign 8:Comp3}{space 1}{space 1}{ralign 8:Comp4}{space 1}{space 1}{ralign 8:Comp5}{space 1}{space 1}{ralign 8:Comp6}{space 1}{space 1}{ralign 8:Comp7}{space 1}{space 1}{ralign 8:Comp8}{space 1}{space 1}{ralign 8:Comp9}{space 1}{space 1}{ralign 8:Comp10}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2179}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3683}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3221}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4618}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0733}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6171}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0528}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1630}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2516}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0248}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3281}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0633}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3475}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1485}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0319}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.6185}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2698}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1172}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4428}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0530}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3192}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3330}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1065}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3852}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1098}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0493}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5783}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1112}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0365}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4849}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1880}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4569}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1090}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5077}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5697}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0816}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1336}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1137}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2077}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2541}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3121}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0057}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4744}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0167}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0678}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1706}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3411}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.6600}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2815}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0855}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3460}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2942}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2036}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1786}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2712}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1213}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0682}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2980}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.6476}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3317}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3454}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1842}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3093}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0467}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0030}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1291}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4909}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5148}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3687}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2072}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0419}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6042}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3553}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0593}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5557}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2893}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1680}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0732}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1238}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2234}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3116}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1099}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1939}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4577}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4912}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2654}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2975}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0379}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0054}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2356}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3535}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1500}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3616}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3332}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1404}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0545}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1608}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1884}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1303}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4029}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3839}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1435}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3090}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0054}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0952}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0997}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2601}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3206}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1711}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5185}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}

{space 4}{hline 13}{c  TT}{hline 10}{c  TT}{hline 13}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp11}{space 1}{c |}{space 1}{ralign 11:Unexplained}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{c   +}{hline 13}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.1424}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2767}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1726}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1285}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0719}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0963}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2177}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.1102}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.4319}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.5894}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.4989}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{c  BT}{hline 13}
{txt}({bf:score} assumed)
(10 components skipped)

Scoring coefficients 
{col 5}sum of squares(column-loading) = 1

{space 4}{hline 13}{c  TT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp1}{space 1}{space 1}{ralign 8:Comp2}{space 1}{space 1}{ralign 8:Comp3}{space 1}{space 1}{ralign 8:Comp4}{space 1}{space 1}{ralign 8:Comp5}{space 1}{space 1}{ralign 8:Comp6}{space 1}{space 1}{ralign 8:Comp7}{space 1}{space 1}{ralign 8:Comp8}{space 1}{space 1}{ralign 8:Comp9}{space 1}{space 1}{ralign 8:Comp10}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2179}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3683}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3221}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4618}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0733}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6171}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0528}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1630}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2516}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0248}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3281}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0633}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3475}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1485}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0319}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.6185}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2698}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1172}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4428}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0530}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3192}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3330}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1065}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3852}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1098}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0493}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5783}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1112}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0365}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4849}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1880}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4569}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1090}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5077}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5697}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0816}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1336}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1137}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2077}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2541}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3121}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0057}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4744}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0167}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0678}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1706}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3411}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.6600}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2815}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0855}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3460}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2942}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2036}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1786}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2712}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1213}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0682}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2980}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.6476}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3317}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3454}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1842}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3093}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0467}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0030}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1291}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4909}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5148}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3687}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2072}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0419}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6042}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3553}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0593}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5557}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2893}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1680}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0732}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1238}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2234}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3116}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1099}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1939}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4577}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4912}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2654}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2975}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0379}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0054}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2356}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3535}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1500}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3616}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3332}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1404}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0545}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1608}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1884}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1303}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4029}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3839}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1435}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3090}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0054}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0952}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0997}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2601}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3206}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1711}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5185}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}

{space 4}{hline 13}{c  TT}{hline 10}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp11}{space 1}
{space 4}{hline 13}{c   +}{hline 10}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.1424}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2767}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1726}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1285}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0719}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0963}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2177}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.1102}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.4319}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.5894}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.4989}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}
 
Warning: f1212016 has 663 values < 0. Used in calculations
 
Distributional summary statistics, 5 quantile groups

{hline 10}{c TT}{hline 64}
Quantile  {c |}
group     {c |}    Quantile  % of median     Share, %      L(p), %        GL(p)
{hline 10}{c +}{hline 64}
        1 {c |}      {res}-1.466   -82319.046    6.443e+09    6.443e+09       -0.483
        {txt}2 {c |}      {res}-0.278   -15596.443    2.191e+09    8.634e+09       -0.648
        {txt}3 {c |}       {res}0.486    27309.951   -1.690e+08    8.465e+09       -0.635
        {txt}4 {c |}       {res}1.526    85683.381   -2.661e+09    5.804e+09       -0.435
        {txt}5 {c |}            {res}                -5.804e+09      100.000       -0.000
{txt}{hline 10}{c BT}{hline 64}
Share = quantile group share of total f1212016; 
L(p)=cumulative group share; GL(p)=L(p)*mean(f1212016)
(1,501 real changes made)
(1,501 real changes made)

{com}. 
. **Separate calculation for Argentina which is missing in 2006 data
. #delimit ;
{txt}delimiter now ;
{com}. local yearlist "
> 2008
> 2010
> 2012
> 2014
> 2016
> " ;
{txt}
{com}. local countrylist "
> 17
> " ;
{txt}
{com}. #delimit cr
{txt}delimiter now cr
{com}. 
. 
. foreach country of local countrylist {c -(}
{txt}  2{com}. 
. foreach year of local yearlist {c -(}
{txt}  3{com}. 
. display "Now calculating `country'_`year'"
{txt}  4{com}. pca   r1 r3 r4 r4a r5 r6 r7 r8 r12 r14 r15 if pais==`country' & year==`year'
{txt}  5{com}. predict  f1`country'`year' if pais==`country' & year==`year'
{txt}  6{com}. sumdist f1`country'`year',  n(5) qgp(quint`country'`year')
{txt}  7{com}. replace quintiles=quint`country'`year' if pais==`country' & year==`year'
{txt}  8{com}. replace wealthscoresquin=f1`country'`year' if pais==`country' & year==`year'
{txt}  9{com}. 
. {c )-}
{txt} 10{com}. {c )-}
Now calculating 17_2008

{txt}Principal components/correlation{col 50}Number of obs    = {res}     1,486
{col 50}{txt}Number of comp.  = {res}        11
{col 50}{txt}Trace            {col 67}=  {res}       11
{col 5}{txt}Rotation: (unrotated = principal){col 50}Rho              = {res}    1.0000

{txt}{col 5}{hline 13}{c TT}{hline 60}
{col 5}   Component {c |}   Eigenvalue   Difference         Proportion   Cumulative
{col 5}{hline 13}{c +}{hline 60}
{col 5}{ralign 12:Comp1} {c |}{res}      2.96876      1.63888             0.2699       0.2699
{txt}{col 5}{ralign 12:Comp2} {c |}{res}      1.32988      .264338             0.1209       0.3908
{txt}{col 5}{ralign 12:Comp3} {c |}{res}      1.06554     .0724398             0.0969       0.4877
{txt}{col 5}{ralign 12:Comp4} {c |}{res}      .993104     .0996777             0.0903       0.5779
{txt}{col 5}{ralign 12:Comp5} {c |}{res}      .893426     .0757135             0.0812       0.6592
{txt}{col 5}{ralign 12:Comp6} {c |}{res}      .817712     .0946924             0.0743       0.7335
{txt}{col 5}{ralign 12:Comp7} {c |}{res}       .72302      .103687             0.0657       0.7992
{txt}{col 5}{ralign 12:Comp8} {c |}{res}      .619332     .0730248             0.0563       0.8555
{txt}{col 5}{ralign 12:Comp9} {c |}{res}      .546308    .00576142             0.0497       0.9052
{txt}{col 5}{ralign 12:Comp10} {c |}{res}      .540546     .0381824             0.0491       0.9543
{txt}{col 5}{ralign 12:Comp11} {c |}{res}      .502364            .             0.0457       1.0000
{txt}{col 5}{hline 13}{c BT}{hline 60}

Principal components (eigenvectors) 

{space 4}{hline 13}{c  TT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp1}{space 1}{space 1}{ralign 8:Comp2}{space 1}{space 1}{ralign 8:Comp3}{space 1}{space 1}{ralign 8:Comp4}{space 1}{space 1}{ralign 8:Comp5}{space 1}{space 1}{ralign 8:Comp6}{space 1}{space 1}{ralign 8:Comp7}{space 1}{space 1}{ralign 8:Comp8}{space 1}{space 1}{ralign 8:Comp9}{space 1}{space 1}{ralign 8:Comp10}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2181}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0580}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6008}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3241}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0988}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5781}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0795}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2999}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0615}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1927}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1914}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3042}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3986}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1761}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5601}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5130}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2985}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0483}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0909}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0265}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3716}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0284}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2026}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0420}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3310}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4486}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0870}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2692}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0661}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6436}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2848}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1100}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3706}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0619}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.6336}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3085}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0395}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3713}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0588}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3495}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3555}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3220}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1375}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0927}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0236}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2294}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1045}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.7343}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1009}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2554}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3527}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0027}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0379}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0648}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1910}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0899}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.8779}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0374}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0906}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1138}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3977}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2533}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1336}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0742}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1227}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0883}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1383}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3762}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2987}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4743}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0109}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1133}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4162}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.8786}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1311}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1058}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0082}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0117}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0326}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0127}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2187}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5903}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1990}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1875}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2627}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1168}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1198}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1185}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5969}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0380}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2813}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5505}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1406}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1814}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1118}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0561}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0552}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0252}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.6344}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0670}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.4007}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2431}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1757}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0091}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1211}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0986}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2779}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0196}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3357}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3412}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}

{space 4}{hline 13}{c  TT}{hline 10}{c  TT}{hline 13}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp11}{space 1}{c |}{space 1}{ralign 11:Unexplained}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{c   +}{hline 13}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0436}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0597}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0936}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0630}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.2523}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1792}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.5065}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1098}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2455}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.3727}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.6467}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{c  BT}{hline 13}
{txt}({bf:score} assumed)
(10 components skipped)

Scoring coefficients 
{col 5}sum of squares(column-loading) = 1

{space 4}{hline 13}{c  TT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp1}{space 1}{space 1}{ralign 8:Comp2}{space 1}{space 1}{ralign 8:Comp3}{space 1}{space 1}{ralign 8:Comp4}{space 1}{space 1}{ralign 8:Comp5}{space 1}{space 1}{ralign 8:Comp6}{space 1}{space 1}{ralign 8:Comp7}{space 1}{space 1}{ralign 8:Comp8}{space 1}{space 1}{ralign 8:Comp9}{space 1}{space 1}{ralign 8:Comp10}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2181}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0580}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6008}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3241}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0988}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5781}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0795}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2999}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0615}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1927}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1914}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3042}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3986}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1761}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5601}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5130}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2985}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0483}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0909}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0265}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3716}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0284}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2026}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0420}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3310}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4486}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0870}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2692}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0661}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6436}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2848}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1100}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3706}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0619}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.6336}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3085}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0395}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3713}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0588}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3495}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3555}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3220}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1375}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0927}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0236}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2294}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1045}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.7343}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1009}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2554}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3527}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0027}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0379}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0648}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1910}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0899}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.8779}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0374}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0906}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1138}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3977}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2533}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1336}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0742}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1227}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0883}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1383}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3762}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2987}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4743}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0109}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1133}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4162}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.8786}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1311}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1058}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0082}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0117}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0326}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0127}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2187}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5903}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1990}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1875}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2627}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1168}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1198}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1185}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5969}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0380}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2813}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5505}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1406}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1814}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1118}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0561}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0552}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0252}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.6344}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0670}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.4007}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2431}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1757}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0091}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1211}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0986}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2779}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0196}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3357}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3412}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}

{space 4}{hline 13}{c  TT}{hline 10}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp11}{space 1}
{space 4}{hline 13}{c   +}{hline 10}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0436}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0597}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0936}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0630}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.2523}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1792}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.5065}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1098}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2455}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.3727}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.6467}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}
 
Warning: f1172008 has 699 values < 0. Used in calculations
 
Distributional summary statistics, 5 quantile groups

{hline 10}{c TT}{hline 64}
Quantile  {c |}
group     {c |}    Quantile  % of median     Share, %      L(p), %        GL(p)
{hline 10}{c +}{hline 64}
        1 {c |}      {res}-1.126     -401.471    3.188e+10    3.188e+10       -0.529
        {txt}2 {c |}      {res}-0.282     -100.538    9.655e+09    4.153e+10       -0.689
        {txt}3 {c |}       {res}0.600      213.927   -2.873e+09    3.866e+10       -0.642
        {txt}4 {c |}       {res}1.872      667.757   -2.841e+10    1.025e+10       -0.170
        {txt}5 {c |}            {res}                -1.025e+10      100.000       -0.000
{txt}{hline 10}{c BT}{hline 64}
Share = quantile group share of total f1172008; 
L(p)=cumulative group share; GL(p)=L(p)*mean(f1172008)
(1,486 real changes made)
(1,486 real changes made)
Now calculating 17_2010

Principal components/correlation{col 50}Number of obs    = {res}     1,410
{col 50}{txt}Number of comp.  = {res}        11
{col 50}{txt}Trace            {col 67}=  {res}       11
{col 5}{txt}Rotation: (unrotated = principal){col 50}Rho              = {res}    1.0000

{txt}{col 5}{hline 13}{c TT}{hline 60}
{col 5}   Component {c |}   Eigenvalue   Difference         Proportion   Cumulative
{col 5}{hline 13}{c +}{hline 60}
{col 5}{ralign 12:Comp1} {c |}{res}      2.83127      1.41624             0.2574       0.2574
{txt}{col 5}{ralign 12:Comp2} {c |}{res}      1.41503      .204197             0.1286       0.3860
{txt}{col 5}{ralign 12:Comp3} {c |}{res}      1.21083      .211939             0.1101       0.4961
{txt}{col 5}{ralign 12:Comp4} {c |}{res}      .998894      .147174             0.0908       0.5869
{txt}{col 5}{ralign 12:Comp5} {c |}{res}       .85172      .133319             0.0774       0.6643
{txt}{col 5}{ralign 12:Comp6} {c |}{res}        .7184     .0281147             0.0653       0.7296
{txt}{col 5}{ralign 12:Comp7} {c |}{res}      .690285      .013644             0.0628       0.7924
{txt}{col 5}{ralign 12:Comp8} {c |}{res}      .676641     .0826266             0.0615       0.8539
{txt}{col 5}{ralign 12:Comp9} {c |}{res}      .594015     .0767694             0.0540       0.9079
{txt}{col 5}{ralign 12:Comp10} {c |}{res}      .517245     .0215812             0.0470       0.9549
{txt}{col 5}{ralign 12:Comp11} {c |}{res}      .495664            .             0.0451       1.0000
{txt}{col 5}{hline 13}{c BT}{hline 60}

Principal components (eigenvectors) 

{space 4}{hline 13}{c  TT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp1}{space 1}{space 1}{ralign 8:Comp2}{space 1}{space 1}{ralign 8:Comp3}{space 1}{space 1}{ralign 8:Comp4}{space 1}{space 1}{ralign 8:Comp5}{space 1}{space 1}{ralign 8:Comp6}{space 1}{space 1}{ralign 8:Comp7}{space 1}{space 1}{ralign 8:Comp8}{space 1}{space 1}{ralign 8:Comp9}{space 1}{space 1}{ralign 8:Comp10}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2269}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2393}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4631}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3627}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1386}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.6242}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2009}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1168}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2842}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0347}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1933}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3073}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5188}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1539}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2679}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5535}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1379}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3857}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1123}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0762}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2937}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2634}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4136}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1614}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3997}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0067}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3126}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0950}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5137}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0678}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2789}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1910}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3936}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0248}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.6181}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0673}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3397}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0198}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4233}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1925}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3280}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3216}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0705}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1682}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0350}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3701}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3532}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6827}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0225}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1565}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3888}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0125}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0049}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0105}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1430}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0227}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.6858}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5345}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0473}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0805}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.4078}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3343}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0256}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0210}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0335}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0993}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0963}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2098}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0171}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0568}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0603}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2376}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2510}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.8682}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1777}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1602}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0072}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0972}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0688}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1489}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2537}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4775}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2876}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0659}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4081}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1706}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0370}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1452}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2516}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5655}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3086}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4424}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1515}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1473}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3710}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1856}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0294}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0143}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3055}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6282}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3984}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2166}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1270}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0974}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0930}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2506}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3477}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0415}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5469}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4249}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}

{space 4}{hline 13}{c  TT}{hline 10}{c  TT}{hline 13}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp11}{space 1}{c |}{space 1}{ralign 11:Unexplained}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{c   +}{hline 13}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0215}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.1046}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3348}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1078}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0407}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2508}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.8081}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1720}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.1393}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0568}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3083}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{c  BT}{hline 13}
{txt}({bf:score} assumed)
(10 components skipped)

Scoring coefficients 
{col 5}sum of squares(column-loading) = 1

{space 4}{hline 13}{c  TT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp1}{space 1}{space 1}{ralign 8:Comp2}{space 1}{space 1}{ralign 8:Comp3}{space 1}{space 1}{ralign 8:Comp4}{space 1}{space 1}{ralign 8:Comp5}{space 1}{space 1}{ralign 8:Comp6}{space 1}{space 1}{ralign 8:Comp7}{space 1}{space 1}{ralign 8:Comp8}{space 1}{space 1}{ralign 8:Comp9}{space 1}{space 1}{ralign 8:Comp10}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2269}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2393}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4631}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3627}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1386}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.6242}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2009}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1168}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2842}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0347}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1933}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3073}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5188}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1539}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2679}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5535}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1379}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3857}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1123}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0762}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2937}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2634}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4136}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1614}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3997}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0067}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3126}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0950}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5137}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0678}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2789}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1910}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3936}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0248}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.6181}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0673}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3397}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0198}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4233}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1925}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3280}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3216}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0705}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1682}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0350}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3701}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3532}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6827}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0225}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1565}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3888}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0125}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0049}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0105}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1430}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0227}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.6858}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5345}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0473}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0805}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.4078}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3343}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0256}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0210}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0335}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0993}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0963}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2098}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0171}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0568}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0603}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2376}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2510}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.8682}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1777}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1602}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0072}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0972}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0688}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1489}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2537}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4775}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2876}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0659}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4081}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1706}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0370}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1452}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2516}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5655}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3086}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4424}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1515}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1473}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3710}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1856}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0294}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0143}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3055}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6282}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3984}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2166}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1270}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0974}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0930}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2506}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3477}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0415}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5469}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4249}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}

{space 4}{hline 13}{c  TT}{hline 10}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp11}{space 1}
{space 4}{hline 13}{c   +}{hline 10}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0215}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.1046}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3348}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1078}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0407}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2508}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.8081}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1720}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.1393}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0568}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3083}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}
 
Warning: f1172010 has 685 values < 0. Used in calculations
 
Distributional summary statistics, 5 quantile groups

{hline 10}{c TT}{hline 64}
Quantile  {c |}
group     {c |}    Quantile  % of median     Share, %      L(p), %        GL(p)
{hline 10}{c +}{hline 64}
        1 {c |}      {res}-1.296    -1106.675   -4.295e+09   -4.295e+09       -0.506
        {txt}2 {c |}      {res}-0.232     -197.711   -1.428e+09   -5.723e+09       -0.674
        {txt}3 {c |}       {res}0.593      505.919    4.485e+08   -5.274e+09       -0.621
        {txt}4 {c |}       {res}1.534     1310.078    2.108e+09   -3.166e+09       -0.373
        {txt}5 {c |}            {res}                 3.166e+09      100.000        0.000
{txt}{hline 10}{c BT}{hline 64}
Share = quantile group share of total f1172010; 
L(p)=cumulative group share; GL(p)=L(p)*mean(f1172010)
(1,410 real changes made)
(1,410 real changes made)
Now calculating 17_2012

Principal components/correlation{col 50}Number of obs    = {res}     1,512
{col 50}{txt}Number of comp.  = {res}        11
{col 50}{txt}Trace            {col 67}=  {res}       11
{col 5}{txt}Rotation: (unrotated = principal){col 50}Rho              = {res}    1.0000

{txt}{col 5}{hline 13}{c TT}{hline 60}
{col 5}   Component {c |}   Eigenvalue   Difference         Proportion   Cumulative
{col 5}{hline 13}{c +}{hline 60}
{col 5}{ralign 12:Comp1} {c |}{res}      2.77666      1.34891             0.2524       0.2524
{txt}{col 5}{ralign 12:Comp2} {c |}{res}      1.42775      .314331             0.1298       0.3822
{txt}{col 5}{ralign 12:Comp3} {c |}{res}      1.11342      .171607             0.1012       0.4834
{txt}{col 5}{ralign 12:Comp4} {c |}{res}      .941812     .0993767             0.0856       0.5691
{txt}{col 5}{ralign 12:Comp5} {c |}{res}      .842435     .0844754             0.0766       0.6456
{txt}{col 5}{ralign 12:Comp6} {c |}{res}       .75796     .0339625             0.0689       0.7145
{txt}{col 5}{ralign 12:Comp7} {c |}{res}      .723997     .0683534             0.0658       0.7804
{txt}{col 5}{ralign 12:Comp8} {c |}{res}      .655644     .0444419             0.0596       0.8400
{txt}{col 5}{ralign 12:Comp9} {c |}{res}      .611202     .0147242             0.0556       0.8955
{txt}{col 5}{ralign 12:Comp10} {c |}{res}      .596478     .0438327             0.0542       0.9498
{txt}{col 5}{ralign 12:Comp11} {c |}{res}      .552645            .             0.0502       1.0000
{txt}{col 5}{hline 13}{c BT}{hline 60}

Principal components (eigenvectors) 

{space 4}{hline 13}{c  TT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp1}{space 1}{space 1}{ralign 8:Comp2}{space 1}{space 1}{ralign 8:Comp3}{space 1}{space 1}{ralign 8:Comp4}{space 1}{space 1}{ralign 8:Comp5}{space 1}{space 1}{ralign 8:Comp6}{space 1}{space 1}{ralign 8:Comp7}{space 1}{space 1}{ralign 8:Comp8}{space 1}{space 1}{ralign 8:Comp9}{space 1}{space 1}{ralign 8:Comp10}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2454}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4399}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1944}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3650}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3828}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0676}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1580}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4111}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2801}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1813}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3282}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3931}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0775}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1479}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2263}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1022}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1488}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3890}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.6381}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0989}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3506}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1903}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3895}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0941}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3076}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1265}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2482}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2385}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2838}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2115}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2310}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1548}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5601}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3888}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4632}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1820}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0522}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1796}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0495}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0133}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3055}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3314}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0314}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1768}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1463}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3977}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.7179}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1353}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1641}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1047}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3461}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0450}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1226}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0893}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1356}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.8418}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3024}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0121}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0046}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1585}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3538}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3733}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0785}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1318}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0040}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0565}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1968}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0222}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1941}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.7893}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0321}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0053}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6504}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6746}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3186}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0504}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0472}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0381}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0616}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0237}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2615}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3452}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1797}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4016}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5125}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1336}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0020}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5032}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2596}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0879}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3425}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3320}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0495}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1068}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2709}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1879}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2451}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5113}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5379}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1834}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3616}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3334}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1043}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0226}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1257}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1011}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4251}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2358}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0792}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4598}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}

{space 4}{hline 13}{c  TT}{hline 10}{c  TT}{hline 13}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp11}{space 1}{c |}{space 1}{ralign 11:Unexplained}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{c   +}{hline 13}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.3449}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2405}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.5709}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.4154}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.1161}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.1069}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0939}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0935}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.1006}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0738}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.5164}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{c  BT}{hline 13}
{txt}({bf:score} assumed)
(10 components skipped)

Scoring coefficients 
{col 5}sum of squares(column-loading) = 1

{space 4}{hline 13}{c  TT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp1}{space 1}{space 1}{ralign 8:Comp2}{space 1}{space 1}{ralign 8:Comp3}{space 1}{space 1}{ralign 8:Comp4}{space 1}{space 1}{ralign 8:Comp5}{space 1}{space 1}{ralign 8:Comp6}{space 1}{space 1}{ralign 8:Comp7}{space 1}{space 1}{ralign 8:Comp8}{space 1}{space 1}{ralign 8:Comp9}{space 1}{space 1}{ralign 8:Comp10}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2454}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4399}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1944}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3650}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3828}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0676}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1580}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4111}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2801}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1813}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3282}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3931}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0775}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1479}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2263}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1022}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1488}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3890}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.6381}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0989}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3506}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1903}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3895}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0941}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3076}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1265}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2482}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2385}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2838}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2115}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2310}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1548}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5601}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3888}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4632}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1820}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0522}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1796}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0495}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0133}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3055}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3314}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0314}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1768}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1463}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3977}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.7179}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1353}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1641}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1047}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3461}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0450}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1226}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0893}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1356}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.8418}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3024}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0121}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0046}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1585}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3538}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3733}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0785}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1318}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0040}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0565}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1968}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0222}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1941}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.7893}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0321}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0053}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6504}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6746}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3186}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0504}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0472}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0381}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0616}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0237}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2615}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3452}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1797}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4016}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5125}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1336}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0020}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5032}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2596}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0879}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3425}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3320}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0495}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1068}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2709}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1879}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2451}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5113}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5379}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1834}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3616}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3334}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1043}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0226}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1257}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1011}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4251}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2358}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0792}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4598}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}

{space 4}{hline 13}{c  TT}{hline 10}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp11}{space 1}
{space 4}{hline 13}{c   +}{hline 10}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.3449}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2405}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.5709}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.4154}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.1161}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.1069}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0939}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0935}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.1006}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0738}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.5164}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}
 
Warning: f1172012 has 697 values < 0. Used in calculations
 
Distributional summary statistics, 5 quantile groups

{hline 10}{c TT}{hline 64}
Quantile  {c |}
group     {c |}    Quantile  % of median     Share, %      L(p), %        GL(p)
{hline 10}{c +}{hline 64}
        1 {c |}      {res}-0.908     -282.534    1.655e+10    1.655e+10       -0.537
        {txt}2 {c |}      {res}-0.181      -56.399    2.541e+09    1.909e+10       -0.619
        {txt}3 {c |}       {res}0.534      166.085   -1.832e+09    1.726e+10       -0.560
        {txt}4 {c |}       {res}1.325      412.335   -6.684e+09    1.057e+10       -0.343
        {txt}5 {c |}            {res}                -1.057e+10      100.000       -0.000
{txt}{hline 10}{c BT}{hline 64}
Share = quantile group share of total f1172012; 
L(p)=cumulative group share; GL(p)=L(p)*mean(f1172012)
(1,512 real changes made)
(1,512 real changes made)
Now calculating 17_2014

Principal components/correlation{col 50}Number of obs    = {res}     1,438
{col 50}{txt}Number of comp.  = {res}        11
{col 50}{txt}Trace            {col 67}=  {res}       11
{col 5}{txt}Rotation: (unrotated = principal){col 50}Rho              = {res}    1.0000

{txt}{col 5}{hline 13}{c TT}{hline 60}
{col 5}   Component {c |}   Eigenvalue   Difference         Proportion   Cumulative
{col 5}{hline 13}{c +}{hline 60}
{col 5}{ralign 12:Comp1} {c |}{res}      2.67109      1.33515             0.2428       0.2428
{txt}{col 5}{ralign 12:Comp2} {c |}{res}      1.33595      .142993             0.1214       0.3643
{txt}{col 5}{ralign 12:Comp3} {c |}{res}      1.19296      .209286             0.1085       0.4727
{txt}{col 5}{ralign 12:Comp4} {c |}{res}       .98367     .0959109             0.0894       0.5622
{txt}{col 5}{ralign 12:Comp5} {c |}{res}      .887759     .0734828             0.0807       0.6429
{txt}{col 5}{ralign 12:Comp6} {c |}{res}      .814276     .0651532             0.0740       0.7169
{txt}{col 5}{ralign 12:Comp7} {c |}{res}      .749123     .0797381             0.0681       0.7850
{txt}{col 5}{ralign 12:Comp8} {c |}{res}      .669385     .0399817             0.0609       0.8458
{txt}{col 5}{ralign 12:Comp9} {c |}{res}      .629403     .0673231             0.0572       0.9031
{txt}{col 5}{ralign 12:Comp10} {c |}{res}       .56208     .0577716             0.0511       0.9542
{txt}{col 5}{ralign 12:Comp11} {c |}{res}      .504308            .             0.0458       1.0000
{txt}{col 5}{hline 13}{c BT}{hline 60}

Principal components (eigenvectors) 

{space 4}{hline 13}{c  TT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp1}{space 1}{space 1}{ralign 8:Comp2}{space 1}{space 1}{ralign 8:Comp3}{space 1}{space 1}{ralign 8:Comp4}{space 1}{space 1}{ralign 8:Comp5}{space 1}{space 1}{ralign 8:Comp6}{space 1}{space 1}{ralign 8:Comp7}{space 1}{space 1}{ralign 8:Comp8}{space 1}{space 1}{ralign 8:Comp9}{space 1}{space 1}{ralign 8:Comp10}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1056}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1448}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3970}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.7850}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3003}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0335}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0054}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3001}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0153}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0772}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2202}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2127}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4393}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0890}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2964}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.7509}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1050}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1700}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0533}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0177}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3798}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0767}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3256}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1997}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2421}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1346}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2867}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2175}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4746}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1830}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1344}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3876}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3940}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3719}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.6267}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0935}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1126}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0701}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0900}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0544}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3119}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3198}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0819}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1334}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0222}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1530}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.8434}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1527}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0867}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0834}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3666}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1853}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1573}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0894}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0701}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3936}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1406}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.7630}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1760}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0749}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3685}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3159}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1305}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1537}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0836}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0371}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2082}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0313}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.8038}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1092}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0970}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2643}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5773}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0597}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5760}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4002}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0941}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1688}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0460}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1863}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3272}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4497}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0157}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2407}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1346}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1258}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2498}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3068}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0875}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6440}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3611}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3803}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0689}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2658}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0806}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2098}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0690}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2488}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1127}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.6782}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.4045}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3530}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0389}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1266}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0433}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0919}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2090}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1946}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2380}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1531}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}

{space 4}{hline 13}{c  TT}{hline 10}{c  TT}{hline 13}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp11}{space 1}{c |}{space 1}{ralign 11:Unexplained}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{c   +}{hline 13}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0804}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.1031}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.4890}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3287}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0549}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0137}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1144}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1334}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.1404}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2443}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.7227}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{c  BT}{hline 13}
{txt}({bf:score} assumed)
(10 components skipped)

Scoring coefficients 
{col 5}sum of squares(column-loading) = 1

{space 4}{hline 13}{c  TT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp1}{space 1}{space 1}{ralign 8:Comp2}{space 1}{space 1}{ralign 8:Comp3}{space 1}{space 1}{ralign 8:Comp4}{space 1}{space 1}{ralign 8:Comp5}{space 1}{space 1}{ralign 8:Comp6}{space 1}{space 1}{ralign 8:Comp7}{space 1}{space 1}{ralign 8:Comp8}{space 1}{space 1}{ralign 8:Comp9}{space 1}{space 1}{ralign 8:Comp10}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1056}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1448}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3970}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.7850}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3003}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0335}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0054}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3001}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0153}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0772}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2202}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2127}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4393}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0890}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2964}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.7509}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1050}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1700}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0533}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0177}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3798}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0767}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3256}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1997}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2421}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1346}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2867}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2175}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4746}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1830}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1344}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3876}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3940}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3719}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.6267}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0935}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1126}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0701}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0900}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0544}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3119}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3198}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0819}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1334}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0222}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1530}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.8434}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1527}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0867}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0834}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3666}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1853}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1573}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0894}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0701}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3936}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1406}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.7630}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1760}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0749}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3685}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3159}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1305}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1537}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0836}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0371}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2082}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0313}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.8038}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1092}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0970}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2643}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5773}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0597}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5760}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4002}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0941}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1688}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0460}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1863}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3272}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4497}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0157}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2407}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1346}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1258}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2498}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3068}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0875}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6440}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3611}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3803}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0689}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2658}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0806}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2098}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0690}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2488}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1127}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.6782}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.4045}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3530}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0389}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1266}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0433}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0919}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2090}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1946}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2380}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1531}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}

{space 4}{hline 13}{c  TT}{hline 10}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp11}{space 1}
{space 4}{hline 13}{c   +}{hline 10}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0804}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.1031}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.4890}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3287}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0549}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0137}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1144}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1334}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.1404}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2443}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.7227}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}
 
Warning: f1172014 has 586 values < 0. Used in calculations
 
Distributional summary statistics, 5 quantile groups

{hline 10}{c TT}{hline 64}
Quantile  {c |}
group     {c |}    Quantile  % of median     Share, %      L(p), %        GL(p)
{hline 10}{c +}{hline 64}
        1 {c |}      {res}-1.182     -316.581   -7.191e+09   -7.191e+09       -0.526
        {txt}2 {c |}      {res}-0.042      -11.360   -1.335e+09   -8.526e+09       -0.624
        {txt}3 {c |}       {res}0.729      195.378    1.020e+09   -7.507e+09       -0.549
        {txt}4 {c |}       {res}1.467      392.809    3.439e+09   -4.068e+09       -0.298
        {txt}5 {c |}            {res}                 4.068e+09      100.000        0.000
{txt}{hline 10}{c BT}{hline 64}
Share = quantile group share of total f1172014; 
L(p)=cumulative group share; GL(p)=L(p)*mean(f1172014)
(1,438 real changes made)
(1,438 real changes made)
Now calculating 17_2016

Principal components/correlation{col 50}Number of obs    = {res}     1,509
{col 50}{txt}Number of comp.  = {res}        11
{col 50}{txt}Trace            {col 67}=  {res}       11
{col 5}{txt}Rotation: (unrotated = principal){col 50}Rho              = {res}    1.0000

{txt}{col 5}{hline 13}{c TT}{hline 60}
{col 5}   Component {c |}   Eigenvalue   Difference         Proportion   Cumulative
{col 5}{hline 13}{c +}{hline 60}
{col 5}{ralign 12:Comp1} {c |}{res}      2.49324       1.2624             0.2267       0.2267
{txt}{col 5}{ralign 12:Comp2} {c |}{res}      1.23084      .138087             0.1119       0.3386
{txt}{col 5}{ralign 12:Comp3} {c |}{res}      1.09276     .0969043             0.0993       0.4379
{txt}{col 5}{ralign 12:Comp4} {c |}{res}      .995851     .0755754             0.0905       0.5284
{txt}{col 5}{ralign 12:Comp5} {c |}{res}      .920276     .0668217             0.0837       0.6121
{txt}{col 5}{ralign 12:Comp6} {c |}{res}      .853454     .0817039             0.0776       0.6897
{txt}{col 5}{ralign 12:Comp7} {c |}{res}       .77175     .0182229             0.0702       0.7598
{txt}{col 5}{ralign 12:Comp8} {c |}{res}      .753527     .0721526             0.0685       0.8283
{txt}{col 5}{ralign 12:Comp9} {c |}{res}      .681375     .0327142             0.0619       0.8903
{txt}{col 5}{ralign 12:Comp10} {c |}{res}      .648661     .0903972             0.0590       0.9492
{txt}{col 5}{ralign 12:Comp11} {c |}{res}      .558263            .             0.0508       1.0000
{txt}{col 5}{hline 13}{c BT}{hline 60}

Principal components (eigenvectors) 

{space 4}{hline 13}{c  TT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp1}{space 1}{space 1}{ralign 8:Comp2}{space 1}{space 1}{ralign 8:Comp3}{space 1}{space 1}{ralign 8:Comp4}{space 1}{space 1}{ralign 8:Comp5}{space 1}{space 1}{ralign 8:Comp6}{space 1}{space 1}{ralign 8:Comp7}{space 1}{space 1}{ralign 8:Comp8}{space 1}{space 1}{ralign 8:Comp9}{space 1}{space 1}{ralign 8:Comp10}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1755}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2847}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5683}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4253}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1926}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0823}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1523}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5263}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0943}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0587}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2491}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0246}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5684}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1309}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2237}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3170}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5959}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2962}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0334}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0461}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3746}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2934}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0782}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3269}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0543}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2063}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0889}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1540}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2244}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6322}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1964}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4981}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1286}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2726}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.6048}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1314}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0205}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2967}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0124}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2113}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3541}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0532}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2931}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0307}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3889}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0109}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3813}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2702}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.6364}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0984}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3450}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2102}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1420}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1866}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0185}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3991}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3549}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5699}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3493}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1877}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.4073}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0101}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2366}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1586}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0387}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2587}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0128}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1409}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3161}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.6913}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0271}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5806}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0055}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3545}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5321}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3401}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1568}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2289}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2026}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1240}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2264}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3772}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2597}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4856}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0478}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3092}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5337}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2044}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2767}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0460}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2715}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2288}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1254}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4451}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2747}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.6252}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1657}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0511}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4001}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0201}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.4384}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0730}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2933}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0180}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1735}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0664}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0698}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0956}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1870}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0973}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}

{space 4}{hline 13}{c  TT}{hline 10}{c  TT}{hline 13}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp11}{space 1}{c |}{space 1}{ralign 11:Unexplained}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{c   +}{hline 13}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.1670}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0222}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3655}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3258}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0197}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1191}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2943}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0652}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0068}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0565}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.7894}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{c  BT}{hline 13}
{txt}({bf:score} assumed)
(10 components skipped)

Scoring coefficients 
{col 5}sum of squares(column-loading) = 1

{space 4}{hline 13}{c  TT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp1}{space 1}{space 1}{ralign 8:Comp2}{space 1}{space 1}{ralign 8:Comp3}{space 1}{space 1}{ralign 8:Comp4}{space 1}{space 1}{ralign 8:Comp5}{space 1}{space 1}{ralign 8:Comp6}{space 1}{space 1}{ralign 8:Comp7}{space 1}{space 1}{ralign 8:Comp8}{space 1}{space 1}{ralign 8:Comp9}{space 1}{space 1}{ralign 8:Comp10}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1755}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2847}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5683}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4253}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1926}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0823}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1523}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5263}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0943}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0587}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2491}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0246}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5684}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1309}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2237}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3170}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5959}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2962}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0334}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0461}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3746}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2934}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0782}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3269}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0543}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2063}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0889}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1540}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2244}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6322}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1964}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4981}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1286}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2726}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.6048}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1314}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0205}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2967}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0124}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2113}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3541}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0532}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2931}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0307}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3889}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0109}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3813}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2702}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.6364}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0984}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3450}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2102}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1420}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1866}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0185}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3991}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3549}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5699}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3493}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1877}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.4073}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0101}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2366}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1586}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0387}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2587}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0128}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1409}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3161}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.6913}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0271}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5806}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0055}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3545}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5321}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3401}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1568}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2289}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2026}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1240}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2264}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3772}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2597}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4856}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0478}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3092}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5337}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2044}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2767}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0460}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2715}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2288}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1254}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4451}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2747}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.6252}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1657}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0511}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4001}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0201}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.4384}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0730}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2933}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0180}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1735}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0664}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0698}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0956}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1870}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0973}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}

{space 4}{hline 13}{c  TT}{hline 10}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp11}{space 1}
{space 4}{hline 13}{c   +}{hline 10}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.1670}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0222}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3655}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3258}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0197}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1191}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2943}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0652}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0068}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0565}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.7894}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}
 
Warning: f1172016 has 632 values < 0. Used in calculations
 
Distributional summary statistics, 5 quantile groups

{hline 10}{c TT}{hline 64}
Quantile  {c |}
group     {c |}    Quantile  % of median     Share, %      L(p), %        GL(p)
{hline 10}{c +}{hline 64}
        1 {c |}      {res}-1.264     -395.880    3.477e+10    3.477e+10       -0.490
        {txt}2 {c |}      {res}-0.345     -107.989    1.016e+10    4.493e+10       -0.633
        {txt}3 {c |}       {res}0.631      197.604   -3.724e+09    4.120e+10       -0.580
        {txt}4 {c |}       {res}1.506      471.859   -1.496e+10    2.625e+10       -0.370
        {txt}5 {c |}            {res}                -2.625e+10      100.000       -0.000
{txt}{hline 10}{c BT}{hline 64}
Share = quantile group share of total f1172016; 
L(p)=cumulative group share; GL(p)=L(p)*mean(f1172016)
(1,509 real changes made)
(1,509 real changes made)

{com}. 
. label variable quintiles "Quintiles of wealth"
{txt}
{com}. 
. **Making wealth vars for 2004
. 
. #delimit ;
{txt}delimiter now ;
{com}. local yearlist "
> 2004
> " ;
{txt}
{com}. local countrylist "
> 1
> 2
> 3
> 4
> 5
> 6
> 7
> 8
> " ;
{txt}
{com}. #delimit cr
{txt}delimiter now cr
{com}. 
. 
. foreach country of local countrylist {c -(}
{txt}  2{com}. 
. foreach year of local yearlist {c -(}
{txt}  3{com}. 
. display "Now calculating `country'_`year'"
{txt}  4{com}. pca   r1 r3 r4 r4a r5 r6 r7 r12 r14 r15 if pais==`country' & year==`year'
{txt}  5{com}. predict  f1`country'`year' if pais==`country' & year==`year'
{txt}  6{com}. sumdist f1`country'`year',  n(5) qgp(quint`country'`year')
{txt}  7{com}. replace quintiles=quint`country'`year' if pais==`country' & year==`year'
{txt}  8{com}. replace wealthscoresquin=f1`country'`year' if pais==`country' & year==`year'
{txt}  9{com}. 
. {c )-}
{txt} 10{com}. {c )-}
Now calculating 1_2004

{txt}Principal components/correlation{col 50}Number of obs    = {res}     1,556
{col 50}{txt}Number of comp.  = {res}        10
{col 50}{txt}Trace            {col 67}=  {res}       10
{col 5}{txt}Rotation: (unrotated = principal){col 50}Rho              = {res}    1.0000

{txt}{col 5}{hline 13}{c TT}{hline 60}
{col 5}   Component {c |}   Eigenvalue   Difference         Proportion   Cumulative
{col 5}{hline 13}{c +}{hline 60}
{col 5}{ralign 12:Comp1} {c |}{res}      3.47277      2.16024             0.3473       0.3473
{txt}{col 5}{ralign 12:Comp2} {c |}{res}      1.31253      .383328             0.1313       0.4785
{txt}{col 5}{ralign 12:Comp3} {c |}{res}      .929207      .152657             0.0929       0.5715
{txt}{col 5}{ralign 12:Comp4} {c |}{res}       .77655     .0306458             0.0777       0.6491
{txt}{col 5}{ralign 12:Comp5} {c |}{res}      .745904     .0738801             0.0746       0.7237
{txt}{col 5}{ralign 12:Comp6} {c |}{res}      .672024     .0714014             0.0672       0.7909
{txt}{col 5}{ralign 12:Comp7} {c |}{res}      .600623     .0707521             0.0601       0.8510
{txt}{col 5}{ralign 12:Comp8} {c |}{res}      .529871     .0346728             0.0530       0.9039
{txt}{col 5}{ralign 12:Comp9} {c |}{res}      .495198     .0298807             0.0495       0.9535
{txt}{col 5}{ralign 12:Comp10} {c |}{res}      .465317            .             0.0465       1.0000
{txt}{col 5}{hline 13}{c BT}{hline 60}

Principal components (eigenvectors) 

{space 4}{hline 13}{c  TT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp1}{space 1}{space 1}{ralign 8:Comp2}{space 1}{space 1}{ralign 8:Comp3}{space 1}{space 1}{ralign 8:Comp4}{space 1}{space 1}{ralign 8:Comp5}{space 1}{space 1}{ralign 8:Comp6}{space 1}{space 1}{ralign 8:Comp7}{space 1}{space 1}{ralign 8:Comp8}{space 1}{space 1}{ralign 8:Comp9}{space 1}{space 1}{ralign 8:Comp10}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1863}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3593}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.7347}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4293}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1061}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0770}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2342}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0792}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1742}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0585}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3345}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2720}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3156}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3559}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0186}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1684}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5040}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1749}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5005}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1551}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3625}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0127}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1508}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2022}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5297}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1528}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0675}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.7019}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0592}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0110}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2881}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3590}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1127}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1908}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6992}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2002}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0566}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4372}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1250}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0106}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3060}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3293}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0246}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0776}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1058}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.8442}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2529}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0051}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0248}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0537}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3744}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0746}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0389}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5092}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2363}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0299}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0497}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1905}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5312}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4646}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3549}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2822}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0261}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1441}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0680}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0390}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.7196}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3175}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3379}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1845}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2800}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4242}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4591}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3627}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0644}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0924}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0641}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0452}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3659}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4965}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3496}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3306}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3332}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1724}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1738}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0234}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0340}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1205}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3658}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.6690}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2802}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4301}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0234}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4054}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3359}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4221}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3065}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3545}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1882}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1597}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}

{space 4}{hline 13}{c  TT}{hline 13}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 11:Unexplained}{space 1}
{space 4}{hline 13}{c   +}{hline 13}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 13}
{txt}({bf:score} assumed)
(9 components skipped)

Scoring coefficients 
{col 5}sum of squares(column-loading) = 1

{space 4}{hline 13}{c  TT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp1}{space 1}{space 1}{ralign 8:Comp2}{space 1}{space 1}{ralign 8:Comp3}{space 1}{space 1}{ralign 8:Comp4}{space 1}{space 1}{ralign 8:Comp5}{space 1}{space 1}{ralign 8:Comp6}{space 1}{space 1}{ralign 8:Comp7}{space 1}{space 1}{ralign 8:Comp8}{space 1}{space 1}{ralign 8:Comp9}{space 1}{space 1}{ralign 8:Comp10}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1863}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3593}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.7347}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4293}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1061}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0770}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2342}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0792}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1742}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0585}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3345}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2720}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3156}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3559}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0186}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1684}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5040}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1749}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5005}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1551}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3625}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0127}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1508}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2022}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5297}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1528}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0675}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.7019}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0592}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0110}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2881}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3590}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1127}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1908}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6992}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2002}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0566}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4372}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1250}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0106}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3060}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3293}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0246}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0776}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1058}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.8442}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2529}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0051}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0248}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0537}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3744}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0746}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0389}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5092}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2363}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0299}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0497}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1905}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5312}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4646}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3549}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2822}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0261}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1441}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0680}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0390}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.7196}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3175}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3379}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1845}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2800}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4242}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4591}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3627}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0644}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0924}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0641}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0452}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3659}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4965}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3496}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3306}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3332}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1724}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1738}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0234}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0340}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1205}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3658}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.6690}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2802}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4301}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0234}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4054}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3359}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4221}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3065}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3545}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1882}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1597}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
 
Warning: f112004 has 678 values < 0. Used in calculations
 
Distributional summary statistics, 5 quantile groups

{hline 10}{c TT}{hline 64}
Quantile  {c |}
group     {c |}    Quantile  % of median     Share, %      L(p), %        GL(p)
{hline 10}{c +}{hline 64}
        1 {c |}      {res}-1.518     -981.655   -1.957e+10   -1.957e+10       -0.576
        {txt}2 {c |}      {res}-0.213     -137.889   -5.732e+09   -2.530e+10       -0.745
        {txt}3 {c |}       {res}0.594      383.858    1.597e+09   -2.371e+10       -0.698
        {txt}4 {c |}       {res}1.632     1055.139    7.552e+09   -1.616e+10       -0.475
        {txt}5 {c |}            {res}                 1.616e+10      100.000        0.000
{txt}{hline 10}{c BT}{hline 64}
Share = quantile group share of total f112004; 
L(p)=cumulative group share; GL(p)=L(p)*mean(f112004)
(1,556 real changes made)
(1,556 real changes made)
Now calculating 2_2004

Principal components/correlation{col 50}Number of obs    = {res}     1,708
{col 50}{txt}Number of comp.  = {res}        10
{col 50}{txt}Trace            {col 67}=  {res}       10
{col 5}{txt}Rotation: (unrotated = principal){col 50}Rho              = {res}    1.0000

{txt}{col 5}{hline 13}{c TT}{hline 60}
{col 5}   Component {c |}   Eigenvalue   Difference         Proportion   Cumulative
{col 5}{hline 13}{c +}{hline 60}
{col 5}{ralign 12:Comp1} {c |}{res}      4.13637      2.75772             0.4136       0.4136
{txt}{col 5}{ralign 12:Comp2} {c |}{res}      1.37865      .593302             0.1379       0.5515
{txt}{col 5}{ralign 12:Comp3} {c |}{res}      .785351     .0886854             0.0785       0.6300
{txt}{col 5}{ralign 12:Comp4} {c |}{res}      .696665     .0589364             0.0697       0.6997
{txt}{col 5}{ralign 12:Comp5} {c |}{res}      .637729      .085048             0.0638       0.7635
{txt}{col 5}{ralign 12:Comp6} {c |}{res}      .552681     .0478017             0.0553       0.8187
{txt}{col 5}{ralign 12:Comp7} {c |}{res}      .504879     .0403243             0.0505       0.8692
{txt}{col 5}{ralign 12:Comp8} {c |}{res}      .464555      .033437             0.0465       0.9157
{txt}{col 5}{ralign 12:Comp9} {c |}{res}      .431118     .0191214             0.0431       0.9588
{txt}{col 5}{ralign 12:Comp10} {c |}{res}      .411997            .             0.0412       1.0000
{txt}{col 5}{hline 13}{c BT}{hline 60}

Principal components (eigenvectors) 

{space 4}{hline 13}{c  TT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp1}{space 1}{space 1}{ralign 8:Comp2}{space 1}{space 1}{ralign 8:Comp3}{space 1}{space 1}{ralign 8:Comp4}{space 1}{space 1}{ralign 8:Comp5}{space 1}{space 1}{ralign 8:Comp6}{space 1}{space 1}{ralign 8:Comp7}{space 1}{space 1}{ralign 8:Comp8}{space 1}{space 1}{ralign 8:Comp9}{space 1}{space 1}{ralign 8:Comp10}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3052}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4015}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1977}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1209}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1180}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3551}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6930}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0854}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1827}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1759}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3606}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1502}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2405}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3860}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2505}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0425}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1609}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0003}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2414}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.7013}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3589}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0969}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0472}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5531}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0460}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0029}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3256}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0803}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1806}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6376}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2962}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1309}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5443}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6560}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1367}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0106}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2399}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1587}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1899}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1759}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3026}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2365}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3075}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0410}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.8147}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1685}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1166}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1859}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0759}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1007}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3131}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3944}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2254}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0799}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1099}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2826}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4107}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.6469}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0858}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0529}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3272}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3322}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0749}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1297}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4170}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3381}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0168}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5806}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3646}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0398}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2592}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4548}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5218}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1830}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1670}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2944}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0635}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2524}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4840}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0611}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3306}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3490}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2915}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0615}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1495}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0436}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3642}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2989}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.6530}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0862}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2952}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3731}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3104}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1948}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0505}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.7489}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1049}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1340}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1813}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1188}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}

{space 4}{hline 13}{c  TT}{hline 13}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 11:Unexplained}{space 1}
{space 4}{hline 13}{c   +}{hline 13}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 13}
{txt}({bf:score} assumed)
(9 components skipped)

Scoring coefficients 
{col 5}sum of squares(column-loading) = 1

{space 4}{hline 13}{c  TT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp1}{space 1}{space 1}{ralign 8:Comp2}{space 1}{space 1}{ralign 8:Comp3}{space 1}{space 1}{ralign 8:Comp4}{space 1}{space 1}{ralign 8:Comp5}{space 1}{space 1}{ralign 8:Comp6}{space 1}{space 1}{ralign 8:Comp7}{space 1}{space 1}{ralign 8:Comp8}{space 1}{space 1}{ralign 8:Comp9}{space 1}{space 1}{ralign 8:Comp10}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3052}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4015}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1977}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1209}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1180}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3551}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6930}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0854}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1827}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1759}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3606}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1502}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2405}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3860}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2505}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0425}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1609}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0003}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2414}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.7013}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3589}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0969}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0472}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5531}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0460}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0029}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3256}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0803}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1806}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6376}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2962}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1309}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5443}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6560}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1367}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0106}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2399}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1587}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1899}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1759}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3026}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2365}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3075}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0410}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.8147}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1685}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1166}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1859}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0759}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1007}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3131}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3944}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2254}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0799}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1099}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2826}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4107}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.6469}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0858}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0529}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3272}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3322}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0749}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1297}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4170}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3381}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0168}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5806}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3646}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0398}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2592}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4548}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5218}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1830}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1670}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2944}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0635}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2524}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4840}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0611}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3306}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3490}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2915}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0615}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1495}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0436}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3642}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2989}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.6530}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0862}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2952}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3731}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3104}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1948}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0505}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.7489}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1049}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1340}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1813}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1188}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
 
Warning: f122004 has 882 values < 0. Used in calculations
 
Distributional summary statistics, 5 quantile groups

{hline 10}{c TT}{hline 64}
Quantile  {c |}
group     {c |}    Quantile  % of median     Share, %      L(p), %        GL(p)
{hline 10}{c +}{hline 64}
        1 {c |}      {res}-1.946      427.082   -6.161e+10   -6.161e+10       -0.489
        {txt}2 {c |}      {res}-0.644      141.469   -3.428e+10   -9.589e+10       -0.761
        {txt}3 {c |}       {res}0.124      -27.280   -6.477e+09   -1.024e+11       -0.813
        {txt}4 {c |}       {res}1.529     -335.702    2.318e+10   -7.919e+10       -0.629
        {txt}5 {c |}            {res}                 7.919e+10      100.000        0.000
{txt}{hline 10}{c BT}{hline 64}
Share = quantile group share of total f122004; 
L(p)=cumulative group share; GL(p)=L(p)*mean(f122004)
(1,708 real changes made)
(1,708 real changes made)
Now calculating 3_2004

Principal components/correlation{col 50}Number of obs    = {res}     1,589
{col 50}{txt}Number of comp.  = {res}        10
{col 50}{txt}Trace            {col 67}=  {res}       10
{col 5}{txt}Rotation: (unrotated = principal){col 50}Rho              = {res}    1.0000

{txt}{col 5}{hline 13}{c TT}{hline 60}
{col 5}   Component {c |}   Eigenvalue   Difference         Proportion   Cumulative
{col 5}{hline 13}{c +}{hline 60}
{col 5}{ralign 12:Comp1} {c |}{res}      3.93303      2.62043             0.3933       0.3933
{txt}{col 5}{ralign 12:Comp2} {c |}{res}      1.31261      .389731             0.1313       0.5246
{txt}{col 5}{ralign 12:Comp3} {c |}{res}      .922878      .190307             0.0923       0.6169
{txt}{col 5}{ralign 12:Comp4} {c |}{res}      .732571     .0681295             0.0733       0.6901
{txt}{col 5}{ralign 12:Comp5} {c |}{res}      .664442     .0650089             0.0664       0.7566
{txt}{col 5}{ralign 12:Comp6} {c |}{res}      .599433     .0803506             0.0599       0.8165
{txt}{col 5}{ralign 12:Comp7} {c |}{res}      .519082     .0326884             0.0519       0.8684
{txt}{col 5}{ralign 12:Comp8} {c |}{res}      .486394     .0506794             0.0486       0.9170
{txt}{col 5}{ralign 12:Comp9} {c |}{res}      .435714     .0418702             0.0436       0.9606
{txt}{col 5}{ralign 12:Comp10} {c |}{res}      .393844            .             0.0394       1.0000
{txt}{col 5}{hline 13}{c BT}{hline 60}

Principal components (eigenvectors) 

{space 4}{hline 13}{c  TT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp1}{space 1}{space 1}{ralign 8:Comp2}{space 1}{space 1}{ralign 8:Comp3}{space 1}{space 1}{ralign 8:Comp4}{space 1}{space 1}{ralign 8:Comp5}{space 1}{space 1}{ralign 8:Comp6}{space 1}{space 1}{ralign 8:Comp7}{space 1}{space 1}{ralign 8:Comp8}{space 1}{space 1}{ralign 8:Comp9}{space 1}{space 1}{ralign 8:Comp10}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2416}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3522}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6154}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0857}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1218}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5907}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2142}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1203}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0092}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0862}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3489}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2748}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2344}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2784}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0326}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3782}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2650}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2305}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4154}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4799}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3658}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2201}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1015}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3533}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0701}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2339}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1491}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0889}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.7610}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1173}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2647}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2407}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4774}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6793}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1720}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2579}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1803}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0500}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2266}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0128}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3333}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3158}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0755}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2193}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1901}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3302}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.7315}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1536}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1368}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1137}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3251}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3707}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1547}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0201}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2915}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3059}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0952}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.7298}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0997}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0494}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3181}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3285}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1266}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0716}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.6166}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0546}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2079}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5551}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1781}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0590}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2725}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3997}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4483}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4550}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0878}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1268}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3291}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1031}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0749}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4579}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3601}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3183}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2513}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1696}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0601}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0600}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1453}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1178}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3573}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.7122}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3070}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2966}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1356}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1986}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6610}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4019}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3354}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1821}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0573}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1122}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}

{space 4}{hline 13}{c  TT}{hline 13}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 11:Unexplained}{space 1}
{space 4}{hline 13}{c   +}{hline 13}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 13}
{txt}({bf:score} assumed)
(9 components skipped)

Scoring coefficients 
{col 5}sum of squares(column-loading) = 1

{space 4}{hline 13}{c  TT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp1}{space 1}{space 1}{ralign 8:Comp2}{space 1}{space 1}{ralign 8:Comp3}{space 1}{space 1}{ralign 8:Comp4}{space 1}{space 1}{ralign 8:Comp5}{space 1}{space 1}{ralign 8:Comp6}{space 1}{space 1}{ralign 8:Comp7}{space 1}{space 1}{ralign 8:Comp8}{space 1}{space 1}{ralign 8:Comp9}{space 1}{space 1}{ralign 8:Comp10}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2416}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3522}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6154}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0857}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1218}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5907}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2142}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1203}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0092}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0862}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3489}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2748}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2344}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2784}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0326}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3782}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2650}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2305}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4154}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4799}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3658}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2201}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1015}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3533}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0701}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2339}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1491}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0889}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.7610}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1173}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2647}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2407}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4774}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6793}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1720}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2579}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1803}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0500}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2266}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0128}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3333}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3158}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0755}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2193}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1901}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3302}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.7315}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1536}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1368}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1137}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3251}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3707}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1547}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0201}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2915}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3059}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0952}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.7298}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0997}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0494}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3181}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3285}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1266}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0716}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.6166}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0546}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2079}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5551}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1781}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0590}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2725}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3997}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4483}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4550}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0878}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1268}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3291}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1031}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0749}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4579}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3601}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3183}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2513}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1696}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0601}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0600}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1453}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1178}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3573}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.7122}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3070}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2966}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1356}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1986}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6610}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4019}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3354}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1821}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0573}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1122}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
 
Warning: f132004 has 902 values < 0. Used in calculations
 
Distributional summary statistics, 5 quantile groups

{hline 10}{c TT}{hline 64}
Quantile  {c |}
group     {c |}    Quantile  % of median     Share, %      L(p), %        GL(p)
{hline 10}{c +}{hline 64}
        1 {c |}      {res}-2.112     1871.418   -1.336e+11   -1.336e+11       -0.479
        {txt}2 {c |}      {res}-0.826      731.760   -7.864e+10   -2.123e+11       -0.761
        {txt}3 {c |}       {res}0.441     -390.688   -7.898e+09   -2.202e+11       -0.790
        {txt}4 {c |}       {res}1.540    -1364.088    4.811e+10   -1.720e+11       -0.617
        {txt}5 {c |}            {res}                 1.720e+11      100.000        0.000
{txt}{hline 10}{c BT}{hline 64}
Share = quantile group share of total f132004; 
L(p)=cumulative group share; GL(p)=L(p)*mean(f132004)
(1,589 real changes made)
(1,589 real changes made)
Now calculating 4_2004

Principal components/correlation{col 50}Number of obs    = {res}     1,500
{col 50}{txt}Number of comp.  = {res}        10
{col 50}{txt}Trace            {col 67}=  {res}       10
{col 5}{txt}Rotation: (unrotated = principal){col 50}Rho              = {res}    1.0000

{txt}{col 5}{hline 13}{c TT}{hline 60}
{col 5}   Component {c |}   Eigenvalue   Difference         Proportion   Cumulative
{col 5}{hline 13}{c +}{hline 60}
{col 5}{ralign 12:Comp1} {c |}{res}      4.27496      3.04637             0.4275       0.4275
{txt}{col 5}{ralign 12:Comp2} {c |}{res}      1.22859      .356709             0.1229       0.5504
{txt}{col 5}{ralign 12:Comp3} {c |}{res}      .871886      .134371             0.0872       0.6375
{txt}{col 5}{ralign 12:Comp4} {c |}{res}      .737515       .11194             0.0738       0.7113
{txt}{col 5}{ralign 12:Comp5} {c |}{res}      .625576      .077953             0.0626       0.7739
{txt}{col 5}{ralign 12:Comp6} {c |}{res}      .547623     .0244395             0.0548       0.8286
{txt}{col 5}{ralign 12:Comp7} {c |}{res}      .523183     .0729338             0.0523       0.8809
{txt}{col 5}{ralign 12:Comp8} {c |}{res}      .450249     .0670474             0.0450       0.9260
{txt}{col 5}{ralign 12:Comp9} {c |}{res}      .383202     .0259915             0.0383       0.9643
{txt}{col 5}{ralign 12:Comp10} {c |}{res}       .35721            .             0.0357       1.0000
{txt}{col 5}{hline 13}{c BT}{hline 60}

Principal components (eigenvectors) 

{space 4}{hline 13}{c  TT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp1}{space 1}{space 1}{ralign 8:Comp2}{space 1}{space 1}{ralign 8:Comp3}{space 1}{space 1}{ralign 8:Comp4}{space 1}{space 1}{ralign 8:Comp5}{space 1}{space 1}{ralign 8:Comp6}{space 1}{space 1}{ralign 8:Comp7}{space 1}{space 1}{ralign 8:Comp8}{space 1}{space 1}{ralign 8:Comp9}{space 1}{space 1}{ralign 8:Comp10}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2833}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4255}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5158}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0903}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0135}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3364}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1996}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1260}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1887}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5097}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3476}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3304}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3583}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1343}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0180}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0023}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0232}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0451}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1834}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.7662}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3473}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0706}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0197}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4680}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0463}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5290}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0612}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5323}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2363}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1734}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2947}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0912}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1555}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.8258}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1681}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1039}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0125}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3816}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1161}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0217}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3062}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2794}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1086}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0676}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.8051}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0853}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3705}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1322}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0069}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0400}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3039}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3631}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1730}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2273}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3548}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6509}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2683}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2105}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1533}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0696}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3523}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1607}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0590}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0120}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4166}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4004}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3361}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6239}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0196}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1000}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2736}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3880}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6109}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1243}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1376}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0364}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1525}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2124}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5209}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1611}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3451}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2951}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4029}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0323}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0026}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0423}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0702}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1135}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.7320}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2738}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2954}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4723}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0167}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0036}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0504}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0424}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.7780}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2100}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1741}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0724}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}

{space 4}{hline 13}{c  TT}{hline 13}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 11:Unexplained}{space 1}
{space 4}{hline 13}{c   +}{hline 13}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 13}
{txt}({bf:score} assumed)
(9 components skipped)

Scoring coefficients 
{col 5}sum of squares(column-loading) = 1

{space 4}{hline 13}{c  TT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp1}{space 1}{space 1}{ralign 8:Comp2}{space 1}{space 1}{ralign 8:Comp3}{space 1}{space 1}{ralign 8:Comp4}{space 1}{space 1}{ralign 8:Comp5}{space 1}{space 1}{ralign 8:Comp6}{space 1}{space 1}{ralign 8:Comp7}{space 1}{space 1}{ralign 8:Comp8}{space 1}{space 1}{ralign 8:Comp9}{space 1}{space 1}{ralign 8:Comp10}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2833}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4255}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5158}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0903}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0135}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3364}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1996}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1260}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1887}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5097}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3476}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3304}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3583}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1343}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0180}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0023}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0232}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0451}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1834}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.7662}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3473}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0706}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0197}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4680}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0463}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5290}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0612}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5323}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2363}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1734}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2947}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0912}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1555}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.8258}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1681}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1039}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0125}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3816}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1161}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0217}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3062}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2794}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1086}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0676}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.8051}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0853}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3705}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1322}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0069}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0400}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3039}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3631}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1730}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2273}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3548}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6509}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2683}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2105}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1533}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0696}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3523}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1607}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0590}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0120}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4166}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4004}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3361}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6239}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0196}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1000}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2736}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3880}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6109}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1243}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1376}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0364}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1525}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2124}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5209}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1611}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3451}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2951}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4029}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0323}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0026}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0423}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0702}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1135}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.7320}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2738}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2954}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4723}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0167}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0036}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0504}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0424}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.7780}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2100}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1741}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0724}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
 
Warning: f142004 has 896 values < 0. Used in calculations
 
Distributional summary statistics, 5 quantile groups

{hline 10}{c TT}{hline 64}
Quantile  {c |}
group     {c |}    Quantile  % of median     Share, %      L(p), %        GL(p)
{hline 10}{c +}{hline 64}
        1 {c |}      {res}-1.601      380.015   -4.240e+09   -4.240e+09       -0.536
        {txt}2 {c |}      {res}-0.994      235.974   -1.496e+09   -5.736e+09       -0.725
        {txt}3 {c |}       {res}0.002       -0.450   -8.390e+08   -6.575e+09       -0.831
        {txt}4 {c |}       {res}1.460     -346.679    1.222e+09   -5.352e+09       -0.676
        {txt}5 {c |}            {res}                 5.352e+09      100.000        0.000
{txt}{hline 10}{c BT}{hline 64}
Share = quantile group share of total f142004; 
L(p)=cumulative group share; GL(p)=L(p)*mean(f142004)
(1,500 real changes made)
(1,500 real changes made)
Now calculating 5_2004

Principal components/correlation{col 50}Number of obs    = {res}     1,430
{col 50}{txt}Number of comp.  = {res}        10
{col 50}{txt}Trace            {col 67}=  {res}       10
{col 5}{txt}Rotation: (unrotated = principal){col 50}Rho              = {res}    1.0000

{txt}{col 5}{hline 13}{c TT}{hline 60}
{col 5}   Component {c |}   Eigenvalue   Difference         Proportion   Cumulative
{col 5}{hline 13}{c +}{hline 60}
{col 5}{ralign 12:Comp1} {c |}{res}      3.70927      2.49125             0.3709       0.3709
{txt}{col 5}{ralign 12:Comp2} {c |}{res}      1.21802      .374422             0.1218       0.4927
{txt}{col 5}{ralign 12:Comp3} {c |}{res}      .843596      .061982             0.0844       0.5771
{txt}{col 5}{ralign 12:Comp4} {c |}{res}      .781614     .0503894             0.0782       0.6553
{txt}{col 5}{ralign 12:Comp5} {c |}{res}      .731225     .0533808             0.0731       0.7284
{txt}{col 5}{ralign 12:Comp6} {c |}{res}      .677844     .0692752             0.0678       0.7962
{txt}{col 5}{ralign 12:Comp7} {c |}{res}      .608569     .0561422             0.0609       0.8570
{txt}{col 5}{ralign 12:Comp8} {c |}{res}      .552426      .105056             0.0552       0.9123
{txt}{col 5}{ralign 12:Comp9} {c |}{res}      .447371     .0173046             0.0447       0.9570
{txt}{col 5}{ralign 12:Comp10} {c |}{res}      .430066            .             0.0430       1.0000
{txt}{col 5}{hline 13}{c BT}{hline 60}

Principal components (eigenvectors) 

{space 4}{hline 13}{c  TT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp1}{space 1}{space 1}{ralign 8:Comp2}{space 1}{space 1}{ralign 8:Comp3}{space 1}{space 1}{ralign 8:Comp4}{space 1}{space 1}{ralign 8:Comp5}{space 1}{space 1}{ralign 8:Comp6}{space 1}{space 1}{ralign 8:Comp7}{space 1}{space 1}{ralign 8:Comp8}{space 1}{space 1}{ralign 8:Comp9}{space 1}{space 1}{ralign 8:Comp10}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3052}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4399}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1118}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3191}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2244}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0838}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4636}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3394}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3104}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3394}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3684}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1490}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0213}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1472}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1212}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5404}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3002}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0525}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6028}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2386}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3765}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0658}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0325}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4479}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1925}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2006}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0200}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1061}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.6831}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3110}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3272}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0493}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1980}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5307}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3154}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2544}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3604}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5135}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1054}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0259}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2681}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1276}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.7010}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2365}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4977}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2682}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1066}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1830}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0057}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0047}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2131}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4706}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5865}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3534}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3213}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1995}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2906}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1867}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0380}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0211}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3256}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3647}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1523}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0075}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0986}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1874}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4863}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6640}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0859}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0900}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3101}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4392}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1819}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0518}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0981}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5505}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2213}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0802}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1392}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5363}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3681}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2067}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1031}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3437}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2070}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2062}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2561}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2938}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1495}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.6583}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2594}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4137}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2110}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3041}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6207}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3217}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3431}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0710}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1101}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0304}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}

{space 4}{hline 13}{c  TT}{hline 13}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 11:Unexplained}{space 1}
{space 4}{hline 13}{c   +}{hline 13}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 13}
{txt}({bf:score} assumed)
(9 components skipped)

Scoring coefficients 
{col 5}sum of squares(column-loading) = 1

{space 4}{hline 13}{c  TT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp1}{space 1}{space 1}{ralign 8:Comp2}{space 1}{space 1}{ralign 8:Comp3}{space 1}{space 1}{ralign 8:Comp4}{space 1}{space 1}{ralign 8:Comp5}{space 1}{space 1}{ralign 8:Comp6}{space 1}{space 1}{ralign 8:Comp7}{space 1}{space 1}{ralign 8:Comp8}{space 1}{space 1}{ralign 8:Comp9}{space 1}{space 1}{ralign 8:Comp10}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3052}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4399}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1118}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3191}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2244}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0838}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4636}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3394}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3104}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3394}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3684}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1490}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0213}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1472}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1212}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5404}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3002}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0525}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6028}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2386}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3765}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0658}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0325}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4479}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1925}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2006}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0200}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1061}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.6831}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3110}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3272}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0493}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1980}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5307}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3154}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2544}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3604}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5135}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1054}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0259}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2681}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1276}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.7010}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2365}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4977}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2682}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1066}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1830}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0057}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0047}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2131}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4706}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5865}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3534}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3213}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1995}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2906}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1867}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0380}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0211}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3256}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3647}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1523}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0075}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0986}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1874}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4863}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6640}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0859}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0900}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3101}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4392}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1819}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0518}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0981}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5505}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2213}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0802}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1392}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5363}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3681}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2067}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1031}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3437}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2070}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2062}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2561}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2938}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1495}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.6583}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2594}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4137}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2110}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3041}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6207}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3217}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3431}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0710}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1101}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0304}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
 
Warning: f152004 has 813 values < 0. Used in calculations
 
Distributional summary statistics, 5 quantile groups

{hline 10}{c TT}{hline 64}
Quantile  {c |}
group     {c |}    Quantile  % of median     Share, %      L(p), %        GL(p)
{hline 10}{c +}{hline 64}
        1 {c |}      {res}-1.937      295.121   -5.170e+09   -5.170e+09       -0.439
        {txt}2 {c |}      {res}-0.656      100.000   -3.390e+09   -8.560e+09       -0.727
        {txt}3 {c |}       {res}0.123      -18.696   -3.149e+08   -8.875e+09       -0.753
        {txt}4 {c |}       {res}1.573     -239.656    1.538e+09   -7.337e+09       -0.623
        {txt}5 {c |}            {res}                 7.337e+09      100.000        0.000
{txt}{hline 10}{c BT}{hline 64}
Share = quantile group share of total f152004; 
L(p)=cumulative group share; GL(p)=L(p)*mean(f152004)
(1,430 real changes made)
(1,430 real changes made)
Now calculating 6_2004

Principal components/correlation{col 50}Number of obs    = {res}     1,488
{col 50}{txt}Number of comp.  = {res}        10
{col 50}{txt}Trace            {col 67}=  {res}       10
{col 5}{txt}Rotation: (unrotated = principal){col 50}Rho              = {res}    1.0000

{txt}{col 5}{hline 13}{c TT}{hline 60}
{col 5}   Component {c |}   Eigenvalue   Difference         Proportion   Cumulative
{col 5}{hline 13}{c +}{hline 60}
{col 5}{ralign 12:Comp1} {c |}{res}      3.23442      1.70356             0.3234       0.3234
{txt}{col 5}{ralign 12:Comp2} {c |}{res}      1.53086      .541531             0.1531       0.4765
{txt}{col 5}{ralign 12:Comp3} {c |}{res}      .989329      .218481             0.0989       0.5755
{txt}{col 5}{ralign 12:Comp4} {c |}{res}      .770848      .110434             0.0771       0.6525
{txt}{col 5}{ralign 12:Comp5} {c |}{res}      .660413     .0393329             0.0660       0.7186
{txt}{col 5}{ralign 12:Comp6} {c |}{res}      .621081     .0347131             0.0621       0.7807
{txt}{col 5}{ralign 12:Comp7} {c |}{res}      .586368     .0282552             0.0586       0.8393
{txt}{col 5}{ralign 12:Comp8} {c |}{res}      .558112     .0145524             0.0558       0.8951
{txt}{col 5}{ralign 12:Comp9} {c |}{res}       .54356     .0385519             0.0544       0.9495
{txt}{col 5}{ralign 12:Comp10} {c |}{res}      .505008            .             0.0505       1.0000
{txt}{col 5}{hline 13}{c BT}{hline 60}

Principal components (eigenvectors) 

{space 4}{hline 13}{c  TT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp1}{space 1}{space 1}{ralign 8:Comp2}{space 1}{space 1}{ralign 8:Comp3}{space 1}{space 1}{ralign 8:Comp4}{space 1}{space 1}{ralign 8:Comp5}{space 1}{space 1}{ralign 8:Comp6}{space 1}{space 1}{ralign 8:Comp7}{space 1}{space 1}{ralign 8:Comp8}{space 1}{space 1}{ralign 8:Comp9}{space 1}{space 1}{ralign 8:Comp10}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2739}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3678}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2167}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4140}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.7098}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1295}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1340}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1212}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1237}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0533}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3262}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3209}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3623}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1502}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1612}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0207}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0923}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3127}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.7096}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0243}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3611}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0500}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2224}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5648}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2007}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1638}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4028}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2217}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2624}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3890}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3259}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3828}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0891}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3233}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1546}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2789}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0876}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3994}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1870}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5753}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2996}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3910}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1007}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4123}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2690}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2159}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4771}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3464}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1980}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2673}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3185}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3022}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3421}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1804}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4210}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3567}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2617}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2024}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4823}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1052}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3845}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2100}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0208}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3114}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1168}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0484}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0814}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5591}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1470}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5949}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2121}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2375}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.7566}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1629}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1461}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4561}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0211}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1186}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2156}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0962}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3060}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3577}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2443}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2314}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1888}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.6786}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1935}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1696}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1926}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2563}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3230}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3742}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0688}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0543}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2931}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1828}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6805}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4031}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0183}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0531}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}

{space 4}{hline 13}{c  TT}{hline 13}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 11:Unexplained}{space 1}
{space 4}{hline 13}{c   +}{hline 13}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 13}
{txt}({bf:score} assumed)
(9 components skipped)

Scoring coefficients 
{col 5}sum of squares(column-loading) = 1

{space 4}{hline 13}{c  TT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp1}{space 1}{space 1}{ralign 8:Comp2}{space 1}{space 1}{ralign 8:Comp3}{space 1}{space 1}{ralign 8:Comp4}{space 1}{space 1}{ralign 8:Comp5}{space 1}{space 1}{ralign 8:Comp6}{space 1}{space 1}{ralign 8:Comp7}{space 1}{space 1}{ralign 8:Comp8}{space 1}{space 1}{ralign 8:Comp9}{space 1}{space 1}{ralign 8:Comp10}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2739}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3678}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2167}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4140}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.7098}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1295}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1340}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1212}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1237}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0533}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3262}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3209}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3623}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1502}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1612}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0207}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0923}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3127}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.7096}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0243}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3611}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0500}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2224}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5648}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2007}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1638}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4028}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2217}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2624}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3890}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3259}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3828}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0891}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3233}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1546}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2789}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0876}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3994}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1870}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5753}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2996}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3910}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1007}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4123}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2690}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2159}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4771}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3464}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1980}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2673}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3185}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3022}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3421}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1804}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4210}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3567}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2617}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2024}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4823}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1052}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3845}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2100}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0208}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3114}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1168}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0484}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0814}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5591}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1470}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5949}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2121}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2375}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.7566}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1629}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1461}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4561}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0211}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1186}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2156}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0962}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3060}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3577}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2443}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2314}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1888}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.6786}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1935}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1696}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1926}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2563}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3230}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3742}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0688}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0543}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2931}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1828}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6805}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4031}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0183}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0531}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
 
Warning: f162004 has 647 values < 0. Used in calculations
 
Distributional summary statistics, 5 quantile groups

{hline 10}{c TT}{hline 64}
Quantile  {c |}
group     {c |}    Quantile  % of median     Share, %      L(p), %        GL(p)
{hline 10}{c +}{hline 64}
        1 {c |}      {res}-1.288     -489.310    5.139e+10    5.139e+10       -0.584
        {txt}2 {c |}      {res}-0.238      -90.332    8.499e+09    5.989e+10       -0.681
        {txt}3 {c |}       {res}0.710      269.684   -5.996e+09    5.390e+10       -0.613
        {txt}4 {c |}       {res}1.441      547.463   -1.840e+10    3.550e+10       -0.403
        {txt}5 {c |}            {res}                -3.550e+10      100.000       -0.000
{txt}{hline 10}{c BT}{hline 64}
Share = quantile group share of total f162004; 
L(p)=cumulative group share; GL(p)=L(p)*mean(f162004)
(1,488 real changes made)
(1,488 real changes made)
Now calculating 7_2004

Principal components/correlation{col 50}Number of obs    = {res}     1,639
{col 50}{txt}Number of comp.  = {res}        10
{col 50}{txt}Trace            {col 67}=  {res}       10
{col 5}{txt}Rotation: (unrotated = principal){col 50}Rho              = {res}    1.0000

{txt}{col 5}{hline 13}{c TT}{hline 60}
{col 5}   Component {c |}   Eigenvalue   Difference         Proportion   Cumulative
{col 5}{hline 13}{c +}{hline 60}
{col 5}{ralign 12:Comp1} {c |}{res}      4.21847      2.95469             0.4218       0.4218
{txt}{col 5}{ralign 12:Comp2} {c |}{res}      1.26378      .433617             0.1264       0.5482
{txt}{col 5}{ralign 12:Comp3} {c |}{res}      .830163      .125155             0.0830       0.6312
{txt}{col 5}{ralign 12:Comp4} {c |}{res}      .705008     .0753508             0.0705       0.7017
{txt}{col 5}{ralign 12:Comp5} {c |}{res}      .629657     .0534299             0.0630       0.7647
{txt}{col 5}{ralign 12:Comp6} {c |}{res}      .576227     .0375803             0.0576       0.8223
{txt}{col 5}{ralign 12:Comp7} {c |}{res}      .538647     .0303595             0.0539       0.8762
{txt}{col 5}{ralign 12:Comp8} {c |}{res}      .508287     .0872355             0.0508       0.9270
{txt}{col 5}{ralign 12:Comp9} {c |}{res}      .421052      .112345             0.0421       0.9691
{txt}{col 5}{ralign 12:Comp10} {c |}{res}      .308707            .             0.0309       1.0000
{txt}{col 5}{hline 13}{c BT}{hline 60}

Principal components (eigenvectors) 

{space 4}{hline 13}{c  TT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp1}{space 1}{space 1}{ralign 8:Comp2}{space 1}{space 1}{ralign 8:Comp3}{space 1}{space 1}{ralign 8:Comp4}{space 1}{space 1}{ralign 8:Comp5}{space 1}{space 1}{ralign 8:Comp6}{space 1}{space 1}{ralign 8:Comp7}{space 1}{space 1}{ralign 8:Comp8}{space 1}{space 1}{ralign 8:Comp9}{space 1}{space 1}{ralign 8:Comp10}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2977}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4242}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2006}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3296}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0891}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4390}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2921}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1583}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5184}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0522}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3540}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2865}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0291}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2505}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0037}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2612}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1492}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1757}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.7789}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0306}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3100}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2290}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4560}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3427}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0798}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1316}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5981}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2505}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2857}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0181}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2787}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0534}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.7443}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2691}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1469}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0374}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4667}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2171}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0619}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0358}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2707}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4153}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1382}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0047}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.8269}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0702}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0227}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2138}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0080}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0082}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3308}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1457}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0537}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4061}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0099}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.7088}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2800}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3450}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0371}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0151}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3110}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3663}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0544}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0438}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4863}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2057}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0637}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.6846}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0917}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0647}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3543}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2688}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2634}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4822}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0720}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0466}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0389}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0062}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0624}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6982}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3668}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1361}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3117}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4844}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0040}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0771}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0917}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0132}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0540}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.7055}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2698}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5138}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0744}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0693}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1961}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4032}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4732}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4478}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1497}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0713}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}

{space 4}{hline 13}{c  TT}{hline 13}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 11:Unexplained}{space 1}
{space 4}{hline 13}{c   +}{hline 13}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 13}
{txt}({bf:score} assumed)
(9 components skipped)

Scoring coefficients 
{col 5}sum of squares(column-loading) = 1

{space 4}{hline 13}{c  TT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp1}{space 1}{space 1}{ralign 8:Comp2}{space 1}{space 1}{ralign 8:Comp3}{space 1}{space 1}{ralign 8:Comp4}{space 1}{space 1}{ralign 8:Comp5}{space 1}{space 1}{ralign 8:Comp6}{space 1}{space 1}{ralign 8:Comp7}{space 1}{space 1}{ralign 8:Comp8}{space 1}{space 1}{ralign 8:Comp9}{space 1}{space 1}{ralign 8:Comp10}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2977}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4242}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2006}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3296}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0891}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4390}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2921}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1583}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5184}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0522}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3540}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2865}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0291}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2505}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0037}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2612}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1492}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1757}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.7789}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0306}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3100}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2290}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4560}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3427}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0798}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1316}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5981}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2505}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2857}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0181}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2787}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0534}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.7443}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2691}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1469}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0374}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4667}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2171}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0619}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0358}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2707}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4153}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1382}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0047}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.8269}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0702}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0227}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2138}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0080}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0082}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3308}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1457}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0537}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4061}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0099}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.7088}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2800}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3450}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0371}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0151}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3110}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3663}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0544}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0438}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4863}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2057}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0637}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.6846}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0917}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0647}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3543}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2688}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2634}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4822}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0720}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0466}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0389}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0062}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0624}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6982}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3668}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1361}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3117}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4844}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0040}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0771}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0917}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0132}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0540}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.7055}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2698}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5138}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0744}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0693}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1961}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4032}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4732}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4478}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1497}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0713}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
 
Warning: f172004 has 745 values < 0. Used in calculations
 
Distributional summary statistics, 5 quantile groups

{hline 10}{c TT}{hline 64}
Quantile  {c |}
group     {c |}    Quantile  % of median     Share, %      L(p), %        GL(p)
{hline 10}{c +}{hline 64}
        1 {c |}      {res}-1.808     -449.869   -2.059e+10   -2.059e+10       -0.637
        {txt}2 {c |}      {res}-0.164      -40.732   -6.612e+09   -2.720e+10       -0.841
        {txt}3 {c |}       {res}0.670      166.798    2.281e+09   -2.492e+10       -0.770
        {txt}4 {c |}       {res}1.812      450.779    7.815e+09   -1.710e+10       -0.529
        {txt}5 {c |}            {res}                 1.710e+10      100.000        0.000
{txt}{hline 10}{c BT}{hline 64}
Share = quantile group share of total f172004; 
L(p)=cumulative group share; GL(p)=L(p)*mean(f172004)
(1,639 real changes made)
(1,639 real changes made)
Now calculating 8_2004

Principal components/correlation{col 50}Number of obs    = {res}     1,476
{col 50}{txt}Number of comp.  = {res}        10
{col 50}{txt}Trace            {col 67}=  {res}       10
{col 5}{txt}Rotation: (unrotated = principal){col 50}Rho              = {res}    1.0000

{txt}{col 5}{hline 13}{c TT}{hline 60}
{col 5}   Component {c |}   Eigenvalue   Difference         Proportion   Cumulative
{col 5}{hline 13}{c +}{hline 60}
{col 5}{ralign 12:Comp1} {c |}{res}      3.63998      2.03255             0.3640       0.3640
{txt}{col 5}{ralign 12:Comp2} {c |}{res}      1.60743      .812368             0.1607       0.5247
{txt}{col 5}{ralign 12:Comp3} {c |}{res}      .795065     .0603121             0.0795       0.6042
{txt}{col 5}{ralign 12:Comp4} {c |}{res}      .734753     .0906822             0.0735       0.6777
{txt}{col 5}{ralign 12:Comp5} {c |}{res}      .644071     .0536169             0.0644       0.7421
{txt}{col 5}{ralign 12:Comp6} {c |}{res}      .590454     .0391288             0.0590       0.8012
{txt}{col 5}{ralign 12:Comp7} {c |}{res}      .551325     .0337254             0.0551       0.8563
{txt}{col 5}{ralign 12:Comp8} {c |}{res}        .5176     .0277177             0.0518       0.9081
{txt}{col 5}{ralign 12:Comp9} {c |}{res}      .489882     .0604494             0.0490       0.9571
{txt}{col 5}{ralign 12:Comp10} {c |}{res}      .429433            .             0.0429       1.0000
{txt}{col 5}{hline 13}{c BT}{hline 60}

Principal components (eigenvectors) 

{space 4}{hline 13}{c  TT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp1}{space 1}{space 1}{ralign 8:Comp2}{space 1}{space 1}{ralign 8:Comp3}{space 1}{space 1}{ralign 8:Comp4}{space 1}{space 1}{ralign 8:Comp5}{space 1}{space 1}{ralign 8:Comp6}{space 1}{space 1}{ralign 8:Comp7}{space 1}{space 1}{ralign 8:Comp8}{space 1}{space 1}{ralign 8:Comp9}{space 1}{space 1}{ralign 8:Comp10}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2637}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3947}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3611}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3914}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4515}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2414}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1231}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3441}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2545}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1751}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3288}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2623}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5052}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0451}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0397}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1493}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1496}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6559}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2537}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1580}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3647}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1031}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2424}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4235}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2818}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2172}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2389}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5115}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0476}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4131}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3352}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2794}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0394}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2558}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2369}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.6022}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3568}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1833}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3746}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1504}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2928}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3010}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0660}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6224}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3094}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5256}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0424}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0458}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2317}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0485}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3637}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1994}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1164}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4332}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1029}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0779}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3817}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0665}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5060}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4516}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2941}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3439}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1663}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1228}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.7259}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3221}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1986}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0737}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2509}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1184}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2598}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4234}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5887}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0225}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0257}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0819}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1750}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1691}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3729}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4478}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3100}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3963}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3852}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0636}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1369}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1349}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1134}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0648}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4584}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5747}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3301}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3191}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1161}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0729}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0802}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3140}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.7401}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3336}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0799}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0042}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}

{space 4}{hline 13}{c  TT}{hline 13}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 11:Unexplained}{space 1}
{space 4}{hline 13}{c   +}{hline 13}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 13}
{txt}({bf:score} assumed)
(9 components skipped)

Scoring coefficients 
{col 5}sum of squares(column-loading) = 1

{space 4}{hline 13}{c  TT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp1}{space 1}{space 1}{ralign 8:Comp2}{space 1}{space 1}{ralign 8:Comp3}{space 1}{space 1}{ralign 8:Comp4}{space 1}{space 1}{ralign 8:Comp5}{space 1}{space 1}{ralign 8:Comp6}{space 1}{space 1}{ralign 8:Comp7}{space 1}{space 1}{ralign 8:Comp8}{space 1}{space 1}{ralign 8:Comp9}{space 1}{space 1}{ralign 8:Comp10}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2637}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3947}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3611}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3914}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4515}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2414}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1231}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3441}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2545}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1751}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3288}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2623}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5052}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0451}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0397}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1493}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1496}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6559}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2537}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1580}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3647}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1031}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2424}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4235}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2818}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2172}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2389}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5115}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0476}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4131}}}{space 1}
{space 4}{space 0}{ralign 12:r4a}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3352}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2794}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0394}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2558}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2369}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.6022}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3568}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1833}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3746}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1504}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2928}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3010}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0660}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6224}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3094}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5256}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0424}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0458}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2317}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0485}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3637}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1994}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1164}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4332}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1029}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0779}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3817}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0665}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5060}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4516}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2941}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3439}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1663}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1228}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.7259}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3221}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1986}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0737}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2509}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1184}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2598}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4234}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5887}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0225}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0257}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0819}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1750}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1691}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3729}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4478}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3100}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3963}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3852}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0636}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1369}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1349}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1134}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0648}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4584}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5747}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3301}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3191}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1161}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0729}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0802}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3140}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.7401}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3336}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0799}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0042}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
 
Warning: f182004 has 678 values < 0. Used in calculations
 
Distributional summary statistics, 5 quantile groups

{hline 10}{c TT}{hline 64}
Quantile  {c |}
group     {c |}    Quantile  % of median     Share, %      L(p), %        GL(p)
{hline 10}{c +}{hline 64}
        1 {c |}      {res}-1.427    -2211.159    1.794e+10    1.794e+10       -0.592
        {txt}2 {c |}      {res}-0.669    -1036.178    4.124e+09    2.207e+10       -0.728
        {txt}3 {c |}       {res}0.065      100.000    1.497e+08    2.222e+10       -0.733
        {txt}4 {c |}       {res}1.636     2535.263   -5.975e+09    1.624e+10       -0.536
        {txt}5 {c |}            {res}                -1.624e+10      100.000       -0.000
{txt}{hline 10}{c BT}{hline 64}
Share = quantile group share of total f182004; 
L(p)=cumulative group share; GL(p)=L(p)*mean(f182004)
(1,476 real changes made)
(1,476 real changes made)

{com}. 
. 
. **Calculation for Ecuador 2004
. pca   r1 r3 r4 r5 r6 r7 r8 r12 r14 if pais==9 & year==2004

{txt}Principal components/correlation{col 50}Number of obs    = {res}     3,000
{col 50}{txt}Number of comp.  = {res}         9
{col 50}{txt}Trace            {col 67}=  {res}        9
{col 5}{txt}Rotation: (unrotated = principal){col 50}Rho              = {res}    1.0000

{txt}{col 5}{hline 13}{c TT}{hline 60}
{col 5}   Component {c |}   Eigenvalue   Difference         Proportion   Cumulative
{col 5}{hline 13}{c +}{hline 60}
{col 5}{ralign 12:Comp1} {c |}{res}      2.81769      1.56152             0.3131       0.3131
{txt}{col 5}{ralign 12:Comp2} {c |}{res}      1.25617      .304785             0.1396       0.4527
{txt}{col 5}{ralign 12:Comp3} {c |}{res}      .951386     .0243703             0.1057       0.5584
{txt}{col 5}{ralign 12:Comp4} {c |}{res}      .927016      .217259             0.1030       0.6614
{txt}{col 5}{ralign 12:Comp5} {c |}{res}      .709757     .0473151             0.0789       0.7402
{txt}{col 5}{ralign 12:Comp6} {c |}{res}      .662441     .0298144             0.0736       0.8138
{txt}{col 5}{ralign 12:Comp7} {c |}{res}      .632627     .0707893             0.0703       0.8841
{txt}{col 5}{ralign 12:Comp8} {c |}{res}      .561838       .08076             0.0624       0.9465
{txt}{col 5}{ralign 12:Comp9} {c |}{res}      .481078            .             0.0535       1.0000
{txt}{col 5}{hline 13}{c BT}{hline 60}

Principal components (eigenvectors) 

{space 4}{hline 13}{c  TT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{c  TT}{hline 13}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp1}{space 1}{space 1}{ralign 8:Comp2}{space 1}{space 1}{ralign 8:Comp3}{space 1}{space 1}{ralign 8:Comp4}{space 1}{space 1}{ralign 8:Comp5}{space 1}{space 1}{ralign 8:Comp6}{space 1}{space 1}{ralign 8:Comp7}{space 1}{space 1}{ralign 8:Comp8}{space 1}{space 1}{ralign 8:Comp9}{space 1}{c |}{space 1}{ralign 11:Unexplained}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{c   +}{hline 13}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3128}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3742}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4745}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1702}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1811}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1201}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4711}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4882}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0223}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3539}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3772}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3472}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1279}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0867}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0801}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1737}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.7426}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0036}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.4068}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0634}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0928}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1995}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0393}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1541}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.7712}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3946}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0796}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3392}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2931}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1280}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2737}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6381}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4435}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2745}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1613}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0501}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3896}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3915}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0315}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1255}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3024}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3024}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0549}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0022}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.7016}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3861}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4084}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0556}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1012}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3067}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2188}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1794}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0459}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.7033}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1704}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3132}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0838}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.9004}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1358}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1376}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1271}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0370}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0156}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2666}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2889}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6750}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0227}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3188}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5113}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1222}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0925}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0525}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3088}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3553}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4031}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0523}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4954}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5823}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1074}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1281}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0283}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{c  BT}{hline 13}

{com}. predict  f192004 if pais==9 & year==2004
{txt}({bf:score} assumed)
(8 components skipped)

Scoring coefficients 
{col 5}sum of squares(column-loading) = 1

{space 4}{hline 13}{c  TT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp1}{space 1}{space 1}{ralign 8:Comp2}{space 1}{space 1}{ralign 8:Comp3}{space 1}{space 1}{ralign 8:Comp4}{space 1}{space 1}{ralign 8:Comp5}{space 1}{space 1}{ralign 8:Comp6}{space 1}{space 1}{ralign 8:Comp7}{space 1}{space 1}{ralign 8:Comp8}{space 1}{space 1}{ralign 8:Comp9}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3128}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3742}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4745}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1702}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1811}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1201}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4711}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4882}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0223}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3539}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3772}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3472}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1279}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0867}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0801}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1737}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.7426}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0036}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.4068}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0634}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0928}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1995}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0393}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1541}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.7712}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3946}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0796}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3392}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2931}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1280}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2737}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6381}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4435}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2745}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1613}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0501}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3896}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3915}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0315}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1255}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3024}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3024}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0549}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0022}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.7016}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3861}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4084}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0556}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1012}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3067}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2188}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1794}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0459}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.7033}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1704}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3132}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0838}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.9004}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1358}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1376}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1271}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0370}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0156}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2666}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2889}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6750}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0227}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3188}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5113}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1222}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0925}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0525}}}{space 1}
{space 4}{space 0}{ralign 12:r14}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3088}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3553}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4031}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0523}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4954}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5823}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1074}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1281}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0283}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}

{com}. sumdist f192004,  n(5) qgp(quint92004)
 
{txt}Warning: f192004 has 1731 values < 0. Used in calculations
 
Distributional summary statistics, 5 quantile groups

{hline 10}{c TT}{hline 64}
Quantile  {c |}
group     {c |}    Quantile  % of median     Share, %      L(p), %        GL(p)
{hline 10}{c +}{hline 64}
        1 {c |}      {res}-1.615      683.181   -2.374e+10   -2.374e+10       -0.454
        {txt}2 {c |}      {res}-0.236      100.000   -1.036e+10   -3.410e+10       -0.652
        {txt}3 {c |}       {res}0.549     -232.347    3.832e+08   -3.372e+10       -0.644
        {txt}4 {c |}       {res}1.325     -560.193    8.701e+09   -2.502e+10       -0.478
        {txt}5 {c |}            {res}                 2.502e+10      100.000        0.000
{txt}{hline 10}{c BT}{hline 64}
Share = quantile group share of total f192004; 
L(p)=cumulative group share; GL(p)=L(p)*mean(f192004)

{com}. replace quintiles=quint92004 if pais==9 & year==2004
{txt}(3,000 real changes made)

{com}. replace wealthscoresquin=f192004 if pais==9 & year==2004
{txt}(3,000 real changes made)

{com}. 
. **Calculation for Bolivia 2004
. pca   r1 r3 r4 r5 r6 r7 r8 r12 r15 if pais==10 & year==2004

{txt}Principal components/correlation{col 50}Number of obs    = {res}     3,031
{col 50}{txt}Number of comp.  = {res}         9
{col 50}{txt}Trace            {col 67}=  {res}        9
{col 5}{txt}Rotation: (unrotated = principal){col 50}Rho              = {res}    1.0000

{txt}{col 5}{hline 13}{c TT}{hline 60}
{col 5}   Component {c |}   Eigenvalue   Difference         Proportion   Cumulative
{col 5}{hline 13}{c +}{hline 60}
{col 5}{ralign 12:Comp1} {c |}{res}      3.19383      1.98049             0.3549       0.3549
{txt}{col 5}{ralign 12:Comp2} {c |}{res}      1.21334      .214603             0.1348       0.4897
{txt}{col 5}{ralign 12:Comp3} {c |}{res}      .998738      .187505             0.1110       0.6007
{txt}{col 5}{ralign 12:Comp4} {c |}{res}      .811233       .14848             0.0901       0.6908
{txt}{col 5}{ralign 12:Comp5} {c |}{res}      .662753     .0517622             0.0736       0.7644
{txt}{col 5}{ralign 12:Comp6} {c |}{res}      .610991     .0568734             0.0679       0.8323
{txt}{col 5}{ralign 12:Comp7} {c |}{res}      .554117     .0320795             0.0616       0.8939
{txt}{col 5}{ralign 12:Comp8} {c |}{res}      .522038     .0890756             0.0580       0.9519
{txt}{col 5}{ralign 12:Comp9} {c |}{res}      .432962            .             0.0481       1.0000
{txt}{col 5}{hline 13}{c BT}{hline 60}

Principal components (eigenvectors) 

{space 4}{hline 13}{c  TT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{c  TT}{hline 13}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp1}{space 1}{space 1}{ralign 8:Comp2}{space 1}{space 1}{ralign 8:Comp3}{space 1}{space 1}{ralign 8:Comp4}{space 1}{space 1}{ralign 8:Comp5}{space 1}{space 1}{ralign 8:Comp6}{space 1}{space 1}{ralign 8:Comp7}{space 1}{space 1}{ralign 8:Comp8}{space 1}{space 1}{ralign 8:Comp9}{space 1}{c |}{space 1}{ralign 11:Unexplained}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{c   +}{hline 13}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3790}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3903}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0862}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2380}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0814}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0731}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0502}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5104}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6042}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.4014}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2746}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0435}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2080}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0552}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4767}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0119}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2292}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.6598}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.4176}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0227}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0591}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1473}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0355}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3754}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1802}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.7164}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3346}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3369}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3052}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0918}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0491}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.8630}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0035}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1540}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1159}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0242}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3274}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4434}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1207}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1570}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4336}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0385}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6825}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0342}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0208}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3196}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4889}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1249}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1731}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2337}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0968}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.6890}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2727}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0150}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0992}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0914}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.9346}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3166}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0151}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0773}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0084}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0325}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0277}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1966}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4633}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2519}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.8228}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0226}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0496}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0067}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0537}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0197}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3866}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1413}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1079}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2104}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0317}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.7792}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0207}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2842}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2921}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          0}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{c  BT}{hline 13}

{com}. predict  f1102004 if pais==10 & year==2004
{txt}({bf:score} assumed)
(8 components skipped)

Scoring coefficients 
{col 5}sum of squares(column-loading) = 1

{space 4}{hline 13}{c  TT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp1}{space 1}{space 1}{ralign 8:Comp2}{space 1}{space 1}{ralign 8:Comp3}{space 1}{space 1}{ralign 8:Comp4}{space 1}{space 1}{ralign 8:Comp5}{space 1}{space 1}{ralign 8:Comp6}{space 1}{space 1}{ralign 8:Comp7}{space 1}{space 1}{ralign 8:Comp8}{space 1}{space 1}{ralign 8:Comp9}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:r1}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3790}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3903}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0862}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2380}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0814}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0731}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0502}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5104}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6042}}}{space 1}
{space 4}{space 0}{ralign 12:r3}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.4014}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2746}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0435}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2080}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0552}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4767}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0119}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2292}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.6598}}}{space 1}
{space 4}{space 0}{ralign 12:r4}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.4176}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0227}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0591}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1473}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0355}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3754}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1802}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.7164}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3346}}}{space 1}
{space 4}{space 0}{ralign 12:r5}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3369}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3052}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0918}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0491}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.8630}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0035}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1540}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1159}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0242}}}{space 1}
{space 4}{space 0}{ralign 12:r6}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3274}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4434}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1207}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1570}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4336}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0385}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6825}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0342}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0208}}}{space 1}
{space 4}{space 0}{ralign 12:r7}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3196}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4889}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1249}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1731}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2337}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0968}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.6890}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2727}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0150}}}{space 1}
{space 4}{space 0}{ralign 12:r8}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0992}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0914}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.9346}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3166}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0151}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0773}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0084}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0325}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0277}}}{space 1}
{space 4}{space 0}{ralign 12:r12}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1966}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4633}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2519}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.8228}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0226}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0496}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0067}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0537}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0197}}}{space 1}
{space 4}{space 0}{ralign 12:r15}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3866}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1413}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1079}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2104}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0317}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.7792}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0207}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2842}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2921}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}

{com}. sumdist f1102004,  n(5) qgp(quint102004)
 
{txt}Warning: f1102004 has 1708 values < 0. Used in calculations
 
Distributional summary statistics, 5 quantile groups

{hline 10}{c TT}{hline 64}
Quantile  {c |}
group     {c |}    Quantile  % of median     Share, %      L(p), %        GL(p)
{hline 10}{c +}{hline 64}
        1 {c |}      {res}-1.902      670.876   -2.122e+10   -2.122e+10       -0.493
        {txt}2 {c |}      {res}-0.946      333.563   -8.154e+09   -2.937e+10       -0.682
        {txt}3 {c |}       {res}0.513     -180.997   -9.900e+08   -3.036e+10       -0.705
        {txt}4 {c |}       {res}1.399     -493.212    7.263e+09   -2.310e+10       -0.536
        {txt}5 {c |}            {res}                 2.310e+10      100.000        0.000
{txt}{hline 10}{c BT}{hline 64}
Share = quantile group share of total f1102004; 
L(p)=cumulative group share; GL(p)=L(p)*mean(f1102004)

{com}. replace quintiles=quint102004 if pais==10 & year==2004
{txt}(3,031 real changes made)

{com}. replace wealthscoresquin=f1102004 if pais==10 & year==2004
{txt}(3,031 real changes made)

{com}. 
. local varlist "f112006 quint12006 dec12006 f112008 quint12008 dec12008 f112010 quint12010 dec12010 f112012 quint12012 dec12012 f112014 quint12014 dec12014 f122006 quint22006 dec22006 f122008 quint22008 dec22008 f122010 quint22010 dec22010 f122012 quint22012 dec22012 f122014 quint22014 dec22014 f132006 quint32006 dec32006 f132008 quint32008 dec32008 f132010 quint32010 dec32010 f132012 quint32012 dec32012 f132014 quint32014 dec32014 f142006 quint42006 dec42006 f142008 quint42008 dec42008 f142010 quint42010 dec42010 f142012 quint42012 dec42012 f142014 quint42014 dec42014 f152006 quint52006 dec52006 f152008 quint52008 dec52008 f152010 quint52010 dec52010 f152012 quint52012 dec52012 f152014 quint52014 dec52014 f162006 quint62006 dec62006 f162008 quint62008 dec62008 f162010 quint62010 dec62010 f162012 quint62012 dec62012 f162014 quint62014 dec62014 f172006 quint72006 dec72006 f172008 quint72008 dec72008 f172010 quint72010 dec72010 f172012 quint72012 dec72012 f172014 quint72014 dec72014 f182006 quint82006 dec82006 f182008 quint82008 dec82008 f182010 quint82010 dec82010 f182012 quint82012 dec82012 f182014 quint82014 dec82014 f192006 quint92006 dec92006 f192008 quint92008 dec92008 f192010 quint92010 dec92010 f192012 quint92012 dec92012 f192014 quint92014 dec92014 f1102006 quint102006 dec102006 f1102008 quint102008 dec102008 f1102010 quint102010 dec102010 f1102012 quint102012 dec102012 f1102014 quint102014 dec102014 f1112006 quint112006 dec112006 f1112008 quint112008 dec112008 f1112010 quint112010 dec112010 f1112012 quint112012 dec112012 f1112014 quint112014 dec112014 f1122006 quint122006 dec122006 f1122008 quint122008 dec122008 f1122010 quint122010 dec122010 f1122012 quint122012 dec122012 f1122014 quint122014 dec122014 f1132006 quint132006 dec132006 f1132008 quint132008 dec132008 f1132010 quint132010 dec132010 f1132012 quint132012 dec132012 f1132014 quint132014 dec132014 f1142006 quint142006 dec142006 f1142008 quint142008 dec142008 f1142010 quint142010 dec142010 f1142012 quint142012 dec142012 f1142014 quint142014 dec142014 f1152006 quint152006 dec152006 f1152008 quint152008 dec152008 f1152010 quint152010 dec152010 f1152012 quint152012 dec152012 f1152014 quint152014 dec152014 f1162006 quint162006 dec162006 f1162008 quint162008 dec162008 f1162010 quint162010 dec162010 f1162012 quint162012 dec162012 f1162014 quint162014 dec162014 f1212006 quint212006 dec212006 f1212008 quint212008 dec212008 f1212010 quint212010 dec212010 f1212012 quint212012 dec212012 f1212014 quint212014 dec212014 f1172008 quint172008 dec172008 f1172010 quint172010 dec172010 f1172012 quint172012 dec172012 f1172014 quint172014 dec172014 f112004 quint12004 dec12004 f122004 quint22004 dec22004 f132004 quint32004 dec32004 f142004 quint42004 dec42004 f152004 quint52004 dec52004 f162004 quint62004 dec62004 f172004 quint72004 dec72004 f182004 quint82004 dec82004 f192004 quint92004 dec92004 f1102004 quint102004 dec102004"
{txt}
{com}. 
. foreach var of local varlist {c -(}
{txt}  2{com}. 
. capture drop `var' 
{txt}  3{com}. 
. {c )-}
{txt}
{com}. 
. saveold "Merge_2004_2016_reduced_recoded", replace
{txt}(saving in Stata 13 format)
{p 0 6 2}
(FYI, {bf:saveold} has options
{bf:version(12)} and {bf:version(11)} that
write files in older Stata formats)
{p_end}
{p 2 8 2}
note: variable label
"Pa�s"
contains unicode and thus may not display well
in Stata 13.
{p_end}
{p 2 8 2}
note: variable label
"A�o"
contains unicode and thus may not display well
in Stata 13.
{p_end}
{p 2 8 2}
note: variable label
"N�mero de cuestionario"
contains unicode and thus may not display well
in Stata 13.
{p_end}
{p 2 8 2}
note: variable label
"Tama�o del lugar"
contains unicode and thus may not display well
in Stata 13.
{p_end}
{p 2 8 2}
note: variable label
"Peso del pa�s"
contains unicode and thus may not display well
in Stata 13.
{p_end}
{p 2 8 2}
note: variable label
"Peso para estandarizar el tama�o en cada pa�s"
contains unicode and thus may not display well
in Stata 13.
{p_end}
{p 2 8 2}
note: variable label
"Un l�der fuerte vs la democracia electoral"
contains unicode and thus may not display well
in Stata 13.
{p_end}
{p 2 8 2}
note: variable label
"Solicit� ayuda a un miembro de la Asamblea Legistlativa"
contains unicode and thus may not display well
in Stata 13.
{p_end}
{p 2 8 2}
note: variable label
"Solicit� ayuda a un ministerio, instituci�n p�blica u oficina del gobierno"
contains unicode and thus may not display well
in Stata 13.
{p_end}
{p 2 8 2}
note: variable label
"Solicit� ayuda a una autoridad local"
contains unicode and thus may not display well
in Stata 13.
{p_end}
{p 2 8 2}
note: variable label
"Ayud� a resolver un problema en la comunidad"
contains unicode and thus may not display well
in Stata 13.
{p_end}
{p 2 8 2}
note: variable label
"Asistencia a reuniones de una organizaci�n religiosa"
contains unicode and thus may not display well
in Stata 13.
{p_end}
{p 2 8 2}
note: variable label
"Asistencia a reuniones de una asociaci�n de padres de familia"
contains unicode and thus may not display well
in Stata 13.
{p_end}
{p 2 8 2}
note: variable label
"Asistencia a reuniones de asociaci�n de comerciantes o campesinos"
contains unicode and thus may not display well
in Stata 13.
{p_end}
{p 2 8 2}
note: variable label
"�Reuniones de un sindicato?"
contains unicode and thus may not display well
in Stata 13.
{p_end}
{p 2 8 2}
note: variable label
"�De una cooperativa?"
contains unicode and thus may not display well
in Stata 13.
{p_end}
{p 2 8 2}
note: variable label
"Por favor, d�game si asiste a reuniones de alguna asociaci�n c�vica. �Asiste�?"
contains unicode and thus may not display well
in Stata 13.
{p_end}
{p 2 8 2}
note: variable label
"Asistencia a reuniones de movimientos o partidos pol�ticos"
contains unicode and thus may not display well
in Stata 13.
{p_end}
{p 2 8 2}
note: variable label
"Aprueba el derecho a los homosexuales de postularse a cargos p�blicos"
contains unicode and thus may not display well
in Stata 13.
{p_end}
{p 2 8 2}
note: variable label
"Percepci�n de la democracia"
contains unicode and thus may not display well
in Stata 13.
{p_end}
{p 2 8 2}
note: variable label
"Aprueba la participaci�n en protestas permitidas por ley"
contains unicode and thus may not display well
in Stata 13.
{p_end}
{p 2 8 2}
note: variable label
"A�os de educaci�n"
contains unicode and thus may not display well
in Stata 13.
{p_end}
{p 2 8 2}
note: variable label
"Percepci�n de corrupci�n de funcionarios p�blicos"
contains unicode and thus may not display well
in Stata 13.
{p_end}
{p 2 8 2}
note: variable label
"�Por qui�n vot� para Presidente en las �ltimas elecciones presidenciales?"
contains unicode and thus may not display well
in Stata 13.
{p_end}
{p 2 8 2}
note: variable label
"Percepci�n de situaci�n econ�mica personal"
contains unicode and thus may not display well
in Stata 13.
{p_end}
{p 2 8 2}
note: variable label
"En su opini�n se justificar�a que hubiera un golpe de estado por los militares.."
contains unicode and thus may not display well
in Stata 13.
{p_end}
{p 2 8 2}
note: variable label
"Golpe de Estado justificado cuando hay mucha corrupci�n"
contains unicode and thus may not display well
in Stata 13.
{p_end}
{p 2 8 2}
note: variable label
"Ideolog�a (izquierda / derecha)"
contains unicode and thus may not display well
in Stata 13.
{p_end}
{p 2 8 2}
note: variable label
"Satisfacci�n con la vida"
contains unicode and thus may not display well
in Stata 13.
{p_end}
{p 2 8 2}
note: variable label
"Aprobaci�n del trabajo del ejecutivo"
contains unicode and thus may not display well
in Stata 13.
{p_end}
{p 2 8 2}
note: variable label
"Asistencia a una reuni�n municipal"
contains unicode and thus may not display well
in Stata 13.
{p_end}
{p 2 8 2}
note: variable label
"Solicit� ayuda al gobierno municipal"
contains unicode and thus may not display well
in Stata 13.
{p_end}
{p 2 8 2}
note: variable label
"Satisfacci�n con la democracia"
contains unicode and thus may not display well
in Stata 13.
{p_end}
{p 2 8 2}
note: variable label
"�Con qu� frecuencia ha tratado usted de convencer a otros para que voten por un"
contains unicode and thus may not display well
in Stata 13.
{p_end}
{p 2 8 2}
note: variable label
"�Trabaj� usted para alg�n candidato o partido en las pasadas elecciones presiden"
contains unicode and thus may not display well
in Stata 13.
{p_end}
{p 2 8 2}
note: variable label
"�En cu�l de los siguientes rangos se encuentran los ingresos familiares mensuale"
contains unicode and thus may not display well
in Stata 13.
{p_end}
{p 2 8 2}
note: variable label
"Televisi�n en casa"
contains unicode and thus may not display well
in Stata 13.
{p_end}
{p 2 8 2}
note: variable label
"Tel�fono convencional en casa"
contains unicode and thus may not display well
in Stata 13.
{p_end}
{p 2 8 2}
note: variable label
"Tel�fono celular en casa"
contains unicode and thus may not display well
in Stata 13.
{p_end}
{p 2 8 2}
note: variable label
"N�mero de veh�culos en casa"
contains unicode and thus may not display well
in Stata 13.
{p_end}
{p 2 8 2}
note: variable label
"Cuarto de ba�o dentro de casa"
contains unicode and thus may not display well
in Stata 13.
{p_end}
{p 2 8 2}
note: variable label
"Evaluaci�n de la situaci�n econ�mica del pa�s"
contains unicode and thus may not display well
in Stata 13.
{p_end}
{p 2 8 2}
note: variable label
"Vot� en las �ltimas elecciones presidenciales"
contains unicode and thus may not display well
in Stata 13.
{p_end}
{p 2 8 2}
note: variable label
"�Ha sido usted v�ctima de alg�n acto de delincuencia en los �ltimos 12 meses?"
contains unicode and thus may not display well
in Stata 13.
{p_end}
{p 2 8 2}
note: variable label
"Nivel de educaci�n"
contains unicode and thus may not display well
in Stata 13.
{p_end}
{p 2 8 2}
note: variable label
"�En el �ltimo a�o, ha participado en una manifestaci�n o protesta p�blica?  �Lo "
contains unicode and thus may not display well
in Stata 13.
{p_end}
{p 2 8 2}
note: variable label
"�Cree Ud. que alguna vez puede haber raz�n suficiente para que el presidente cie"
contains unicode and thus may not display well
in Stata 13.
{p_end}
{p 2 8 2}
note: variable label
"Puede haber democracia sin que existan partidos pol�ticos. �Hasta que punto est�"
contains unicode and thus may not display well
in Stata 13.
{p_end}
{p 2 8 2}
note: variable label
"En su opini�n, �el pa�s es un pa�s muy democr�tico, algo democr�tico, poco democ"
contains unicode and thus may not display well
in Stata 13.
{p_end}
{p 2 8 2}
note: variable label
"Que las personas participen en una organizaci�n o grupo para tratar de resolver "
contains unicode and thus may not display well
in Stata 13.
{p_end}
{p 2 8 2}
note: variable label
"Que las personas trabajen en campa�as electorales para un partido pol�tico o can"
contains unicode and thus may not display well
in Stata 13.
{p_end}
{p 2 8 2}
note: variable label
"Que las personas se tomen f�bricas, oficinas y otros edificios"
contains unicode and thus may not display well
in Stata 13.
{p_end}
{p 2 8 2}
note: variable label
"�Por quien vot� para Presidente en las �ltimas elecciones presidenciales?"
contains unicode and thus may not display well
in Stata 13.
{p_end}
{p 2 8 2}
note: variable label
"�Con cu�l partido pol�tico simpatiza Ud. ?"
contains unicode and thus may not display well
in Stata 13.
{p_end}
{p 2 8 2}
note: variable label
"�En este momento, simpatiza con alg�n partido pol�tico?"
contains unicode and thus may not display well
in Stata 13.
{p_end}
{p 2 8 2}
note: variable label
"�Qu� tanto inter�s tiene usted en la pol�tica: mucho, algo, poco o nada?"
contains unicode and thus may not display well
in Stata 13.
{p_end}
{p 2 8 2}
note: variable label
"En lugares p�blicos (como en la calle, la plaza o el mercado)"
contains unicode and thus may not display well
in Stata 13.
{p_end}
{p 2 8 2}
note: variable label
"�Cu�l es su religi�n? "
contains unicode and thus may not display well
in Stata 13.
{p_end}
{p 2 8 2}
note: variable label
"Riqueza individual medida por la posesi�n de bienes de capital"
contains unicode and thus may not display well
in Stata 13.
{p_end}
{p 2 8 2}
note: variable label
"�Con qu� frecuencia asiste a reuniones de asociaciones o grupos de mujeres o ama"
contains unicode and thus may not display well
in Stata 13.
{p_end}
{p 2 8 2}
note: variable label
"Pensando en los partidos pol�ticos en general �Hasta qu� punto los partidos pol�"
contains unicode and thus may not display well
in Stata 13.
{p_end}
{p 2 8 2}
note: variable label
"�Qu� tanto los partidos pol�ticos escuchan a la gente como uno?"
contains unicode and thus may not display well
in Stata 13.
{p_end}
{p 2 8 2}
note: variable label
"�Hasta qu� punto est� de acuerdo con que para el progreso del pa�s, es necesario"
contains unicode and thus may not display well
in Stata 13.
{p_end}
{p 2 8 2}
note: variable label
"�Hasta qu� punto est� de acuerdo con que el pueblo debe gobernar directamente, y"
contains unicode and thus may not display well
in Stata 13.
{p_end}
{p 2 8 2}
note: variable label
"�Hasta qu� punto est� de acuerdo con que aquellos que no concuerdan con la mayor"
contains unicode and thus may not display well
in Stata 13.
{p_end}
{p 2 8 2}
note: variable label
"�Hasta qu� punto est� de acuerdo con que a  los que gobiernan el pa�s les intere"
contains unicode and thus may not display well
in Stata 13.
{p_end}
{p 2 8 2}
note: variable label
"�Hasta qu� punto est� de acuerdo con que el Estado peruano, en lugar del sector "
contains unicode and thus may not display well
in Stata 13.
{p_end}
{p 2 8 2}
note: variable label
"�Hasta qu� punto est� de acuerdo con que el Estado peruano, m�s que los individu"
contains unicode and thus may not display well
in Stata 13.
{p_end}
{p 2 8 2}
note: variable label
"�Hasta qu� punto est� de acuerdo con que el Estado peruano, m�s que la empresa p"
contains unicode and thus may not display well
in Stata 13.
{p_end}
{p 2 8 2}
note: variable label
"�Hasta qu� punto est� de acuerdo con que el Estado peruano debe implementar pol�"
contains unicode and thus may not display well
in Stata 13.
{p_end}
{p 2 8 2}
note: variable label
"�Con qu� frecuencia asiste usted a servicios religiosos?"
contains unicode and thus may not display well
in Stata 13.
{p_end}
{p 2 8 2}
note: variable label
"�En los �ltimos 12 meses ha participado en una manifestaci�n o protesta p�blica?"
contains unicode and thus may not display well
in Stata 13.
{p_end}
{p 2 8 2}
note: variable label
"�Cree usted que cuando el pa�s enfrenta momentos muy dif�ciles, se justifica que"
contains unicode and thus may not display well
in Stata 13.
{p_end}
{p 2 8 2}
note: variable label
"�Ha sido usted v�ctima de alg�n acto de delincuencia en los �ltimos 12 meses?. E"
contains unicode and thus may not display well
in Stata 13.
{p_end}
{p 2 8 2}
note: variable label
"El Estado (pa�s), m�s que el sector privado, deber�a ser el principal responsabl"
contains unicode and thus may not display well
in Stata 13.
{p_end}
{p 2 8 2}
note: variable label
"El Estado (pa�s), m�s que el sector privado, deber�a ser el principal responsabl"
contains unicode and thus may not display well
in Stata 13.
{p_end}
{p 2 8 2}
note: variable label
"�Con qu� firmeza aprueba o desaprueba que las parejas del mismo sexo puedan tene"
contains unicode and thus may not display well
in Stata 13.
{p_end}
{p 2 8 2}
note: variable label
"En los �ltimos a�os y pensando en las campa�as electorales, �alg�n candidato o a"
contains unicode and thus may not display well
in Stata 13.
{p_end}
{p 2 8 2}
note: variable label
"Seg�n los datos del Censo de Poblaci�n las personas ind�genas/negras/de color m�"
contains unicode and thus may not display well
in Stata 13.
{p_end}
{p 2 8 2}
note: variable label
"�Ud. cree que las personas ind�genas/negras/de color m�s obscuro son tratadas mu"
contains unicode and thus may not display well
in Stata 13.
{p_end}
{p 2 8 2}
note: variable label
"Pensando en los �ltimos cinco a�os, �alguna vez se ha sentido discriminado o ha "
contains unicode and thus may not display well
in Stata 13.
{p_end}
{p 2 8 2}
note: variable label
"Pensando en los �ltimos cinco a�os, �alguna vez se ha sentido discriminado o ha "
contains unicode and thus may not display well
in Stata 13.
{p_end}
{p 2 8 2}
note: variable label
"Pensando en los �ltimos cinco a�os, �alguna vez se ha sentido discriminado o ha "
contains unicode and thus may not display well
in Stata 13.
{p_end}
{p 2 8 2}
note: variable label
"�Ha usted vivido o presenciado situaciones en las que otra persona ha sido discr"
contains unicode and thus may not display well
in Stata 13.
{p_end}
{p 2 8 2}
note: variable label
"�Ha usted vivido o presenciado situaciones en las que otra persona ha sido discr"
contains unicode and thus may not display well
in Stata 13.
{p_end}
{p 2 8 2}
note: variable label
"�Ha usted vivido o presenciado situaciones en las que otra persona ha sido discr"
contains unicode and thus may not display well
in Stata 13.
{p_end}
{p 2 8 2}
note: variable label
"Si usted es de alguna religi�n, �podr�a decirme cu�l es su religi�n?"
contains unicode and thus may not display well
in Stata 13.
{p_end}
{p 2 8 2}
note: variable label
"Por favor, �podr�a decirme, qu� tan importante es la religi�n en su vida?"
contains unicode and thus may not display well
in Stata 13.
{p_end}
{p 2 8 2}
note: variable label
"�Reuniones de grupos deportivos o recreativos?"
contains unicode and thus may not display well
in Stata 13.
{p_end}
{p 2 8 2}
note: variable label
"Y �en los �ltimos doce meses, ha participado en el bloqueo de alguna calle o esp"
contains unicode and thus may not display well
in Stata 13.
{p_end}
{p 2 8 2}
note: variable label
"�En los �ltimos 12 meses ha firmado alguna petici�n?"
contains unicode and thus may not display well
in Stata 13.
{p_end}
{p 2 8 2}
note: variable label
"En los �ltimos doce meses, usted ley� o comparti� informaci�n pol�tica por algun"
contains unicode and thus may not display well
in Stata 13.
{p_end}
{p 2 8 2}
note: variable label
"Seg�n varios estudios, las personas de piel oscura son m�s pobres que el resto d"
contains unicode and thus may not display well
in Stata 13.
{p_end}
{p 2 8 2}
note: variable label
"Le ofrecieron un beneficio por su voto en la �ltima elecci�n generales"
contains unicode and thus may not display well
in Stata 13.
{p_end}
{p 2 8 2}
note: variable label
"Identificaci�n con partido pol�tico"
contains unicode and thus may not display well
in Stata 13.
{p_end}
{p 2 8 2}
note: variable label
"Número de cuestionario"
contains unicode and thus may not display well
in Stata 13.
{p_end}
{p 2 8 2}
note: variable label
"Cantidad de políticos involucrados en corrupción"
contains unicode and thus may not display well
in Stata 13.
{p_end}
{p 2 8 2}
note: variable label
"Identificación con partido político"
contains unicode and thus may not display well
in Stata 13.
{p_end}
{p 0 4 2}
file {bf}
Merge_2004_2016_reduced_recoded.dta{rm}
saved
{p_end}

{com}. 
. *Now merge country data:
. 
. capture drop _merge
{txt}
{com}. merge m:1 pais year using "countryDataBase.dta"
{res}{txt}{p 0 7 2}
(variable
{bf:year} was {bf:int}, now {bf:double} to accommodate using data's values)
{p_end}

{col 5}Result{col 33}Number of obs
{col 5}{hline 41}
{col 5}Not matched{col 30}{res}              44
{txt}{col 9}from master{col 30}{res}               0{txt}  (_merge==1)
{col 9}from using{col 30}{res}              44{txt}  (_merge==2)

{col 5}Matched{col 30}{res}         199,950{txt}  (_merge==3)
{col 5}{hline 41}

{com}. capture drop _merge
{txt}
{com}. 
. // Merge in BGI data
. merge m:1 pais year using "BGIData.dta"
{res}{txt}{p 0 7 2}
(variable
{bf:pais} was {bf:byte}, now {bf:float} to accommodate using data's values)
{p_end}

{col 5}Result{col 33}Number of obs
{col 5}{hline 41}
{col 5}Not matched{col 30}{res}               0
{txt}{col 5}Matched{col 30}{res}         199,994{txt}  (_merge==3)
{col 5}{hline 41}

{com}. tab _merge

   {txt}Matching result from {c |}
                  merge {c |}      Freq.     Percent        Cum.
{hline 24}{c +}{hline 35}
            Matched (3) {c |}{res}    199,994      100.00      100.00
{txt}{hline 24}{c +}{hline 35}
                  Total {c |}{res}    199,994      100.00
{txt}
{com}. replace bgi_dec_fear=bgi_dec_fear*100
{txt}(187,048 real changes made)

{com}. // This puts bgi on a 0 to 100 scale to make it a little more comparable to other variables in models
. 
. // Merge polity data
. capture drop _merge
{txt}
{com}. merge m:1 pais year using "polity_current.dta"
{res}
{txt}{col 5}Result{col 33}Number of obs
{col 5}{hline 41}
{col 5}Not matched{col 30}{res}             198
{txt}{col 9}from master{col 30}{res}               0{txt}  (_merge==1)
{col 9}from using{col 30}{res}             198{txt}  (_merge==2)

{col 5}Matched{col 30}{res}         199,994{txt}  (_merge==3)
{col 5}{hline 41}

{com}. drop _merge
{txt}
{com}. 
. * merge v-dem
. 
. capture drop _merge
{txt}
{com}. merge m:1 pais year using "V-Dem_small.dta"
{res}
{txt}{col 5}Result{col 33}Number of obs
{col 5}{hline 41}
{col 5}Not matched{col 30}{res}           3,412
{txt}{col 9}from master{col 30}{res}              18{txt}  (_merge==1)
{col 9}from using{col 30}{res}           3,394{txt}  (_merge==2)

{col 5}Matched{col 30}{res}         200,174{txt}  (_merge==3)
{col 5}{hline 41}

{com}. drop if _merge==2
{txt}(3,394 observations deleted)

{com}. drop _merge
{txt}
{com}. 
. capture drop _merge
{txt}
{com}. merge m:1 pais year using "efData.dta"
{res}
{txt}{col 5}Result{col 33}Number of obs
{col 5}{hline 41}
{col 5}Not matched{col 30}{res}           1,062
{txt}{col 9}from master{col 30}{res}              18{txt}  (_merge==1)
{col 9}from using{col 30}{res}           1,044{txt}  (_merge==2)

{col 5}Matched{col 30}{res}         200,174{txt}  (_merge==3)
{col 5}{hline 41}

{com}. tab _merge

   {txt}Matching result from {c |}
                  merge {c |}      Freq.     Percent        Cum.
{hline 24}{c +}{hline 35}
        Master only (1) {c |}{res}         18        0.01        0.01
{txt}         Using only (2) {c |}{res}      1,044        0.52        0.53
{txt}            Matched (3) {c |}{res}    200,174       99.47      100.00
{txt}{hline 24}{c +}{hline 35}
                  Total {c |}{res}    201,236      100.00
{txt}
{com}. drop _merge
{txt}
{com}. move country year
{txt}
{com}. 
. keep if inlist(year, 2004, 2006, 2008, 2010, 2012, 2014, 2016)
{txt}(1,278 observations deleted)

{com}. 
. *****Center BGI for Interactions***********
. 
. sum bgi_dec_fear

{txt}    Variable {c |}        Obs        Mean    Std. dev.       Min        Max
{hline 13}{c +}{hline 57}
bgi_dec_fear {c |}{res}    187,014    5.093437    3.728633   .4531038   14.53754
{txt}
{com}. local mean=r(mean)
{txt}
{com}. gen bgi_dec_fear_cent=bgi_dec_fear-`mean'
{txt}(12,944 missing values generated)

{com}. 
. keep if dempolity>=6 // Democracies only
{txt}(19,602 observations deleted)

{com}. 
. gen v2pepwrsoc_rev=v2pepwrsoc*-1
{txt}
{com}. // This codes so that lack of party is 1, so that higher scores are more exclusion
. label var v2pepwrsoc_rev "Political Exclusion"
{txt}
{com}. 
. // changing variable "black" to include Afro-Descendant more broadly
. recode selfetid 5=4
{txt}(7,460 changes made to {bf:selfetid})

{com}. replace black=1 if mulatto==1
{txt}(7,460 real changes made)

{com}. drop mulatto
{txt}
{com}. label var black "Afro-Descendant"
{txt}
{com}. 
. gen groupCon=.
{txt}(180,356 missing values generated)

{com}. label var groupCon "Indig and Black Group Consciousness"
{txt}
{com}. replace groupCon=0 if rac1ca~=. | rac1c~=.
{txt}(23,056 real changes made)

{com}. replace groupCon=1 if (rac1ca==2 | rac1c==3) & (indig==1 | black==1)
{txt}(2,944 real changes made)

{com}. gen lowGC=groupCon
{txt}(157,300 missing values generated)

{com}. label var lowGC "Indig and Black low Group Conscious"
{txt}
{com}. replace lowGC=1 if groupCon==0 & (indig==1 | black==1)
{txt}(1,654 real changes made)

{com}. 
. // Some labeling issues
. 
. label var bgi_dec_fear_cent "BGI"
{txt}
{com}. label var edr "Education"
{txt}
{com}. label var edad "Age"
{txt}
{com}. 
. keep ing4 demprin_i bgi_dec_fear v2pepwrsoc_rev gini pais year bgi_dec_fear_cent black indig white mestizo otroethn incum_voter cp6r edr quintile female edad urban soct2r weight1500 country_year demyear_trans v2x_libdem fe_etfra lowGC groupCon
{txt}
{com}. 
. saveold "PoPilevelData.dta", replace
{txt}(saving in Stata 13 format)
{p 0 6 2}
(FYI, {bf:saveold} has options
{bf:version(12)} and {bf:version(11)} that
write files in older Stata formats)
{p_end}
{p 2 8 2}
note: variable label
"Pa�s"
contains unicode and thus may not display well
in Stata 13.
{p_end}
{p 2 8 2}
note: variable label
"A�o"
contains unicode and thus may not display well
in Stata 13.
{p_end}
{p 2 8 2}
note: variable label
"Peso para estandarizar el tama�o en cada pa�s"
contains unicode and thus may not display well
in Stata 13.
{p_end}
{p 0 4 2}
file {bf}
PoPilevelData.dta{rm}
saved
{p_end}

{com}. 
. 
. ********************************************************************************************************************************************
. *****General Attitudes Toward Democracy, ing4, 7pt scale agree with statement democracy is best form of government*****
. ********************************************************************************************************************************************
. 
. 
. 
. *****Cross-National Analysis*****
. 
. // Cross National Correlation Between BGI and Support for Democracy
. collapse ing4 bgi_dec_fear v2pepwrsoc_rev, by(pais year)
{res}{txt}
{com}. pwcorr ing4 bgi_dec_fear, sig

             {txt}{c |}     ing4 bgi_de~r
{hline 13}{c +}{hline 18}
        ing4 {c |} {res}  1.0000 
             {txt}{c |}
             {c |}
bgi_dec_fear {c |} {res} -0.3461   1.0000 
             {txt}{c |}{res}   0.0004
             {txt}{c |}

{com}. twoway /// 
>         (scatter ing4 bgi_dec_fear, ///
>                 mcolor(black) graphregion(color(gs15)) ///
>                 legend(off) xtitle("Between Group Inequality") ///
>                 ytitle("Support for Democracy")) ///
>         (lfit ing4 bgi_dec_fear, /// 
>                 lcolor(black) graphregion(color(gs15)))
{res}{txt}
{com}. graph save "bgiDemocracyScatterPoP.gph", replace
{res}{txt}file {bf:bgiDemocracyScatterPoP.gph} saved

{com}. graph export "bgiDemocracyScatterPoP.pdf", as(pdf) replace
{txt}{p 0 4 2}
file {bf}
bgiDemocracyScatterPoP.pdf{rm}
saved as
PDF
format
{p_end}

{com}. graph export "bgiDemocracyScatterPoP.svg", as(svg) replace
{txt}{p 0 4 2}
file {bf}
bgiDemocracyScatterPoP.svg{rm}
saved as
SVG
format
{p_end}

{com}. 
. 
. // Cross National Correlation Between Political Exclusion and Support for Democracy
. pwcorr ing4 v2pepwrsoc_rev, sig

             {txt}{c |}     ing4 v2pepw~v
{hline 13}{c +}{hline 18}
        ing4 {c |} {res}  1.0000 
             {txt}{c |}
             {c |}
v2pepwrsoc~v {c |} {res} -0.6017   1.0000 
             {txt}{c |}{res}   0.0000
             {txt}{c |}

{com}. twoway /// 
>         (scatter ing4 v2pepwrsoc_rev, ///
>                 mcolor(black) graphregion(color(gs15)) ///
>                 legend(off) xtitle("Political Exclusion") ///
>                 ytitle("Support for Democracy")) ///
>         (lfit ing4 v2pepwrsoc_rev, /// 
>                 lcolor(black) graphregion(color(gs15)))
{res}{txt}
{com}. graph save "polExclusionDemocracyScatterPoP.gph", replace
{res}{txt}file {bf:polExclusionDemocracyScatterPoP.gph} saved

{com}. graph export "polExclusionDemocracyScatterPoP.pdf", as(pdf) replace
{txt}{p 0 4 2}
file {bf}
polExclusionDemocracyScatterPoP.pdf{rm}
saved as
PDF
format
{p_end}

{com}. graph export "polExclusionDemocracyScatterPoP.svg", as(svg) replace
{txt}{p 0 4 2}
file {bf}
polExclusionDemocracyScatterPoP.svg{rm}
saved as
SVG
format
{p_end}

{com}. 
. 
. ********************************************************************************************************************************************
. 
. *****I-Level BGI Analysis*****
. 
. use "PoPilevelData.dta", clear
{txt}
{com}. 
. // Calculate ICC
. 
. mixed ing4 [pweight=weight1500] || country_year: , cov(independent)
{txt}{p 0 6}note: single-variable random-{txt}effects specification in {inp:country_year} equation; covariance structure set to {inp:identity}.{p_end}
{res}
{txt}Obtaining starting values by EM ...
{res}
{txt}Performing gradient-based optimization: {res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-289774.93}  
Iteration 1:{space 3}log pseudolikelihood = {res:-289774.93}  
{res}
{txt}Computing standard errors ...
{res}
{txt}Mixed-effects regression{col 49}Number of obs{col 67}={col 69}{res}   165,631
{txt}Group variable: {res}country_year{col 49}{txt}Number of groups{col 67}={col 69}{res}       105
{txt}{col 49}Obs per group:
{col 63}min{col 67}={col 69}{res}     1,092
{txt}{col 63}avg{col 67}={col 69}{res}   1,577.4
{txt}{col 63}max{col 67}={col 69}{res}     2,994
{col 49}{txt}Wald chi2({res}0{txt}){col 67}={col 70}{res}        .
{txt}Log pseudolikelihood = {res}-289774.93{col 49}{txt}Prob > chi2{col 67}={col 73}{res}     .

{txt}{ralign 78:(Std. err. adjusted for {res:105} clusters in {res:country_year})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}        ing4{col 14}{c |} Coefficient{col 26}  std. err.{col 38}      z{col 46}   P>|z|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}_cons {c |}{col 14}{res}{space 2} 5.129009{col 26}{space 2}  .045262{col 37}{space 1}  113.32{col 46}{space 3}0.000{col 54}{space 4} 5.040297{col 67}{space 3} 5.217721
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{txt}{hline 29}{c TT}{hline 48}
{col 30}{c |}{col 34}{col 46}Robust{col 63}
{col 3}Random-effects parameters{col 30}{c |}{col 34}Estimate{col 45}std. err.{col 59}[95% conf. interval]
{hline 29}{c +}{hline 48}
{res}country_year{txt}: Identity{col 30}{c |}
{space 18}var(_cons) {c |}{res}{col 33} .2110674{col 44} .0270822{col 58} .1641356{col 70} .2714186
{txt}{hline 29}{c +}{hline 48}
{col 16}var(Residual){col 30}{c |}{res}{col 33} 2.834235{col 44} .0527475{col 58} 2.732714{col 70} 2.939527
{txt}{hline 29}{c BT}{hline 48}

{p 0 9 2}Warning: Sampling weights were 
specified only at the first level 
in a multilevel model. If these weights are 
indicative of overall and not conditional 
inclusion probabilities, then 
{help mixed##sampling:results may be biased}.
{p_end}

{com}. 
. 
. estat icc // calculates interclass correlation coefficient

{txt}Intraclass correlation

{res}{col 1}{text}{hline 29}{c TT}{hline 12}{hline 12}{hline 12}{hline 12}
{col 1}{text}                       Level{col 30}{c |}        ICC{col 43}  Std. err.{col 55}    [95% conf. interval]
{res}{col 1}{text}{hline 29}{c +}{hline 12}{hline 12}{hline 12}{hline 12}
{col 1}{text}                country_year{col 30}{c |}{result}{space 2} .0693092{col 43}{space 1} .0086156{col 55}{space 3} .0542113{col 67}{space 3} .0882196
{col 1}{text}{hline 29}{c BT}{hline 12}{hline 12}{hline 12}{hline 12}
{res}{txt}
{com}. // Model 1a
. mixed ing4 c.bgi_dec_fear_cent black indig mestizo otroethn incum_voter cp6r edr quintile female edad urban soct2r [pweight=weight1500] || country_year:, cov(independent)
{txt}{p 0 6}note: single-variable random-{txt}effects specification in {inp:country_year} equation; covariance structure set to {inp:identity}.{p_end}
{res}
{txt}Obtaining starting values by EM ...
{res}
{txt}Performing gradient-based optimization: {res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-247343.88}  
Iteration 1:{space 3}log pseudolikelihood = {res:-247343.88}  
{res}
{txt}Computing standard errors ...
{res}
{txt}Mixed-effects regression{col 49}Number of obs{col 67}={col 69}{res}   142,430
{txt}Group variable: {res}country_year{col 49}{txt}Number of groups{col 67}={col 69}{res}        95
{txt}{col 49}Obs per group:
{col 63}min{col 67}={col 69}{res}       996
{txt}{col 63}avg{col 67}={col 69}{res}   1,499.3
{txt}{col 63}max{col 67}={col 69}{res}     2,893
{col 49}{txt}Wald chi2({res}13{txt}){col 67}={col 70}{res}   679.69
{txt}Log pseudolikelihood = {res}-247343.88{col 49}{txt}Prob > chi2{col 67}={col 73}{res}0.0000

{txt}{ralign 83:(Std. err. adjusted for {res:95} clusters in {res:country_year})}
{hline 18}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 19}{c |}{col 31}    Robust
{col 1}             ing4{col 19}{c |} Coefficient{col 31}  std. err.{col 43}      z{col 51}   P>|z|{col 59}     [95% con{col 72}f. interval]
{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
bgi_dec_fear_cent {c |}{col 19}{res}{space 2}  -.04459{col 31}{space 2} .0097088{col 42}{space 1}   -4.59{col 51}{space 3}0.000{col 59}{space 4}-.0636189{col 72}{space 3}-.0255612
{txt}{space 12}black {c |}{col 19}{res}{space 2}-.0214326{col 31}{space 2} .0298656{col 42}{space 1}   -0.72{col 51}{space 3}0.473{col 59}{space 4}-.0799682{col 72}{space 3}  .037103
{txt}{space 12}indig {c |}{col 19}{res}{space 2}-.0452227{col 31}{space 2} .0309084{col 42}{space 1}   -1.46{col 51}{space 3}0.143{col 59}{space 4}-.1058021{col 72}{space 3} .0153567
{txt}{space 10}mestizo {c |}{col 19}{res}{space 2} .0274991{col 31}{space 2} .0180551{col 42}{space 1}    1.52{col 51}{space 3}0.128{col 59}{space 4}-.0078883{col 72}{space 3} .0628865
{txt}{space 9}otroethn {c |}{col 19}{res}{space 2}-.0983761{col 31}{space 2} .0392507{col 42}{space 1}   -2.51{col 51}{space 3}0.012{col 59}{space 4}-.1753061{col 72}{space 3}-.0214461
{txt}{space 6}incum_voter {c |}{col 19}{res}{space 2} .1383414{col 31}{space 2} .0176515{col 42}{space 1}    7.84{col 51}{space 3}0.000{col 59}{space 4} .1037451{col 72}{space 3} .1729376
{txt}{space 13}cp6r {c |}{col 19}{res}{space 2} .0201282{col 31}{space 2} .0079949{col 42}{space 1}    2.52{col 51}{space 3}0.012{col 59}{space 4} .0044585{col 72}{space 3}  .035798
{txt}{space 14}edr {c |}{col 19}{res}{space 2} .1755301{col 31}{space 2} .0126554{col 42}{space 1}   13.87{col 51}{space 3}0.000{col 59}{space 4}  .150726{col 72}{space 3} .2003343
{txt}{space 8}quintiles {c |}{col 19}{res}{space 2}  .042429{col 31}{space 2} .0070604{col 42}{space 1}    6.01{col 51}{space 3}0.000{col 59}{space 4} .0285909{col 72}{space 3}  .056267
{txt}{space 11}female {c |}{col 19}{res}{space 2}-.0555007{col 31}{space 2} .0127007{col 42}{space 1}   -4.37{col 51}{space 3}0.000{col 59}{space 4}-.0803936{col 72}{space 3}-.0306079
{txt}{space 13}edad {c |}{col 19}{res}{space 2}  .100211{col 31}{space 2} .0065302{col 42}{space 1}   15.35{col 51}{space 3}0.000{col 59}{space 4}  .087412{col 72}{space 3}   .11301
{txt}{space 12}urban {c |}{col 19}{res}{space 2}-.0713792{col 31}{space 2} .0199325{col 42}{space 1}   -3.58{col 51}{space 3}0.000{col 59}{space 4}-.1104462{col 72}{space 3}-.0323122
{txt}{space 11}soct2r {c |}{col 19}{res}{space 2} .1521755{col 31}{space 2} .0110799{col 42}{space 1}   13.73{col 51}{space 3}0.000{col 59}{space 4} .1304594{col 72}{space 3} .1738917
{txt}{space 12}_cons {c |}{col 19}{res}{space 2}  4.10685{col 31}{space 2} .0680353{col 42}{space 1}   60.36{col 51}{space 3}0.000{col 59}{space 4} 3.973504{col 72}{space 3} 4.240197
{txt}{hline 18}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{txt}{hline 29}{c TT}{hline 48}
{col 30}{c |}{col 34}{col 46}Robust{col 63}
{col 3}Random-effects parameters{col 30}{c |}{col 34}Estimate{col 45}std. err.{col 59}[95% conf. interval]
{hline 29}{c +}{hline 48}
{res}country_year{txt}: Identity{col 30}{c |}
{space 18}var(_cons) {c |}{res}{col 33} .1738332{col 44} .0227936{col 58} .1344375{col 70} .2247735
{txt}{hline 29}{c +}{hline 48}
{col 16}var(Residual){col 30}{c |}{res}{col 33} 2.746055{col 44}  .054352{col 58} 2.641567{col 70} 2.854676
{txt}{hline 29}{c BT}{hline 48}

{p 0 9 2}Warning: Sampling weights were 
specified only at the first level 
in a multilevel model. If these weights are 
indicative of overall and not conditional 
inclusion probabilities, then 
{help mixed##sampling:results may be biased}.
{p_end}

{com}. estimates store demBestBgiMainModel
{txt}
{com}. sum bgi_dec_fear_cent

{txt}    Variable {c |}        Obs        Mean    Std. dev.       Min        Max
{hline 13}{c +}{hline 57}
bgi_dec_fe~t {c |}{res}    167,412   -.1146577    3.730021  -4.640333   9.444098
{txt}
{com}. local minbgi=round(r(min),.1)
{txt}
{com}. local maxbgi=round(r(max),.1)
{txt}
{com}. 
. // Chart those effects, predicted values:
. 
. estimates restore demBestBgiMainModel
{txt}(results {stata estimates replay demBestBgiMainModel:demBestBgiMainModel} are active now)

{com}. margins, atmeans at(bgi_dec_fear_cent=(`minbgi'(.1)`maxbgi')) post
{res}
{txt}{col 1}Adjusted predictions{col 56}{lalign 13:Number of obs}{col 69} = {res}{ralign 7:142,430}
{txt}{col 1}Model VCE: {res:Robust}

{txt}{p2colset 1 13 13 2}{...}
{p2col:Expression:}{res:Linear prediction, fixed portion, predict()}{p_end}
{p2colreset}{...}
{lalign 9:1._at: }{space 0}{lalign 16:bgi_dec_fear_c~t} = {res:{ralign 8:-4.6}}
{lalign 9:}{space 0}{lalign 16:black} = {res:{ralign 8:.0932962}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:indig} = {res:{ralign 8:.069394}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:mestizo} = {res:{ralign 8:.4893953}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:otroethn} = {res:{ralign 8:.022359}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:incum_voter} = {res:{ralign 8:.352078}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:cp6r} = {res:{ralign 8:1.348199}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edr} = {res:{ralign 8:1.851523}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:quintiles} = {res:{ralign 8:3.008055}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:female} = {res:{ralign 8:.498115}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edad} = {res:{ralign 8:2.852107}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:urban} = {res:{ralign 8:.714368}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:soct2r} = {res:{ralign 8:1.727717}} {txt:(mean)}
{lalign 9:2._at: }{space 0}{lalign 16:bgi_dec_fear_c~t} = {res:{ralign 8:-4.5}}
{lalign 9:}{space 0}{lalign 16:black} = {res:{ralign 8:.0932962}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:indig} = {res:{ralign 8:.069394}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:mestizo} = {res:{ralign 8:.4893953}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:otroethn} = {res:{ralign 8:.022359}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:incum_voter} = {res:{ralign 8:.352078}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:cp6r} = {res:{ralign 8:1.348199}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edr} = {res:{ralign 8:1.851523}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:quintiles} = {res:{ralign 8:3.008055}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:female} = {res:{ralign 8:.498115}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edad} = {res:{ralign 8:2.852107}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:urban} = {res:{ralign 8:.714368}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:soct2r} = {res:{ralign 8:1.727717}} {txt:(mean)}
{lalign 9:3._at: }{space 0}{lalign 16:bgi_dec_fear_c~t} = {res:{ralign 8:-4.4}}
{lalign 9:}{space 0}{lalign 16:black} = {res:{ralign 8:.0932962}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:indig} = {res:{ralign 8:.069394}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:mestizo} = {res:{ralign 8:.4893953}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:otroethn} = {res:{ralign 8:.022359}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:incum_voter} = {res:{ralign 8:.352078}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:cp6r} = {res:{ralign 8:1.348199}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edr} = {res:{ralign 8:1.851523}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:quintiles} = {res:{ralign 8:3.008055}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:female} = {res:{ralign 8:.498115}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edad} = {res:{ralign 8:2.852107}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:urban} = {res:{ralign 8:.714368}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:soct2r} = {res:{ralign 8:1.727717}} {txt:(mean)}
{lalign 9:4._at: }{space 0}{lalign 16:bgi_dec_fear_c~t} = {res:{ralign 8:-4.3}}
{lalign 9:}{space 0}{lalign 16:black} = {res:{ralign 8:.0932962}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:indig} = {res:{ralign 8:.069394}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:mestizo} = {res:{ralign 8:.4893953}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:otroethn} = {res:{ralign 8:.022359}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:incum_voter} = {res:{ralign 8:.352078}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:cp6r} = {res:{ralign 8:1.348199}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edr} = {res:{ralign 8:1.851523}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:quintiles} = {res:{ralign 8:3.008055}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:female} = {res:{ralign 8:.498115}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edad} = {res:{ralign 8:2.852107}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:urban} = {res:{ralign 8:.714368}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:soct2r} = {res:{ralign 8:1.727717}} {txt:(mean)}
{lalign 9:5._at: }{space 0}{lalign 16:bgi_dec_fear_c~t} = {res:{ralign 8:-4.2}}
{lalign 9:}{space 0}{lalign 16:black} = {res:{ralign 8:.0932962}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:indig} = {res:{ralign 8:.069394}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:mestizo} = {res:{ralign 8:.4893953}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:otroethn} = {res:{ralign 8:.022359}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:incum_voter} = {res:{ralign 8:.352078}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:cp6r} = {res:{ralign 8:1.348199}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edr} = {res:{ralign 8:1.851523}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:quintiles} = {res:{ralign 8:3.008055}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:female} = {res:{ralign 8:.498115}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edad} = {res:{ralign 8:2.852107}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:urban} = {res:{ralign 8:.714368}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:soct2r} = {res:{ralign 8:1.727717}} {txt:(mean)}
{lalign 9:6._at: }{space 0}{lalign 16:bgi_dec_fear_c~t} = {res:{ralign 8:-4.1}}
{lalign 9:}{space 0}{lalign 16:black} = {res:{ralign 8:.0932962}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:indig} = {res:{ralign 8:.069394}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:mestizo} = {res:{ralign 8:.4893953}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:otroethn} = {res:{ralign 8:.022359}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:incum_voter} = {res:{ralign 8:.352078}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:cp6r} = {res:{ralign 8:1.348199}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edr} = {res:{ralign 8:1.851523}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:quintiles} = {res:{ralign 8:3.008055}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:female} = {res:{ralign 8:.498115}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edad} = {res:{ralign 8:2.852107}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:urban} = {res:{ralign 8:.714368}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:soct2r} = {res:{ralign 8:1.727717}} {txt:(mean)}
{lalign 9:7._at: }{space 0}{lalign 16:bgi_dec_fear_c~t} = {res:{ralign 8:-4}}
{lalign 9:}{space 0}{lalign 16:black} = {res:{ralign 8:.0932962}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:indig} = {res:{ralign 8:.069394}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:mestizo} = {res:{ralign 8:.4893953}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:otroethn} = {res:{ralign 8:.022359}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:incum_voter} = {res:{ralign 8:.352078}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:cp6r} = {res:{ralign 8:1.348199}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edr} = {res:{ralign 8:1.851523}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:quintiles} = {res:{ralign 8:3.008055}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:female} = {res:{ralign 8:.498115}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edad} = {res:{ralign 8:2.852107}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:urban} = {res:{ralign 8:.714368}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:soct2r} = {res:{ralign 8:1.727717}} {txt:(mean)}
{lalign 9:8._at: }{space 0}{lalign 16:bgi_dec_fear_c~t} = {res:{ralign 8:-3.9}}
{lalign 9:}{space 0}{lalign 16:black} = {res:{ralign 8:.0932962}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:indig} = {res:{ralign 8:.069394}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:mestizo} = {res:{ralign 8:.4893953}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:otroethn} = {res:{ralign 8:.022359}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:incum_voter} = {res:{ralign 8:.352078}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:cp6r} = {res:{ralign 8:1.348199}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edr} = {res:{ralign 8:1.851523}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:quintiles} = {res:{ralign 8:3.008055}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:female} = {res:{ralign 8:.498115}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edad} = {res:{ralign 8:2.852107}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:urban} = {res:{ralign 8:.714368}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:soct2r} = {res:{ralign 8:1.727717}} {txt:(mean)}
{lalign 9:9._at: }{space 0}{lalign 16:bgi_dec_fear_c~t} = {res:{ralign 8:-3.8}}
{lalign 9:}{space 0}{lalign 16:black} = {res:{ralign 8:.0932962}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:indig} = {res:{ralign 8:.069394}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:mestizo} = {res:{ralign 8:.4893953}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:otroethn} = {res:{ralign 8:.022359}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:incum_voter} = {res:{ralign 8:.352078}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:cp6r} = {res:{ralign 8:1.348199}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edr} = {res:{ralign 8:1.851523}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:quintiles} = {res:{ralign 8:3.008055}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:female} = {res:{ralign 8:.498115}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edad} = {res:{ralign 8:2.852107}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:urban} = {res:{ralign 8:.714368}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:soct2r} = {res:{ralign 8:1.727717}} {txt:(mean)}
{lalign 9:10._at: }{space 0}{lalign 16:bgi_dec_fear_c~t} = {res:{ralign 8:-3.7}}
{lalign 9:}{space 0}{lalign 16:black} = {res:{ralign 8:.0932962}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:indig} = {res:{ralign 8:.069394}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:mestizo} = {res:{ralign 8:.4893953}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:otroethn} = {res:{ralign 8:.022359}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:incum_voter} = {res:{ralign 8:.352078}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:cp6r} = {res:{ralign 8:1.348199}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edr} = {res:{ralign 8:1.851523}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:quintiles} = {res:{ralign 8:3.008055}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:female} = {res:{ralign 8:.498115}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edad} = {res:{ralign 8:2.852107}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:urban} = {res:{ralign 8:.714368}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:soct2r} = {res:{ralign 8:1.727717}} {txt:(mean)}
{lalign 9:11._at: }{space 0}{lalign 16:bgi_dec_fear_c~t} = {res:{ralign 8:-3.6}}
{lalign 9:}{space 0}{lalign 16:black} = {res:{ralign 8:.0932962}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:indig} = {res:{ralign 8:.069394}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:mestizo} = {res:{ralign 8:.4893953}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:otroethn} = {res:{ralign 8:.022359}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:incum_voter} = {res:{ralign 8:.352078}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:cp6r} = {res:{ralign 8:1.348199}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edr} = {res:{ralign 8:1.851523}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:quintiles} = {res:{ralign 8:3.008055}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:female} = {res:{ralign 8:.498115}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edad} = {res:{ralign 8:2.852107}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:urban} = {res:{ralign 8:.714368}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:soct2r} = {res:{ralign 8:1.727717}} {txt:(mean)}
{lalign 9:12._at: }{space 0}{lalign 16:bgi_dec_fear_c~t} = {res:{ralign 8:-3.5}}
{lalign 9:}{space 0}{lalign 16:black} = {res:{ralign 8:.0932962}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:indig} = {res:{ralign 8:.069394}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:mestizo} = {res:{ralign 8:.4893953}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:otroethn} = {res:{ralign 8:.022359}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:incum_voter} = {res:{ralign 8:.352078}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:cp6r} = {res:{ralign 8:1.348199}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edr} = {res:{ralign 8:1.851523}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:quintiles} = {res:{ralign 8:3.008055}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:female} = {res:{ralign 8:.498115}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edad} = {res:{ralign 8:2.852107}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:urban} = {res:{ralign 8:.714368}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:soct2r} = {res:{ralign 8:1.727717}} {txt:(mean)}
{lalign 9:13._at: }{space 0}{lalign 16:bgi_dec_fear_c~t} = {res:{ralign 8:-3.4}}
{lalign 9:}{space 0}{lalign 16:black} = {res:{ralign 8:.0932962}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:indig} = {res:{ralign 8:.069394}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:mestizo} = {res:{ralign 8:.4893953}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:otroethn} = {res:{ralign 8:.022359}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:incum_voter} = {res:{ralign 8:.352078}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:cp6r} = {res:{ralign 8:1.348199}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edr} = {res:{ralign 8:1.851523}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:quintiles} = {res:{ralign 8:3.008055}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:female} = {res:{ralign 8:.498115}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edad} = {res:{ralign 8:2.852107}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:urban} = {res:{ralign 8:.714368}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:soct2r} = {res:{ralign 8:1.727717}} {txt:(mean)}
{lalign 9:14._at: }{space 0}{lalign 16:bgi_dec_fear_c~t} = {res:{ralign 8:-3.3}}
{lalign 9:}{space 0}{lalign 16:black} = {res:{ralign 8:.0932962}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:indig} = {res:{ralign 8:.069394}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:mestizo} = {res:{ralign 8:.4893953}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:otroethn} = {res:{ralign 8:.022359}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:incum_voter} = {res:{ralign 8:.352078}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:cp6r} = {res:{ralign 8:1.348199}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edr} = {res:{ralign 8:1.851523}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:quintiles} = {res:{ralign 8:3.008055}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:female} = {res:{ralign 8:.498115}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edad} = {res:{ralign 8:2.852107}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:urban} = {res:{ralign 8:.714368}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:soct2r} = {res:{ralign 8:1.727717}} {txt:(mean)}
{lalign 9:15._at: }{space 0}{lalign 16:bgi_dec_fear_c~t} = {res:{ralign 8:-3.2}}
{lalign 9:}{space 0}{lalign 16:black} = {res:{ralign 8:.0932962}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:indig} = {res:{ralign 8:.069394}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:mestizo} = {res:{ralign 8:.4893953}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:otroethn} = {res:{ralign 8:.022359}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:incum_voter} = {res:{ralign 8:.352078}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:cp6r} = {res:{ralign 8:1.348199}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edr} = {res:{ralign 8:1.851523}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:quintiles} = {res:{ralign 8:3.008055}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:female} = {res:{ralign 8:.498115}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edad} = {res:{ralign 8:2.852107}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:urban} = {res:{ralign 8:.714368}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:soct2r} = {res:{ralign 8:1.727717}} {txt:(mean)}
{lalign 9:16._at: }{space 0}{lalign 16:bgi_dec_fear_c~t} = {res:{ralign 8:-3.1}}
{lalign 9:}{space 0}{lalign 16:black} = {res:{ralign 8:.0932962}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:indig} = {res:{ralign 8:.069394}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:mestizo} = {res:{ralign 8:.4893953}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:otroethn} = {res:{ralign 8:.022359}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:incum_voter} = {res:{ralign 8:.352078}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:cp6r} = {res:{ralign 8:1.348199}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edr} = {res:{ralign 8:1.851523}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:quintiles} = {res:{ralign 8:3.008055}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:female} = {res:{ralign 8:.498115}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edad} = {res:{ralign 8:2.852107}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:urban} = {res:{ralign 8:.714368}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:soct2r} = {res:{ralign 8:1.727717}} {txt:(mean)}
{lalign 9:17._at: }{space 0}{lalign 16:bgi_dec_fear_c~t} = {res:{ralign 8:-3}}
{lalign 9:}{space 0}{lalign 16:black} = {res:{ralign 8:.0932962}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:indig} = {res:{ralign 8:.069394}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:mestizo} = {res:{ralign 8:.4893953}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:otroethn} = {res:{ralign 8:.022359}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:incum_voter} = {res:{ralign 8:.352078}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:cp6r} = {res:{ralign 8:1.348199}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edr} = {res:{ralign 8:1.851523}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:quintiles} = {res:{ralign 8:3.008055}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:female} = {res:{ralign 8:.498115}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edad} = {res:{ralign 8:2.852107}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:urban} = {res:{ralign 8:.714368}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:soct2r} = {res:{ralign 8:1.727717}} {txt:(mean)}
{lalign 9:18._at: }{space 0}{lalign 16:bgi_dec_fear_c~t} = {res:{ralign 8:-2.9}}
{lalign 9:}{space 0}{lalign 16:black} = {res:{ralign 8:.0932962}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:indig} = {res:{ralign 8:.069394}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:mestizo} = {res:{ralign 8:.4893953}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:otroethn} = {res:{ralign 8:.022359}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:incum_voter} = {res:{ralign 8:.352078}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:cp6r} = {res:{ralign 8:1.348199}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edr} = {res:{ralign 8:1.851523}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:quintiles} = {res:{ralign 8:3.008055}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:female} = {res:{ralign 8:.498115}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edad} = {res:{ralign 8:2.852107}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:urban} = {res:{ralign 8:.714368}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:soct2r} = {res:{ralign 8:1.727717}} {txt:(mean)}
{lalign 9:19._at: }{space 0}{lalign 16:bgi_dec_fear_c~t} = {res:{ralign 8:-2.8}}
{lalign 9:}{space 0}{lalign 16:black} = {res:{ralign 8:.0932962}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:indig} = {res:{ralign 8:.069394}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:mestizo} = {res:{ralign 8:.4893953}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:otroethn} = {res:{ralign 8:.022359}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:incum_voter} = {res:{ralign 8:.352078}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:cp6r} = {res:{ralign 8:1.348199}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edr} = {res:{ralign 8:1.851523}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:quintiles} = {res:{ralign 8:3.008055}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:female} = {res:{ralign 8:.498115}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edad} = {res:{ralign 8:2.852107}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:urban} = {res:{ralign 8:.714368}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:soct2r} = {res:{ralign 8:1.727717}} {txt:(mean)}
{lalign 9:20._at: }{space 0}{lalign 16:bgi_dec_fear_c~t} = {res:{ralign 8:-2.7}}
{lalign 9:}{space 0}{lalign 16:black} = {res:{ralign 8:.0932962}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:indig} = {res:{ralign 8:.069394}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:mestizo} = {res:{ralign 8:.4893953}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:otroethn} = {res:{ralign 8:.022359}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:incum_voter} = {res:{ralign 8:.352078}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:cp6r} = {res:{ralign 8:1.348199}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edr} = {res:{ralign 8:1.851523}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:quintiles} = {res:{ralign 8:3.008055}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:female} = {res:{ralign 8:.498115}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edad} = {res:{ralign 8:2.852107}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:urban} = {res:{ralign 8:.714368}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:soct2r} = {res:{ralign 8:1.727717}} {txt:(mean)}
{lalign 9:21._at: }{space 0}{lalign 16:bgi_dec_fear_c~t} = {res:{ralign 8:-2.6}}
{lalign 9:}{space 0}{lalign 16:black} = {res:{ralign 8:.0932962}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:indig} = {res:{ralign 8:.069394}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:mestizo} = {res:{ralign 8:.4893953}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:otroethn} = {res:{ralign 8:.022359}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:incum_voter} = {res:{ralign 8:.352078}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:cp6r} = {res:{ralign 8:1.348199}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edr} = {res:{ralign 8:1.851523}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:quintiles} = {res:{ralign 8:3.008055}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:female} = {res:{ralign 8:.498115}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edad} = {res:{ralign 8:2.852107}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:urban} = {res:{ralign 8:.714368}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:soct2r} = {res:{ralign 8:1.727717}} {txt:(mean)}
{lalign 9:22._at: }{space 0}{lalign 16:bgi_dec_fear_c~t} = {res:{ralign 8:-2.5}}
{lalign 9:}{space 0}{lalign 16:black} = {res:{ralign 8:.0932962}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:indig} = {res:{ralign 8:.069394}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:mestizo} = {res:{ralign 8:.4893953}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:otroethn} = {res:{ralign 8:.022359}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:incum_voter} = {res:{ralign 8:.352078}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:cp6r} = {res:{ralign 8:1.348199}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edr} = {res:{ralign 8:1.851523}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:quintiles} = {res:{ralign 8:3.008055}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:female} = {res:{ralign 8:.498115}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edad} = {res:{ralign 8:2.852107}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:urban} = {res:{ralign 8:.714368}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:soct2r} = {res:{ralign 8:1.727717}} {txt:(mean)}
{lalign 9:23._at: }{space 0}{lalign 16:bgi_dec_fear_c~t} = {res:{ralign 8:-2.4}}
{lalign 9:}{space 0}{lalign 16:black} = {res:{ralign 8:.0932962}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:indig} = {res:{ralign 8:.069394}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:mestizo} = {res:{ralign 8:.4893953}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:otroethn} = {res:{ralign 8:.022359}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:incum_voter} = {res:{ralign 8:.352078}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:cp6r} = {res:{ralign 8:1.348199}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edr} = {res:{ralign 8:1.851523}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:quintiles} = {res:{ralign 8:3.008055}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:female} = {res:{ralign 8:.498115}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edad} = {res:{ralign 8:2.852107}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:urban} = {res:{ralign 8:.714368}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:soct2r} = {res:{ralign 8:1.727717}} {txt:(mean)}
{lalign 9:24._at: }{space 0}{lalign 16:bgi_dec_fear_c~t} = {res:{ralign 8:-2.3}}
{lalign 9:}{space 0}{lalign 16:black} = {res:{ralign 8:.0932962}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:indig} = {res:{ralign 8:.069394}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:mestizo} = {res:{ralign 8:.4893953}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:otroethn} = {res:{ralign 8:.022359}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:incum_voter} = {res:{ralign 8:.352078}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:cp6r} = {res:{ralign 8:1.348199}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edr} = {res:{ralign 8:1.851523}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:quintiles} = {res:{ralign 8:3.008055}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:female} = {res:{ralign 8:.498115}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edad} = {res:{ralign 8:2.852107}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:urban} = {res:{ralign 8:.714368}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:soct2r} = {res:{ralign 8:1.727717}} {txt:(mean)}
{lalign 9:25._at: }{space 0}{lalign 16:bgi_dec_fear_c~t} = {res:{ralign 8:-2.2}}
{lalign 9:}{space 0}{lalign 16:black} = {res:{ralign 8:.0932962}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:indig} = {res:{ralign 8:.069394}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:mestizo} = {res:{ralign 8:.4893953}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:otroethn} = {res:{ralign 8:.022359}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:incum_voter} = {res:{ralign 8:.352078}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:cp6r} = {res:{ralign 8:1.348199}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edr} = {res:{ralign 8:1.851523}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:quintiles} = {res:{ralign 8:3.008055}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:female} = {res:{ralign 8:.498115}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edad} = {res:{ralign 8:2.852107}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:urban} = {res:{ralign 8:.714368}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:soct2r} = {res:{ralign 8:1.727717}} {txt:(mean)}
{lalign 9:26._at: }{space 0}{lalign 16:bgi_dec_fear_c~t} = {res:{ralign 8:-2.1}}
{lalign 9:}{space 0}{lalign 16:black} = {res:{ralign 8:.0932962}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:indig} = {res:{ralign 8:.069394}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:mestizo} = {res:{ralign 8:.4893953}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:otroethn} = {res:{ralign 8:.022359}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:incum_voter} = {res:{ralign 8:.352078}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:cp6r} = {res:{ralign 8:1.348199}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edr} = {res:{ralign 8:1.851523}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:quintiles} = {res:{ralign 8:3.008055}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:female} = {res:{ralign 8:.498115}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edad} = {res:{ralign 8:2.852107}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:urban} = {res:{ralign 8:.714368}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:soct2r} = {res:{ralign 8:1.727717}} {txt:(mean)}
{lalign 9:27._at: }{space 0}{lalign 16:bgi_dec_fear_c~t} = {res:{ralign 8:-2}}
{lalign 9:}{space 0}{lalign 16:black} = {res:{ralign 8:.0932962}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:indig} = {res:{ralign 8:.069394}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:mestizo} = {res:{ralign 8:.4893953}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:otroethn} = {res:{ralign 8:.022359}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:incum_voter} = {res:{ralign 8:.352078}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:cp6r} = {res:{ralign 8:1.348199}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edr} = {res:{ralign 8:1.851523}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:quintiles} = {res:{ralign 8:3.008055}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:female} = {res:{ralign 8:.498115}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edad} = {res:{ralign 8:2.852107}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:urban} = {res:{ralign 8:.714368}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:soct2r} = {res:{ralign 8:1.727717}} {txt:(mean)}
{lalign 9:28._at: }{space 0}{lalign 16:bgi_dec_fear_c~t} = {res:{ralign 8:-1.9}}
{lalign 9:}{space 0}{lalign 16:black} = {res:{ralign 8:.0932962}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:indig} = {res:{ralign 8:.069394}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:mestizo} = {res:{ralign 8:.4893953}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:otroethn} = {res:{ralign 8:.022359}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:incum_voter} = {res:{ralign 8:.352078}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:cp6r} = {res:{ralign 8:1.348199}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edr} = {res:{ralign 8:1.851523}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:quintiles} = {res:{ralign 8:3.008055}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:female} = {res:{ralign 8:.498115}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edad} = {res:{ralign 8:2.852107}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:urban} = {res:{ralign 8:.714368}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:soct2r} = {res:{ralign 8:1.727717}} {txt:(mean)}
{lalign 9:29._at: }{space 0}{lalign 16:bgi_dec_fear_c~t} = {res:{ralign 8:-1.8}}
{lalign 9:}{space 0}{lalign 16:black} = {res:{ralign 8:.0932962}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:indig} = {res:{ralign 8:.069394}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:mestizo} = {res:{ralign 8:.4893953}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:otroethn} = {res:{ralign 8:.022359}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:incum_voter} = {res:{ralign 8:.352078}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:cp6r} = {res:{ralign 8:1.348199}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edr} = {res:{ralign 8:1.851523}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:quintiles} = {res:{ralign 8:3.008055}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:female} = {res:{ralign 8:.498115}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edad} = {res:{ralign 8:2.852107}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:urban} = {res:{ralign 8:.714368}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:soct2r} = {res:{ralign 8:1.727717}} {txt:(mean)}
{lalign 9:30._at: }{space 0}{lalign 16:bgi_dec_fear_c~t} = {res:{ralign 8:-1.7}}
{lalign 9:}{space 0}{lalign 16:black} = {res:{ralign 8:.0932962}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:indig} = {res:{ralign 8:.069394}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:mestizo} = {res:{ralign 8:.4893953}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:otroethn} = {res:{ralign 8:.022359}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:incum_voter} = {res:{ralign 8:.352078}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:cp6r} = {res:{ralign 8:1.348199}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edr} = {res:{ralign 8:1.851523}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:quintiles} = {res:{ralign 8:3.008055}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:female} = {res:{ralign 8:.498115}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edad} = {res:{ralign 8:2.852107}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:urban} = {res:{ralign 8:.714368}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:soct2r} = {res:{ralign 8:1.727717}} {txt:(mean)}
{lalign 9:31._at: }{space 0}{lalign 16:bgi_dec_fear_c~t} = {res:{ralign 8:-1.6}}
{lalign 9:}{space 0}{lalign 16:black} = {res:{ralign 8:.0932962}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:indig} = {res:{ralign 8:.069394}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:mestizo} = {res:{ralign 8:.4893953}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:otroethn} = {res:{ralign 8:.022359}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:incum_voter} = {res:{ralign 8:.352078}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:cp6r} = {res:{ralign 8:1.348199}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edr} = {res:{ralign 8:1.851523}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:quintiles} = {res:{ralign 8:3.008055}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:female} = {res:{ralign 8:.498115}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edad} = {res:{ralign 8:2.852107}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:urban} = {res:{ralign 8:.714368}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:soct2r} = {res:{ralign 8:1.727717}} {txt:(mean)}
{lalign 9:32._at: }{space 0}{lalign 16:bgi_dec_fear_c~t} = {res:{ralign 8:-1.5}}
{lalign 9:}{space 0}{lalign 16:black} = {res:{ralign 8:.0932962}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:indig} = {res:{ralign 8:.069394}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:mestizo} = {res:{ralign 8:.4893953}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:otroethn} = {res:{ralign 8:.022359}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:incum_voter} = {res:{ralign 8:.352078}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:cp6r} = {res:{ralign 8:1.348199}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edr} = {res:{ralign 8:1.851523}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:quintiles} = {res:{ralign 8:3.008055}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:female} = {res:{ralign 8:.498115}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edad} = {res:{ralign 8:2.852107}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:urban} = {res:{ralign 8:.714368}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:soct2r} = {res:{ralign 8:1.727717}} {txt:(mean)}
{lalign 9:33._at: }{space 0}{lalign 16:bgi_dec_fear_c~t} = {res:{ralign 8:-1.4}}
{lalign 9:}{space 0}{lalign 16:black} = {res:{ralign 8:.0932962}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:indig} = {res:{ralign 8:.069394}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:mestizo} = {res:{ralign 8:.4893953}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:otroethn} = {res:{ralign 8:.022359}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:incum_voter} = {res:{ralign 8:.352078}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:cp6r} = {res:{ralign 8:1.348199}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edr} = {res:{ralign 8:1.851523}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:quintiles} = {res:{ralign 8:3.008055}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:female} = {res:{ralign 8:.498115}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edad} = {res:{ralign 8:2.852107}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:urban} = {res:{ralign 8:.714368}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:soct2r} = {res:{ralign 8:1.727717}} {txt:(mean)}
{lalign 9:34._at: }{space 0}{lalign 16:bgi_dec_fear_c~t} = {res:{ralign 8:-1.3}}
{lalign 9:}{space 0}{lalign 16:black} = {res:{ralign 8:.0932962}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:indig} = {res:{ralign 8:.069394}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:mestizo} = {res:{ralign 8:.4893953}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:otroethn} = {res:{ralign 8:.022359}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:incum_voter} = {res:{ralign 8:.352078}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:cp6r} = {res:{ralign 8:1.348199}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edr} = {res:{ralign 8:1.851523}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:quintiles} = {res:{ralign 8:3.008055}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:female} = {res:{ralign 8:.498115}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edad} = {res:{ralign 8:2.852107}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:urban} = {res:{ralign 8:.714368}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:soct2r} = {res:{ralign 8:1.727717}} {txt:(mean)}
{lalign 9:35._at: }{space 0}{lalign 16:bgi_dec_fear_c~t} = {res:{ralign 8:-1.2}}
{lalign 9:}{space 0}{lalign 16:black} = {res:{ralign 8:.0932962}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:indig} = {res:{ralign 8:.069394}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:mestizo} = {res:{ralign 8:.4893953}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:otroethn} = {res:{ralign 8:.022359}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:incum_voter} = {res:{ralign 8:.352078}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:cp6r} = {res:{ralign 8:1.348199}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edr} = {res:{ralign 8:1.851523}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:quintiles} = {res:{ralign 8:3.008055}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:female} = {res:{ralign 8:.498115}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edad} = {res:{ralign 8:2.852107}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:urban} = {res:{ralign 8:.714368}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:soct2r} = {res:{ralign 8:1.727717}} {txt:(mean)}
{lalign 9:36._at: }{space 0}{lalign 16:bgi_dec_fear_c~t} = {res:{ralign 8:-1.1}}
{lalign 9:}{space 0}{lalign 16:black} = {res:{ralign 8:.0932962}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:indig} = {res:{ralign 8:.069394}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:mestizo} = {res:{ralign 8:.4893953}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:otroethn} = {res:{ralign 8:.022359}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:incum_voter} = {res:{ralign 8:.352078}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:cp6r} = {res:{ralign 8:1.348199}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edr} = {res:{ralign 8:1.851523}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:quintiles} = {res:{ralign 8:3.008055}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:female} = {res:{ralign 8:.498115}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edad} = {res:{ralign 8:2.852107}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:urban} = {res:{ralign 8:.714368}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:soct2r} = {res:{ralign 8:1.727717}} {txt:(mean)}
{lalign 9:37._at: }{space 0}{lalign 16:bgi_dec_fear_c~t} = {res:{ralign 8:-1}}
{lalign 9:}{space 0}{lalign 16:black} = {res:{ralign 8:.0932962}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:indig} = {res:{ralign 8:.069394}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:mestizo} = {res:{ralign 8:.4893953}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:otroethn} = {res:{ralign 8:.022359}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:incum_voter} = {res:{ralign 8:.352078}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:cp6r} = {res:{ralign 8:1.348199}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edr} = {res:{ralign 8:1.851523}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:quintiles} = {res:{ralign 8:3.008055}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:female} = {res:{ralign 8:.498115}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edad} = {res:{ralign 8:2.852107}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:urban} = {res:{ralign 8:.714368}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:soct2r} = {res:{ralign 8:1.727717}} {txt:(mean)}
{lalign 9:38._at: }{space 0}{lalign 16:bgi_dec_fear_c~t} = {res:{ralign 8:-.9}}
{lalign 9:}{space 0}{lalign 16:black} = {res:{ralign 8:.0932962}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:indig} = {res:{ralign 8:.069394}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:mestizo} = {res:{ralign 8:.4893953}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:otroethn} = {res:{ralign 8:.022359}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:incum_voter} = {res:{ralign 8:.352078}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:cp6r} = {res:{ralign 8:1.348199}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edr} = {res:{ralign 8:1.851523}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:quintiles} = {res:{ralign 8:3.008055}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:female} = {res:{ralign 8:.498115}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edad} = {res:{ralign 8:2.852107}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:urban} = {res:{ralign 8:.714368}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:soct2r} = {res:{ralign 8:1.727717}} {txt:(mean)}
{lalign 9:39._at: }{space 0}{lalign 16:bgi_dec_fear_c~t} = {res:{ralign 8:-.8}}
{lalign 9:}{space 0}{lalign 16:black} = {res:{ralign 8:.0932962}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:indig} = {res:{ralign 8:.069394}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:mestizo} = {res:{ralign 8:.4893953}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:otroethn} = {res:{ralign 8:.022359}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:incum_voter} = {res:{ralign 8:.352078}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:cp6r} = {res:{ralign 8:1.348199}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edr} = {res:{ralign 8:1.851523}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:quintiles} = {res:{ralign 8:3.008055}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:female} = {res:{ralign 8:.498115}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edad} = {res:{ralign 8:2.852107}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:urban} = {res:{ralign 8:.714368}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:soct2r} = {res:{ralign 8:1.727717}} {txt:(mean)}
{lalign 9:40._at: }{space 0}{lalign 16:bgi_dec_fear_c~t} = {res:{ralign 8:-.7}}
{lalign 9:}{space 0}{lalign 16:black} = {res:{ralign 8:.0932962}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:indig} = {res:{ralign 8:.069394}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:mestizo} = {res:{ralign 8:.4893953}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:otroethn} = {res:{ralign 8:.022359}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:incum_voter} = {res:{ralign 8:.352078}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:cp6r} = {res:{ralign 8:1.348199}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edr} = {res:{ralign 8:1.851523}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:quintiles} = {res:{ralign 8:3.008055}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:female} = {res:{ralign 8:.498115}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edad} = {res:{ralign 8:2.852107}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:urban} = {res:{ralign 8:.714368}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:soct2r} = {res:{ralign 8:1.727717}} {txt:(mean)}
{lalign 9:41._at: }{space 0}{lalign 16:bgi_dec_fear_c~t} = {res:{ralign 8:-.6}}
{lalign 9:}{space 0}{lalign 16:black} = {res:{ralign 8:.0932962}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:indig} = {res:{ralign 8:.069394}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:mestizo} = {res:{ralign 8:.4893953}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:otroethn} = {res:{ralign 8:.022359}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:incum_voter} = {res:{ralign 8:.352078}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:cp6r} = {res:{ralign 8:1.348199}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edr} = {res:{ralign 8:1.851523}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:quintiles} = {res:{ralign 8:3.008055}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:female} = {res:{ralign 8:.498115}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edad} = {res:{ralign 8:2.852107}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:urban} = {res:{ralign 8:.714368}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:soct2r} = {res:{ralign 8:1.727717}} {txt:(mean)}
{lalign 9:42._at: }{space 0}{lalign 16:bgi_dec_fear_c~t} = {res:{ralign 8:-.5}}
{lalign 9:}{space 0}{lalign 16:black} = {res:{ralign 8:.0932962}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:indig} = {res:{ralign 8:.069394}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:mestizo} = {res:{ralign 8:.4893953}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:otroethn} = {res:{ralign 8:.022359}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:incum_voter} = {res:{ralign 8:.352078}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:cp6r} = {res:{ralign 8:1.348199}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edr} = {res:{ralign 8:1.851523}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:quintiles} = {res:{ralign 8:3.008055}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:female} = {res:{ralign 8:.498115}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edad} = {res:{ralign 8:2.852107}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:urban} = {res:{ralign 8:.714368}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:soct2r} = {res:{ralign 8:1.727717}} {txt:(mean)}
{lalign 9:43._at: }{space 0}{lalign 16:bgi_dec_fear_c~t} = {res:{ralign 8:-.4}}
{lalign 9:}{space 0}{lalign 16:black} = {res:{ralign 8:.0932962}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:indig} = {res:{ralign 8:.069394}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:mestizo} = {res:{ralign 8:.4893953}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:otroethn} = {res:{ralign 8:.022359}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:incum_voter} = {res:{ralign 8:.352078}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:cp6r} = {res:{ralign 8:1.348199}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edr} = {res:{ralign 8:1.851523}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:quintiles} = {res:{ralign 8:3.008055}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:female} = {res:{ralign 8:.498115}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edad} = {res:{ralign 8:2.852107}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:urban} = {res:{ralign 8:.714368}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:soct2r} = {res:{ralign 8:1.727717}} {txt:(mean)}
{lalign 9:44._at: }{space 0}{lalign 16:bgi_dec_fear_c~t} = {res:{ralign 8:-.3}}
{lalign 9:}{space 0}{lalign 16:black} = {res:{ralign 8:.0932962}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:indig} = {res:{ralign 8:.069394}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:mestizo} = {res:{ralign 8:.4893953}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:otroethn} = {res:{ralign 8:.022359}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:incum_voter} = {res:{ralign 8:.352078}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:cp6r} = {res:{ralign 8:1.348199}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edr} = {res:{ralign 8:1.851523}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:quintiles} = {res:{ralign 8:3.008055}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:female} = {res:{ralign 8:.498115}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edad} = {res:{ralign 8:2.852107}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:urban} = {res:{ralign 8:.714368}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:soct2r} = {res:{ralign 8:1.727717}} {txt:(mean)}
{lalign 9:45._at: }{space 0}{lalign 16:bgi_dec_fear_c~t} = {res:{ralign 8:-.2}}
{lalign 9:}{space 0}{lalign 16:black} = {res:{ralign 8:.0932962}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:indig} = {res:{ralign 8:.069394}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:mestizo} = {res:{ralign 8:.4893953}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:otroethn} = {res:{ralign 8:.022359}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:incum_voter} = {res:{ralign 8:.352078}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:cp6r} = {res:{ralign 8:1.348199}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edr} = {res:{ralign 8:1.851523}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:quintiles} = {res:{ralign 8:3.008055}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:female} = {res:{ralign 8:.498115}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edad} = {res:{ralign 8:2.852107}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:urban} = {res:{ralign 8:.714368}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:soct2r} = {res:{ralign 8:1.727717}} {txt:(mean)}
{lalign 9:46._at: }{space 0}{lalign 16:bgi_dec_fear_c~t} = {res:{ralign 8:-.1}}
{lalign 9:}{space 0}{lalign 16:black} = {res:{ralign 8:.0932962}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:indig} = {res:{ralign 8:.069394}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:mestizo} = {res:{ralign 8:.4893953}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:otroethn} = {res:{ralign 8:.022359}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:incum_voter} = {res:{ralign 8:.352078}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:cp6r} = {res:{ralign 8:1.348199}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edr} = {res:{ralign 8:1.851523}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:quintiles} = {res:{ralign 8:3.008055}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:female} = {res:{ralign 8:.498115}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edad} = {res:{ralign 8:2.852107}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:urban} = {res:{ralign 8:.714368}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:soct2r} = {res:{ralign 8:1.727717}} {txt:(mean)}
{lalign 9:47._at: }{space 0}{lalign 16:bgi_dec_fear_c~t} = {res:{ralign 8:0}}
{lalign 9:}{space 0}{lalign 16:black} = {res:{ralign 8:.0932962}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:indig} = {res:{ralign 8:.069394}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:mestizo} = {res:{ralign 8:.4893953}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:otroethn} = {res:{ralign 8:.022359}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:incum_voter} = {res:{ralign 8:.352078}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:cp6r} = {res:{ralign 8:1.348199}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edr} = {res:{ralign 8:1.851523}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:quintiles} = {res:{ralign 8:3.008055}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:female} = {res:{ralign 8:.498115}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edad} = {res:{ralign 8:2.852107}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:urban} = {res:{ralign 8:.714368}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:soct2r} = {res:{ralign 8:1.727717}} {txt:(mean)}
{lalign 9:48._at: }{space 0}{lalign 16:bgi_dec_fear_c~t} = {res:{ralign 8:.1}}
{lalign 9:}{space 0}{lalign 16:black} = {res:{ralign 8:.0932962}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:indig} = {res:{ralign 8:.069394}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:mestizo} = {res:{ralign 8:.4893953}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:otroethn} = {res:{ralign 8:.022359}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:incum_voter} = {res:{ralign 8:.352078}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:cp6r} = {res:{ralign 8:1.348199}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edr} = {res:{ralign 8:1.851523}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:quintiles} = {res:{ralign 8:3.008055}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:female} = {res:{ralign 8:.498115}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edad} = {res:{ralign 8:2.852107}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:urban} = {res:{ralign 8:.714368}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:soct2r} = {res:{ralign 8:1.727717}} {txt:(mean)}
{lalign 9:49._at: }{space 0}{lalign 16:bgi_dec_fear_c~t} = {res:{ralign 8:.2}}
{lalign 9:}{space 0}{lalign 16:black} = {res:{ralign 8:.0932962}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:indig} = {res:{ralign 8:.069394}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:mestizo} = {res:{ralign 8:.4893953}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:otroethn} = {res:{ralign 8:.022359}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:incum_voter} = {res:{ralign 8:.352078}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:cp6r} = {res:{ralign 8:1.348199}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edr} = {res:{ralign 8:1.851523}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:quintiles} = {res:{ralign 8:3.008055}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:female} = {res:{ralign 8:.498115}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edad} = {res:{ralign 8:2.852107}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:urban} = {res:{ralign 8:.714368}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:soct2r} = {res:{ralign 8:1.727717}} {txt:(mean)}
{lalign 9:50._at: }{space 0}{lalign 16:bgi_dec_fear_c~t} = {res:{ralign 8:.3}}
{lalign 9:}{space 0}{lalign 16:black} = {res:{ralign 8:.0932962}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:indig} = {res:{ralign 8:.069394}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:mestizo} = {res:{ralign 8:.4893953}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:otroethn} = {res:{ralign 8:.022359}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:incum_voter} = {res:{ralign 8:.352078}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:cp6r} = {res:{ralign 8:1.348199}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edr} = {res:{ralign 8:1.851523}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:quintiles} = {res:{ralign 8:3.008055}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:female} = {res:{ralign 8:.498115}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edad} = {res:{ralign 8:2.852107}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:urban} = {res:{ralign 8:.714368}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:soct2r} = {res:{ralign 8:1.727717}} {txt:(mean)}
{lalign 9:51._at: }{space 0}{lalign 16:bgi_dec_fear_c~t} = {res:{ralign 8:.4}}
{lalign 9:}{space 0}{lalign 16:black} = {res:{ralign 8:.0932962}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:indig} = {res:{ralign 8:.069394}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:mestizo} = {res:{ralign 8:.4893953}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:otroethn} = {res:{ralign 8:.022359}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:incum_voter} = {res:{ralign 8:.352078}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:cp6r} = {res:{ralign 8:1.348199}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edr} = {res:{ralign 8:1.851523}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:quintiles} = {res:{ralign 8:3.008055}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:female} = {res:{ralign 8:.498115}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edad} = {res:{ralign 8:2.852107}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:urban} = {res:{ralign 8:.714368}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:soct2r} = {res:{ralign 8:1.727717}} {txt:(mean)}
{lalign 9:52._at: }{space 0}{lalign 16:bgi_dec_fear_c~t} = {res:{ralign 8:.5}}
{lalign 9:}{space 0}{lalign 16:black} = {res:{ralign 8:.0932962}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:indig} = {res:{ralign 8:.069394}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:mestizo} = {res:{ralign 8:.4893953}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:otroethn} = {res:{ralign 8:.022359}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:incum_voter} = {res:{ralign 8:.352078}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:cp6r} = {res:{ralign 8:1.348199}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edr} = {res:{ralign 8:1.851523}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:quintiles} = {res:{ralign 8:3.008055}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:female} = {res:{ralign 8:.498115}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edad} = {res:{ralign 8:2.852107}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:urban} = {res:{ralign 8:.714368}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:soct2r} = {res:{ralign 8:1.727717}} {txt:(mean)}
{lalign 9:53._at: }{space 0}{lalign 16:bgi_dec_fear_c~t} = {res:{ralign 8:.6}}
{lalign 9:}{space 0}{lalign 16:black} = {res:{ralign 8:.0932962}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:indig} = {res:{ralign 8:.069394}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:mestizo} = {res:{ralign 8:.4893953}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:otroethn} = {res:{ralign 8:.022359}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:incum_voter} = {res:{ralign 8:.352078}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:cp6r} = {res:{ralign 8:1.348199}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edr} = {res:{ralign 8:1.851523}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:quintiles} = {res:{ralign 8:3.008055}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:female} = {res:{ralign 8:.498115}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edad} = {res:{ralign 8:2.852107}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:urban} = {res:{ralign 8:.714368}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:soct2r} = {res:{ralign 8:1.727717}} {txt:(mean)}
{lalign 9:54._at: }{space 0}{lalign 16:bgi_dec_fear_c~t} = {res:{ralign 8:.7}}
{lalign 9:}{space 0}{lalign 16:black} = {res:{ralign 8:.0932962}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:indig} = {res:{ralign 8:.069394}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:mestizo} = {res:{ralign 8:.4893953}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:otroethn} = {res:{ralign 8:.022359}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:incum_voter} = {res:{ralign 8:.352078}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:cp6r} = {res:{ralign 8:1.348199}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edr} = {res:{ralign 8:1.851523}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:quintiles} = {res:{ralign 8:3.008055}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:female} = {res:{ralign 8:.498115}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edad} = {res:{ralign 8:2.852107}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:urban} = {res:{ralign 8:.714368}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:soct2r} = {res:{ralign 8:1.727717}} {txt:(mean)}
{lalign 9:55._at: }{space 0}{lalign 16:bgi_dec_fear_c~t} = {res:{ralign 8:.8}}
{lalign 9:}{space 0}{lalign 16:black} = {res:{ralign 8:.0932962}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:indig} = {res:{ralign 8:.069394}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:mestizo} = {res:{ralign 8:.4893953}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:otroethn} = {res:{ralign 8:.022359}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:incum_voter} = {res:{ralign 8:.352078}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:cp6r} = {res:{ralign 8:1.348199}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edr} = {res:{ralign 8:1.851523}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:quintiles} = {res:{ralign 8:3.008055}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:female} = {res:{ralign 8:.498115}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edad} = {res:{ralign 8:2.852107}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:urban} = {res:{ralign 8:.714368}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:soct2r} = {res:{ralign 8:1.727717}} {txt:(mean)}
{lalign 9:56._at: }{space 0}{lalign 16:bgi_dec_fear_c~t} = {res:{ralign 8:.9}}
{lalign 9:}{space 0}{lalign 16:black} = {res:{ralign 8:.0932962}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:indig} = {res:{ralign 8:.069394}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:mestizo} = {res:{ralign 8:.4893953}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:otroethn} = {res:{ralign 8:.022359}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:incum_voter} = {res:{ralign 8:.352078}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:cp6r} = {res:{ralign 8:1.348199}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edr} = {res:{ralign 8:1.851523}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:quintiles} = {res:{ralign 8:3.008055}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:female} = {res:{ralign 8:.498115}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edad} = {res:{ralign 8:2.852107}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:urban} = {res:{ralign 8:.714368}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:soct2r} = {res:{ralign 8:1.727717}} {txt:(mean)}
{lalign 9:57._at: }{space 0}{lalign 16:bgi_dec_fear_c~t} = {res:{ralign 8:1}}
{lalign 9:}{space 0}{lalign 16:black} = {res:{ralign 8:.0932962}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:indig} = {res:{ralign 8:.069394}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:mestizo} = {res:{ralign 8:.4893953}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:otroethn} = {res:{ralign 8:.022359}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:incum_voter} = {res:{ralign 8:.352078}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:cp6r} = {res:{ralign 8:1.348199}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edr} = {res:{ralign 8:1.851523}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:quintiles} = {res:{ralign 8:3.008055}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:female} = {res:{ralign 8:.498115}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edad} = {res:{ralign 8:2.852107}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:urban} = {res:{ralign 8:.714368}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:soct2r} = {res:{ralign 8:1.727717}} {txt:(mean)}
{lalign 9:58._at: }{space 0}{lalign 16:bgi_dec_fear_c~t} = {res:{ralign 8:1.1}}
{lalign 9:}{space 0}{lalign 16:black} = {res:{ralign 8:.0932962}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:indig} = {res:{ralign 8:.069394}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:mestizo} = {res:{ralign 8:.4893953}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:otroethn} = {res:{ralign 8:.022359}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:incum_voter} = {res:{ralign 8:.352078}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:cp6r} = {res:{ralign 8:1.348199}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edr} = {res:{ralign 8:1.851523}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:quintiles} = {res:{ralign 8:3.008055}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:female} = {res:{ralign 8:.498115}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edad} = {res:{ralign 8:2.852107}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:urban} = {res:{ralign 8:.714368}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:soct2r} = {res:{ralign 8:1.727717}} {txt:(mean)}
{lalign 9:59._at: }{space 0}{lalign 16:bgi_dec_fear_c~t} = {res:{ralign 8:1.2}}
{lalign 9:}{space 0}{lalign 16:black} = {res:{ralign 8:.0932962}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:indig} = {res:{ralign 8:.069394}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:mestizo} = {res:{ralign 8:.4893953}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:otroethn} = {res:{ralign 8:.022359}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:incum_voter} = {res:{ralign 8:.352078}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:cp6r} = {res:{ralign 8:1.348199}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edr} = {res:{ralign 8:1.851523}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:quintiles} = {res:{ralign 8:3.008055}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:female} = {res:{ralign 8:.498115}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edad} = {res:{ralign 8:2.852107}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:urban} = {res:{ralign 8:.714368}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:soct2r} = {res:{ralign 8:1.727717}} {txt:(mean)}
{lalign 9:60._at: }{space 0}{lalign 16:bgi_dec_fear_c~t} = {res:{ralign 8:1.3}}
{lalign 9:}{space 0}{lalign 16:black} = {res:{ralign 8:.0932962}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:indig} = {res:{ralign 8:.069394}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:mestizo} = {res:{ralign 8:.4893953}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:otroethn} = {res:{ralign 8:.022359}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:incum_voter} = {res:{ralign 8:.352078}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:cp6r} = {res:{ralign 8:1.348199}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edr} = {res:{ralign 8:1.851523}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:quintiles} = {res:{ralign 8:3.008055}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:female} = {res:{ralign 8:.498115}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edad} = {res:{ralign 8:2.852107}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:urban} = {res:{ralign 8:.714368}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:soct2r} = {res:{ralign 8:1.727717}} {txt:(mean)}
{lalign 9:61._at: }{space 0}{lalign 16:bgi_dec_fear_c~t} = {res:{ralign 8:1.4}}
{lalign 9:}{space 0}{lalign 16:black} = {res:{ralign 8:.0932962}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:indig} = {res:{ralign 8:.069394}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:mestizo} = {res:{ralign 8:.4893953}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:otroethn} = {res:{ralign 8:.022359}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:incum_voter} = {res:{ralign 8:.352078}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:cp6r} = {res:{ralign 8:1.348199}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edr} = {res:{ralign 8:1.851523}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:quintiles} = {res:{ralign 8:3.008055}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:female} = {res:{ralign 8:.498115}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edad} = {res:{ralign 8:2.852107}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:urban} = {res:{ralign 8:.714368}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:soct2r} = {res:{ralign 8:1.727717}} {txt:(mean)}
{lalign 9:62._at: }{space 0}{lalign 16:bgi_dec_fear_c~t} = {res:{ralign 8:1.5}}
{lalign 9:}{space 0}{lalign 16:black} = {res:{ralign 8:.0932962}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:indig} = {res:{ralign 8:.069394}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:mestizo} = {res:{ralign 8:.4893953}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:otroethn} = {res:{ralign 8:.022359}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:incum_voter} = {res:{ralign 8:.352078}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:cp6r} = {res:{ralign 8:1.348199}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edr} = {res:{ralign 8:1.851523}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:quintiles} = {res:{ralign 8:3.008055}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:female} = {res:{ralign 8:.498115}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edad} = {res:{ralign 8:2.852107}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:urban} = {res:{ralign 8:.714368}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:soct2r} = {res:{ralign 8:1.727717}} {txt:(mean)}
{lalign 9:63._at: }{space 0}{lalign 16:bgi_dec_fear_c~t} = {res:{ralign 8:1.6}}
{lalign 9:}{space 0}{lalign 16:black} = {res:{ralign 8:.0932962}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:indig} = {res:{ralign 8:.069394}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:mestizo} = {res:{ralign 8:.4893953}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:otroethn} = {res:{ralign 8:.022359}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:incum_voter} = {res:{ralign 8:.352078}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:cp6r} = {res:{ralign 8:1.348199}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edr} = {res:{ralign 8:1.851523}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:quintiles} = {res:{ralign 8:3.008055}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:female} = {res:{ralign 8:.498115}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edad} = {res:{ralign 8:2.852107}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:urban} = {res:{ralign 8:.714368}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:soct2r} = {res:{ralign 8:1.727717}} {txt:(mean)}
{lalign 9:64._at: }{space 0}{lalign 16:bgi_dec_fear_c~t} = {res:{ralign 8:1.7}}
{lalign 9:}{space 0}{lalign 16:black} = {res:{ralign 8:.0932962}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:indig} = {res:{ralign 8:.069394}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:mestizo} = {res:{ralign 8:.4893953}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:otroethn} = {res:{ralign 8:.022359}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:incum_voter} = {res:{ralign 8:.352078}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:cp6r} = {res:{ralign 8:1.348199}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edr} = {res:{ralign 8:1.851523}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:quintiles} = {res:{ralign 8:3.008055}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:female} = {res:{ralign 8:.498115}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edad} = {res:{ralign 8:2.852107}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:urban} = {res:{ralign 8:.714368}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:soct2r} = {res:{ralign 8:1.727717}} {txt:(mean)}
{lalign 9:65._at: }{space 0}{lalign 16:bgi_dec_fear_c~t} = {res:{ralign 8:1.8}}
{lalign 9:}{space 0}{lalign 16:black} = {res:{ralign 8:.0932962}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:indig} = {res:{ralign 8:.069394}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:mestizo} = {res:{ralign 8:.4893953}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:otroethn} = {res:{ralign 8:.022359}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:incum_voter} = {res:{ralign 8:.352078}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:cp6r} = {res:{ralign 8:1.348199}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edr} = {res:{ralign 8:1.851523}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:quintiles} = {res:{ralign 8:3.008055}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:female} = {res:{ralign 8:.498115}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edad} = {res:{ralign 8:2.852107}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:urban} = {res:{ralign 8:.714368}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:soct2r} = {res:{ralign 8:1.727717}} {txt:(mean)}
{lalign 9:66._at: }{space 0}{lalign 16:bgi_dec_fear_c~t} = {res:{ralign 8:1.9}}
{lalign 9:}{space 0}{lalign 16:black} = {res:{ralign 8:.0932962}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:indig} = {res:{ralign 8:.069394}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:mestizo} = {res:{ralign 8:.4893953}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:otroethn} = {res:{ralign 8:.022359}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:incum_voter} = {res:{ralign 8:.352078}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:cp6r} = {res:{ralign 8:1.348199}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edr} = {res:{ralign 8:1.851523}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:quintiles} = {res:{ralign 8:3.008055}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:female} = {res:{ralign 8:.498115}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edad} = {res:{ralign 8:2.852107}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:urban} = {res:{ralign 8:.714368}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:soct2r} = {res:{ralign 8:1.727717}} {txt:(mean)}
{lalign 9:67._at: }{space 0}{lalign 16:bgi_dec_fear_c~t} = {res:{ralign 8:2}}
{lalign 9:}{space 0}{lalign 16:black} = {res:{ralign 8:.0932962}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:indig} = {res:{ralign 8:.069394}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:mestizo} = {res:{ralign 8:.4893953}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:otroethn} = {res:{ralign 8:.022359}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:incum_voter} = {res:{ralign 8:.352078}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:cp6r} = {res:{ralign 8:1.348199}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edr} = {res:{ralign 8:1.851523}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:quintiles} = {res:{ralign 8:3.008055}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:female} = {res:{ralign 8:.498115}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edad} = {res:{ralign 8:2.852107}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:urban} = {res:{ralign 8:.714368}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:soct2r} = {res:{ralign 8:1.727717}} {txt:(mean)}
{lalign 9:68._at: }{space 0}{lalign 16:bgi_dec_fear_c~t} = {res:{ralign 8:2.1}}
{lalign 9:}{space 0}{lalign 16:black} = {res:{ralign 8:.0932962}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:indig} = {res:{ralign 8:.069394}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:mestizo} = {res:{ralign 8:.4893953}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:otroethn} = {res:{ralign 8:.022359}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:incum_voter} = {res:{ralign 8:.352078}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:cp6r} = {res:{ralign 8:1.348199}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edr} = {res:{ralign 8:1.851523}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:quintiles} = {res:{ralign 8:3.008055}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:female} = {res:{ralign 8:.498115}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edad} = {res:{ralign 8:2.852107}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:urban} = {res:{ralign 8:.714368}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:soct2r} = {res:{ralign 8:1.727717}} {txt:(mean)}
{lalign 9:69._at: }{space 0}{lalign 16:bgi_dec_fear_c~t} = {res:{ralign 8:2.2}}
{lalign 9:}{space 0}{lalign 16:black} = {res:{ralign 8:.0932962}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:indig} = {res:{ralign 8:.069394}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:mestizo} = {res:{ralign 8:.4893953}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:otroethn} = {res:{ralign 8:.022359}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:incum_voter} = {res:{ralign 8:.352078}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:cp6r} = {res:{ralign 8:1.348199}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edr} = {res:{ralign 8:1.851523}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:quintiles} = {res:{ralign 8:3.008055}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:female} = {res:{ralign 8:.498115}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edad} = {res:{ralign 8:2.852107}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:urban} = {res:{ralign 8:.714368}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:soct2r} = {res:{ralign 8:1.727717}} {txt:(mean)}
{lalign 9:70._at: }{space 0}{lalign 16:bgi_dec_fear_c~t} = {res:{ralign 8:2.3}}
{lalign 9:}{space 0}{lalign 16:black} = {res:{ralign 8:.0932962}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:indig} = {res:{ralign 8:.069394}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:mestizo} = {res:{ralign 8:.4893953}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:otroethn} = {res:{ralign 8:.022359}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:incum_voter} = {res:{ralign 8:.352078}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:cp6r} = {res:{ralign 8:1.348199}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edr} = {res:{ralign 8:1.851523}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:quintiles} = {res:{ralign 8:3.008055}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:female} = {res:{ralign 8:.498115}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edad} = {res:{ralign 8:2.852107}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:urban} = {res:{ralign 8:.714368}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:soct2r} = {res:{ralign 8:1.727717}} {txt:(mean)}
{lalign 9:71._at: }{space 0}{lalign 16:bgi_dec_fear_c~t} = {res:{ralign 8:2.4}}
{lalign 9:}{space 0}{lalign 16:black} = {res:{ralign 8:.0932962}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:indig} = {res:{ralign 8:.069394}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:mestizo} = {res:{ralign 8:.4893953}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:otroethn} = {res:{ralign 8:.022359}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:incum_voter} = {res:{ralign 8:.352078}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:cp6r} = {res:{ralign 8:1.348199}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edr} = {res:{ralign 8:1.851523}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:quintiles} = {res:{ralign 8:3.008055}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:female} = {res:{ralign 8:.498115}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edad} = {res:{ralign 8:2.852107}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:urban} = {res:{ralign 8:.714368}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:soct2r} = {res:{ralign 8:1.727717}} {txt:(mean)}
{lalign 9:72._at: }{space 0}{lalign 16:bgi_dec_fear_c~t} = {res:{ralign 8:2.5}}
{lalign 9:}{space 0}{lalign 16:black} = {res:{ralign 8:.0932962}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:indig} = {res:{ralign 8:.069394}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:mestizo} = {res:{ralign 8:.4893953}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:otroethn} = {res:{ralign 8:.022359}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:incum_voter} = {res:{ralign 8:.352078}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:cp6r} = {res:{ralign 8:1.348199}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edr} = {res:{ralign 8:1.851523}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:quintiles} = {res:{ralign 8:3.008055}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:female} = {res:{ralign 8:.498115}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edad} = {res:{ralign 8:2.852107}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:urban} = {res:{ralign 8:.714368}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:soct2r} = {res:{ralign 8:1.727717}} {txt:(mean)}
{lalign 9:73._at: }{space 0}{lalign 16:bgi_dec_fear_c~t} = {res:{ralign 8:2.6}}
{lalign 9:}{space 0}{lalign 16:black} = {res:{ralign 8:.0932962}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:indig} = {res:{ralign 8:.069394}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:mestizo} = {res:{ralign 8:.4893953}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:otroethn} = {res:{ralign 8:.022359}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:incum_voter} = {res:{ralign 8:.352078}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:cp6r} = {res:{ralign 8:1.348199}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edr} = {res:{ralign 8:1.851523}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:quintiles} = {res:{ralign 8:3.008055}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:female} = {res:{ralign 8:.498115}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edad} = {res:{ralign 8:2.852107}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:urban} = {res:{ralign 8:.714368}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:soct2r} = {res:{ralign 8:1.727717}} {txt:(mean)}
{lalign 9:74._at: }{space 0}{lalign 16:bgi_dec_fear_c~t} = {res:{ralign 8:2.7}}
{lalign 9:}{space 0}{lalign 16:black} = {res:{ralign 8:.0932962}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:indig} = {res:{ralign 8:.069394}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:mestizo} = {res:{ralign 8:.4893953}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:otroethn} = {res:{ralign 8:.022359}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:incum_voter} = {res:{ralign 8:.352078}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:cp6r} = {res:{ralign 8:1.348199}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edr} = {res:{ralign 8:1.851523}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:quintiles} = {res:{ralign 8:3.008055}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:female} = {res:{ralign 8:.498115}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edad} = {res:{ralign 8:2.852107}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:urban} = {res:{ralign 8:.714368}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:soct2r} = {res:{ralign 8:1.727717}} {txt:(mean)}
{lalign 9:75._at: }{space 0}{lalign 16:bgi_dec_fear_c~t} = {res:{ralign 8:2.8}}
{lalign 9:}{space 0}{lalign 16:black} = {res:{ralign 8:.0932962}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:indig} = {res:{ralign 8:.069394}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:mestizo} = {res:{ralign 8:.4893953}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:otroethn} = {res:{ralign 8:.022359}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:incum_voter} = {res:{ralign 8:.352078}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:cp6r} = {res:{ralign 8:1.348199}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edr} = {res:{ralign 8:1.851523}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:quintiles} = {res:{ralign 8:3.008055}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:female} = {res:{ralign 8:.498115}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edad} = {res:{ralign 8:2.852107}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:urban} = {res:{ralign 8:.714368}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:soct2r} = {res:{ralign 8:1.727717}} {txt:(mean)}
{lalign 9:76._at: }{space 0}{lalign 16:bgi_dec_fear_c~t} = {res:{ralign 8:2.9}}
{lalign 9:}{space 0}{lalign 16:black} = {res:{ralign 8:.0932962}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:indig} = {res:{ralign 8:.069394}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:mestizo} = {res:{ralign 8:.4893953}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:otroethn} = {res:{ralign 8:.022359}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:incum_voter} = {res:{ralign 8:.352078}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:cp6r} = {res:{ralign 8:1.348199}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edr} = {res:{ralign 8:1.851523}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:quintiles} = {res:{ralign 8:3.008055}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:female} = {res:{ralign 8:.498115}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edad} = {res:{ralign 8:2.852107}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:urban} = {res:{ralign 8:.714368}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:soct2r} = {res:{ralign 8:1.727717}} {txt:(mean)}
{lalign 9:77._at: }{space 0}{lalign 16:bgi_dec_fear_c~t} = {res:{ralign 8:3}}
{lalign 9:}{space 0}{lalign 16:black} = {res:{ralign 8:.0932962}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:indig} = {res:{ralign 8:.069394}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:mestizo} = {res:{ralign 8:.4893953}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:otroethn} = {res:{ralign 8:.022359}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:incum_voter} = {res:{ralign 8:.352078}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:cp6r} = {res:{ralign 8:1.348199}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edr} = {res:{ralign 8:1.851523}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:quintiles} = {res:{ralign 8:3.008055}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:female} = {res:{ralign 8:.498115}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edad} = {res:{ralign 8:2.852107}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:urban} = {res:{ralign 8:.714368}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:soct2r} = {res:{ralign 8:1.727717}} {txt:(mean)}
{lalign 9:78._at: }{space 0}{lalign 16:bgi_dec_fear_c~t} = {res:{ralign 8:3.1}}
{lalign 9:}{space 0}{lalign 16:black} = {res:{ralign 8:.0932962}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:indig} = {res:{ralign 8:.069394}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:mestizo} = {res:{ralign 8:.4893953}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:otroethn} = {res:{ralign 8:.022359}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:incum_voter} = {res:{ralign 8:.352078}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:cp6r} = {res:{ralign 8:1.348199}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edr} = {res:{ralign 8:1.851523}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:quintiles} = {res:{ralign 8:3.008055}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:female} = {res:{ralign 8:.498115}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edad} = {res:{ralign 8:2.852107}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:urban} = {res:{ralign 8:.714368}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:soct2r} = {res:{ralign 8:1.727717}} {txt:(mean)}
{lalign 9:79._at: }{space 0}{lalign 16:bgi_dec_fear_c~t} = {res:{ralign 8:3.2}}
{lalign 9:}{space 0}{lalign 16:black} = {res:{ralign 8:.0932962}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:indig} = {res:{ralign 8:.069394}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:mestizo} = {res:{ralign 8:.4893953}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:otroethn} = {res:{ralign 8:.022359}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:incum_voter} = {res:{ralign 8:.352078}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:cp6r} = {res:{ralign 8:1.348199}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edr} = {res:{ralign 8:1.851523}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:quintiles} = {res:{ralign 8:3.008055}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:female} = {res:{ralign 8:.498115}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edad} = {res:{ralign 8:2.852107}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:urban} = {res:{ralign 8:.714368}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:soct2r} = {res:{ralign 8:1.727717}} {txt:(mean)}
{lalign 9:80._at: }{space 0}{lalign 16:bgi_dec_fear_c~t} = {res:{ralign 8:3.3}}
{lalign 9:}{space 0}{lalign 16:black} = {res:{ralign 8:.0932962}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:indig} = {res:{ralign 8:.069394}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:mestizo} = {res:{ralign 8:.4893953}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:otroethn} = {res:{ralign 8:.022359}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:incum_voter} = {res:{ralign 8:.352078}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:cp6r} = {res:{ralign 8:1.348199}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edr} = {res:{ralign 8:1.851523}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:quintiles} = {res:{ralign 8:3.008055}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:female} = {res:{ralign 8:.498115}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edad} = {res:{ralign 8:2.852107}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:urban} = {res:{ralign 8:.714368}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:soct2r} = {res:{ralign 8:1.727717}} {txt:(mean)}
{lalign 9:81._at: }{space 0}{lalign 16:bgi_dec_fear_c~t} = {res:{ralign 8:3.4}}
{lalign 9:}{space 0}{lalign 16:black} = {res:{ralign 8:.0932962}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:indig} = {res:{ralign 8:.069394}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:mestizo} = {res:{ralign 8:.4893953}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:otroethn} = {res:{ralign 8:.022359}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:incum_voter} = {res:{ralign 8:.352078}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:cp6r} = {res:{ralign 8:1.348199}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edr} = {res:{ralign 8:1.851523}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:quintiles} = {res:{ralign 8:3.008055}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:female} = {res:{ralign 8:.498115}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edad} = {res:{ralign 8:2.852107}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:urban} = {res:{ralign 8:.714368}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:soct2r} = {res:{ralign 8:1.727717}} {txt:(mean)}
{lalign 9:82._at: }{space 0}{lalign 16:bgi_dec_fear_c~t} = {res:{ralign 8:3.5}}
{lalign 9:}{space 0}{lalign 16:black} = {res:{ralign 8:.0932962}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:indig} = {res:{ralign 8:.069394}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:mestizo} = {res:{ralign 8:.4893953}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:otroethn} = {res:{ralign 8:.022359}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:incum_voter} = {res:{ralign 8:.352078}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:cp6r} = {res:{ralign 8:1.348199}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edr} = {res:{ralign 8:1.851523}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:quintiles} = {res:{ralign 8:3.008055}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:female} = {res:{ralign 8:.498115}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edad} = {res:{ralign 8:2.852107}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:urban} = {res:{ralign 8:.714368}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:soct2r} = {res:{ralign 8:1.727717}} {txt:(mean)}
{lalign 9:83._at: }{space 0}{lalign 16:bgi_dec_fear_c~t} = {res:{ralign 8:3.6}}
{lalign 9:}{space 0}{lalign 16:black} = {res:{ralign 8:.0932962}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:indig} = {res:{ralign 8:.069394}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:mestizo} = {res:{ralign 8:.4893953}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:otroethn} = {res:{ralign 8:.022359}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:incum_voter} = {res:{ralign 8:.352078}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:cp6r} = {res:{ralign 8:1.348199}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edr} = {res:{ralign 8:1.851523}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:quintiles} = {res:{ralign 8:3.008055}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:female} = {res:{ralign 8:.498115}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edad} = {res:{ralign 8:2.852107}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:urban} = {res:{ralign 8:.714368}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:soct2r} = {res:{ralign 8:1.727717}} {txt:(mean)}
{lalign 9:84._at: }{space 0}{lalign 16:bgi_dec_fear_c~t} = {res:{ralign 8:3.7}}
{lalign 9:}{space 0}{lalign 16:black} = {res:{ralign 8:.0932962}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:indig} = {res:{ralign 8:.069394}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:mestizo} = {res:{ralign 8:.4893953}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:otroethn} = {res:{ralign 8:.022359}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:incum_voter} = {res:{ralign 8:.352078}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:cp6r} = {res:{ralign 8:1.348199}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edr} = {res:{ralign 8:1.851523}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:quintiles} = {res:{ralign 8:3.008055}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:female} = {res:{ralign 8:.498115}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edad} = {res:{ralign 8:2.852107}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:urban} = {res:{ralign 8:.714368}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:soct2r} = {res:{ralign 8:1.727717}} {txt:(mean)}
{lalign 9:85._at: }{space 0}{lalign 16:bgi_dec_fear_c~t} = {res:{ralign 8:3.8}}
{lalign 9:}{space 0}{lalign 16:black} = {res:{ralign 8:.0932962}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:indig} = {res:{ralign 8:.069394}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:mestizo} = {res:{ralign 8:.4893953}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:otroethn} = {res:{ralign 8:.022359}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:incum_voter} = {res:{ralign 8:.352078}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:cp6r} = {res:{ralign 8:1.348199}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edr} = {res:{ralign 8:1.851523}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:quintiles} = {res:{ralign 8:3.008055}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:female} = {res:{ralign 8:.498115}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edad} = {res:{ralign 8:2.852107}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:urban} = {res:{ralign 8:.714368}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:soct2r} = {res:{ralign 8:1.727717}} {txt:(mean)}
{lalign 9:86._at: }{space 0}{lalign 16:bgi_dec_fear_c~t} = {res:{ralign 8:3.9}}
{lalign 9:}{space 0}{lalign 16:black} = {res:{ralign 8:.0932962}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:indig} = {res:{ralign 8:.069394}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:mestizo} = {res:{ralign 8:.4893953}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:otroethn} = {res:{ralign 8:.022359}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:incum_voter} = {res:{ralign 8:.352078}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:cp6r} = {res:{ralign 8:1.348199}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edr} = {res:{ralign 8:1.851523}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:quintiles} = {res:{ralign 8:3.008055}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:female} = {res:{ralign 8:.498115}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edad} = {res:{ralign 8:2.852107}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:urban} = {res:{ralign 8:.714368}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:soct2r} = {res:{ralign 8:1.727717}} {txt:(mean)}
{lalign 9:87._at: }{space 0}{lalign 16:bgi_dec_fear_c~t} = {res:{ralign 8:4}}
{lalign 9:}{space 0}{lalign 16:black} = {res:{ralign 8:.0932962}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:indig} = {res:{ralign 8:.069394}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:mestizo} = {res:{ralign 8:.4893953}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:otroethn} = {res:{ralign 8:.022359}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:incum_voter} = {res:{ralign 8:.352078}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:cp6r} = {res:{ralign 8:1.348199}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edr} = {res:{ralign 8:1.851523}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:quintiles} = {res:{ralign 8:3.008055}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:female} = {res:{ralign 8:.498115}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edad} = {res:{ralign 8:2.852107}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:urban} = {res:{ralign 8:.714368}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:soct2r} = {res:{ralign 8:1.727717}} {txt:(mean)}
{lalign 9:88._at: }{space 0}{lalign 16:bgi_dec_fear_c~t} = {res:{ralign 8:4.1}}
{lalign 9:}{space 0}{lalign 16:black} = {res:{ralign 8:.0932962}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:indig} = {res:{ralign 8:.069394}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:mestizo} = {res:{ralign 8:.4893953}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:otroethn} = {res:{ralign 8:.022359}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:incum_voter} = {res:{ralign 8:.352078}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:cp6r} = {res:{ralign 8:1.348199}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edr} = {res:{ralign 8:1.851523}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:quintiles} = {res:{ralign 8:3.008055}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:female} = {res:{ralign 8:.498115}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edad} = {res:{ralign 8:2.852107}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:urban} = {res:{ralign 8:.714368}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:soct2r} = {res:{ralign 8:1.727717}} {txt:(mean)}
{lalign 9:89._at: }{space 0}{lalign 16:bgi_dec_fear_c~t} = {res:{ralign 8:4.2}}
{lalign 9:}{space 0}{lalign 16:black} = {res:{ralign 8:.0932962}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:indig} = {res:{ralign 8:.069394}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:mestizo} = {res:{ralign 8:.4893953}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:otroethn} = {res:{ralign 8:.022359}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:incum_voter} = {res:{ralign 8:.352078}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:cp6r} = {res:{ralign 8:1.348199}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edr} = {res:{ralign 8:1.851523}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:quintiles} = {res:{ralign 8:3.008055}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:female} = {res:{ralign 8:.498115}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edad} = {res:{ralign 8:2.852107}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:urban} = {res:{ralign 8:.714368}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:soct2r} = {res:{ralign 8:1.727717}} {txt:(mean)}
{lalign 9:90._at: }{space 0}{lalign 16:bgi_dec_fear_c~t} = {res:{ralign 8:4.3}}
{lalign 9:}{space 0}{lalign 16:black} = {res:{ralign 8:.0932962}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:indig} = {res:{ralign 8:.069394}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:mestizo} = {res:{ralign 8:.4893953}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:otroethn} = {res:{ralign 8:.022359}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:incum_voter} = {res:{ralign 8:.352078}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:cp6r} = {res:{ralign 8:1.348199}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edr} = {res:{ralign 8:1.851523}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:quintiles} = {res:{ralign 8:3.008055}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:female} = {res:{ralign 8:.498115}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edad} = {res:{ralign 8:2.852107}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:urban} = {res:{ralign 8:.714368}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:soct2r} = {res:{ralign 8:1.727717}} {txt:(mean)}
{lalign 9:91._at: }{space 0}{lalign 16:bgi_dec_fear_c~t} = {res:{ralign 8:4.4}}
{lalign 9:}{space 0}{lalign 16:black} = {res:{ralign 8:.0932962}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:indig} = {res:{ralign 8:.069394}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:mestizo} = {res:{ralign 8:.4893953}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:otroethn} = {res:{ralign 8:.022359}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:incum_voter} = {res:{ralign 8:.352078}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:cp6r} = {res:{ralign 8:1.348199}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edr} = {res:{ralign 8:1.851523}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:quintiles} = {res:{ralign 8:3.008055}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:female} = {res:{ralign 8:.498115}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edad} = {res:{ralign 8:2.852107}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:urban} = {res:{ralign 8:.714368}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:soct2r} = {res:{ralign 8:1.727717}} {txt:(mean)}
{lalign 9:92._at: }{space 0}{lalign 16:bgi_dec_fear_c~t} = {res:{ralign 8:4.5}}
{lalign 9:}{space 0}{lalign 16:black} = {res:{ralign 8:.0932962}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:indig} = {res:{ralign 8:.069394}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:mestizo} = {res:{ralign 8:.4893953}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:otroethn} = {res:{ralign 8:.022359}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:incum_voter} = {res:{ralign 8:.352078}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:cp6r} = {res:{ralign 8:1.348199}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edr} = {res:{ralign 8:1.851523}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:quintiles} = {res:{ralign 8:3.008055}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:female} = {res:{ralign 8:.498115}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edad} = {res:{ralign 8:2.852107}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:urban} = {res:{ralign 8:.714368}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:soct2r} = {res:{ralign 8:1.727717}} {txt:(mean)}
{lalign 9:93._at: }{space 0}{lalign 16:bgi_dec_fear_c~t} = {res:{ralign 8:4.6}}
{lalign 9:}{space 0}{lalign 16:black} = {res:{ralign 8:.0932962}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:indig} = {res:{ralign 8:.069394}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:mestizo} = {res:{ralign 8:.4893953}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:otroethn} = {res:{ralign 8:.022359}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:incum_voter} = {res:{ralign 8:.352078}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:cp6r} = {res:{ralign 8:1.348199}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edr} = {res:{ralign 8:1.851523}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:quintiles} = {res:{ralign 8:3.008055}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:female} = {res:{ralign 8:.498115}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edad} = {res:{ralign 8:2.852107}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:urban} = {res:{ralign 8:.714368}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:soct2r} = {res:{ralign 8:1.727717}} {txt:(mean)}
{lalign 9:94._at: }{space 0}{lalign 16:bgi_dec_fear_c~t} = {res:{ralign 8:4.7}}
{lalign 9:}{space 0}{lalign 16:black} = {res:{ralign 8:.0932962}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:indig} = {res:{ralign 8:.069394}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:mestizo} = {res:{ralign 8:.4893953}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:otroethn} = {res:{ralign 8:.022359}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:incum_voter} = {res:{ralign 8:.352078}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:cp6r} = {res:{ralign 8:1.348199}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edr} = {res:{ralign 8:1.851523}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:quintiles} = {res:{ralign 8:3.008055}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:female} = {res:{ralign 8:.498115}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edad} = {res:{ralign 8:2.852107}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:urban} = {res:{ralign 8:.714368}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:soct2r} = {res:{ralign 8:1.727717}} {txt:(mean)}
{lalign 9:95._at: }{space 0}{lalign 16:bgi_dec_fear_c~t} = {res:{ralign 8:4.8}}
{lalign 9:}{space 0}{lalign 16:black} = {res:{ralign 8:.0932962}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:indig} = {res:{ralign 8:.069394}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:mestizo} = {res:{ralign 8:.4893953}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:otroethn} = {res:{ralign 8:.022359}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:incum_voter} = {res:{ralign 8:.352078}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:cp6r} = {res:{ralign 8:1.348199}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edr} = {res:{ralign 8:1.851523}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:quintiles} = {res:{ralign 8:3.008055}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:female} = {res:{ralign 8:.498115}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edad} = {res:{ralign 8:2.852107}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:urban} = {res:{ralign 8:.714368}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:soct2r} = {res:{ralign 8:1.727717}} {txt:(mean)}
{lalign 9:96._at: }{space 0}{lalign 16:bgi_dec_fear_c~t} = {res:{ralign 8:4.9}}
{lalign 9:}{space 0}{lalign 16:black} = {res:{ralign 8:.0932962}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:indig} = {res:{ralign 8:.069394}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:mestizo} = {res:{ralign 8:.4893953}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:otroethn} = {res:{ralign 8:.022359}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:incum_voter} = {res:{ralign 8:.352078}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:cp6r} = {res:{ralign 8:1.348199}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edr} = {res:{ralign 8:1.851523}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:quintiles} = {res:{ralign 8:3.008055}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:female} = {res:{ralign 8:.498115}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edad} = {res:{ralign 8:2.852107}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:urban} = {res:{ralign 8:.714368}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:soct2r} = {res:{ralign 8:1.727717}} {txt:(mean)}
{lalign 9:97._at: }{space 0}{lalign 16:bgi_dec_fear_c~t} = {res:{ralign 8:5}}
{lalign 9:}{space 0}{lalign 16:black} = {res:{ralign 8:.0932962}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:indig} = {res:{ralign 8:.069394}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:mestizo} = {res:{ralign 8:.4893953}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:otroethn} = {res:{ralign 8:.022359}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:incum_voter} = {res:{ralign 8:.352078}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:cp6r} = {res:{ralign 8:1.348199}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edr} = {res:{ralign 8:1.851523}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:quintiles} = {res:{ralign 8:3.008055}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:female} = {res:{ralign 8:.498115}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edad} = {res:{ralign 8:2.852107}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:urban} = {res:{ralign 8:.714368}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:soct2r} = {res:{ralign 8:1.727717}} {txt:(mean)}
{lalign 9:98._at: }{space 0}{lalign 16:bgi_dec_fear_c~t} = {res:{ralign 8:5.1}}
{lalign 9:}{space 0}{lalign 16:black} = {res:{ralign 8:.0932962}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:indig} = {res:{ralign 8:.069394}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:mestizo} = {res:{ralign 8:.4893953}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:otroethn} = {res:{ralign 8:.022359}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:incum_voter} = {res:{ralign 8:.352078}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:cp6r} = {res:{ralign 8:1.348199}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edr} = {res:{ralign 8:1.851523}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:quintiles} = {res:{ralign 8:3.008055}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:female} = {res:{ralign 8:.498115}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edad} = {res:{ralign 8:2.852107}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:urban} = {res:{ralign 8:.714368}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:soct2r} = {res:{ralign 8:1.727717}} {txt:(mean)}
{lalign 9:99._at: }{space 0}{lalign 16:bgi_dec_fear_c~t} = {res:{ralign 8:5.2}}
{lalign 9:}{space 0}{lalign 16:black} = {res:{ralign 8:.0932962}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:indig} = {res:{ralign 8:.069394}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:mestizo} = {res:{ralign 8:.4893953}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:otroethn} = {res:{ralign 8:.022359}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:incum_voter} = {res:{ralign 8:.352078}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:cp6r} = {res:{ralign 8:1.348199}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edr} = {res:{ralign 8:1.851523}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:quintiles} = {res:{ralign 8:3.008055}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:female} = {res:{ralign 8:.498115}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edad} = {res:{ralign 8:2.852107}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:urban} = {res:{ralign 8:.714368}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:soct2r} = {res:{ralign 8:1.727717}} {txt:(mean)}
{lalign 9:100._at: }{space 0}{lalign 16:bgi_dec_fear_c~t} = {res:{ralign 8:5.3}}
{lalign 9:}{space 0}{lalign 16:black} = {res:{ralign 8:.0932962}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:indig} = {res:{ralign 8:.069394}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:mestizo} = {res:{ralign 8:.4893953}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:otroethn} = {res:{ralign 8:.022359}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:incum_voter} = {res:{ralign 8:.352078}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:cp6r} = {res:{ralign 8:1.348199}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edr} = {res:{ralign 8:1.851523}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:quintiles} = {res:{ralign 8:3.008055}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:female} = {res:{ralign 8:.498115}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edad} = {res:{ralign 8:2.852107}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:urban} = {res:{ralign 8:.714368}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:soct2r} = {res:{ralign 8:1.727717}} {txt:(mean)}
{lalign 9:101._at: }{space 0}{lalign 16:bgi_dec_fear_c~t} = {res:{ralign 8:5.4}}
{lalign 9:}{space 0}{lalign 16:black} = {res:{ralign 8:.0932962}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:indig} = {res:{ralign 8:.069394}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:mestizo} = {res:{ralign 8:.4893953}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:otroethn} = {res:{ralign 8:.022359}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:incum_voter} = {res:{ralign 8:.352078}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:cp6r} = {res:{ralign 8:1.348199}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edr} = {res:{ralign 8:1.851523}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:quintiles} = {res:{ralign 8:3.008055}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:female} = {res:{ralign 8:.498115}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edad} = {res:{ralign 8:2.852107}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:urban} = {res:{ralign 8:.714368}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:soct2r} = {res:{ralign 8:1.727717}} {txt:(mean)}
{lalign 9:102._at: }{space 0}{lalign 16:bgi_dec_fear_c~t} = {res:{ralign 8:5.5}}
{lalign 9:}{space 0}{lalign 16:black} = {res:{ralign 8:.0932962}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:indig} = {res:{ralign 8:.069394}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:mestizo} = {res:{ralign 8:.4893953}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:otroethn} = {res:{ralign 8:.022359}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:incum_voter} = {res:{ralign 8:.352078}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:cp6r} = {res:{ralign 8:1.348199}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edr} = {res:{ralign 8:1.851523}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:quintiles} = {res:{ralign 8:3.008055}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:female} = {res:{ralign 8:.498115}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edad} = {res:{ralign 8:2.852107}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:urban} = {res:{ralign 8:.714368}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:soct2r} = {res:{ralign 8:1.727717}} {txt:(mean)}
{lalign 9:103._at: }{space 0}{lalign 16:bgi_dec_fear_c~t} = {res:{ralign 8:5.6}}
{lalign 9:}{space 0}{lalign 16:black} = {res:{ralign 8:.0932962}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:indig} = {res:{ralign 8:.069394}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:mestizo} = {res:{ralign 8:.4893953}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:otroethn} = {res:{ralign 8:.022359}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:incum_voter} = {res:{ralign 8:.352078}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:cp6r} = {res:{ralign 8:1.348199}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edr} = {res:{ralign 8:1.851523}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:quintiles} = {res:{ralign 8:3.008055}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:female} = {res:{ralign 8:.498115}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edad} = {res:{ralign 8:2.852107}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:urban} = {res:{ralign 8:.714368}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:soct2r} = {res:{ralign 8:1.727717}} {txt:(mean)}
{lalign 9:104._at: }{space 0}{lalign 16:bgi_dec_fear_c~t} = {res:{ralign 8:5.7}}
{lalign 9:}{space 0}{lalign 16:black} = {res:{ralign 8:.0932962}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:indig} = {res:{ralign 8:.069394}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:mestizo} = {res:{ralign 8:.4893953}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:otroethn} = {res:{ralign 8:.022359}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:incum_voter} = {res:{ralign 8:.352078}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:cp6r} = {res:{ralign 8:1.348199}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edr} = {res:{ralign 8:1.851523}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:quintiles} = {res:{ralign 8:3.008055}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:female} = {res:{ralign 8:.498115}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edad} = {res:{ralign 8:2.852107}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:urban} = {res:{ralign 8:.714368}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:soct2r} = {res:{ralign 8:1.727717}} {txt:(mean)}
{lalign 9:105._at: }{space 0}{lalign 16:bgi_dec_fear_c~t} = {res:{ralign 8:5.8}}
{lalign 9:}{space 0}{lalign 16:black} = {res:{ralign 8:.0932962}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:indig} = {res:{ralign 8:.069394}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:mestizo} = {res:{ralign 8:.4893953}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:otroethn} = {res:{ralign 8:.022359}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:incum_voter} = {res:{ralign 8:.352078}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:cp6r} = {res:{ralign 8:1.348199}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edr} = {res:{ralign 8:1.851523}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:quintiles} = {res:{ralign 8:3.008055}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:female} = {res:{ralign 8:.498115}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edad} = {res:{ralign 8:2.852107}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:urban} = {res:{ralign 8:.714368}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:soct2r} = {res:{ralign 8:1.727717}} {txt:(mean)}
{lalign 9:106._at: }{space 0}{lalign 16:bgi_dec_fear_c~t} = {res:{ralign 8:5.9}}
{lalign 9:}{space 0}{lalign 16:black} = {res:{ralign 8:.0932962}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:indig} = {res:{ralign 8:.069394}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:mestizo} = {res:{ralign 8:.4893953}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:otroethn} = {res:{ralign 8:.022359}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:incum_voter} = {res:{ralign 8:.352078}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:cp6r} = {res:{ralign 8:1.348199}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edr} = {res:{ralign 8:1.851523}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:quintiles} = {res:{ralign 8:3.008055}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:female} = {res:{ralign 8:.498115}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edad} = {res:{ralign 8:2.852107}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:urban} = {res:{ralign 8:.714368}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:soct2r} = {res:{ralign 8:1.727717}} {txt:(mean)}
{lalign 9:107._at: }{space 0}{lalign 16:bgi_dec_fear_c~t} = {res:{ralign 8:6}}
{lalign 9:}{space 0}{lalign 16:black} = {res:{ralign 8:.0932962}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:indig} = {res:{ralign 8:.069394}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:mestizo} = {res:{ralign 8:.4893953}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:otroethn} = {res:{ralign 8:.022359}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:incum_voter} = {res:{ralign 8:.352078}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:cp6r} = {res:{ralign 8:1.348199}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edr} = {res:{ralign 8:1.851523}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:quintiles} = {res:{ralign 8:3.008055}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:female} = {res:{ralign 8:.498115}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edad} = {res:{ralign 8:2.852107}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:urban} = {res:{ralign 8:.714368}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:soct2r} = {res:{ralign 8:1.727717}} {txt:(mean)}
{lalign 9:108._at: }{space 0}{lalign 16:bgi_dec_fear_c~t} = {res:{ralign 8:6.1}}
{lalign 9:}{space 0}{lalign 16:black} = {res:{ralign 8:.0932962}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:indig} = {res:{ralign 8:.069394}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:mestizo} = {res:{ralign 8:.4893953}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:otroethn} = {res:{ralign 8:.022359}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:incum_voter} = {res:{ralign 8:.352078}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:cp6r} = {res:{ralign 8:1.348199}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edr} = {res:{ralign 8:1.851523}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:quintiles} = {res:{ralign 8:3.008055}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:female} = {res:{ralign 8:.498115}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edad} = {res:{ralign 8:2.852107}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:urban} = {res:{ralign 8:.714368}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:soct2r} = {res:{ralign 8:1.727717}} {txt:(mean)}
{lalign 9:109._at: }{space 0}{lalign 16:bgi_dec_fear_c~t} = {res:{ralign 8:6.2}}
{lalign 9:}{space 0}{lalign 16:black} = {res:{ralign 8:.0932962}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:indig} = {res:{ralign 8:.069394}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:mestizo} = {res:{ralign 8:.4893953}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:otroethn} = {res:{ralign 8:.022359}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:incum_voter} = {res:{ralign 8:.352078}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:cp6r} = {res:{ralign 8:1.348199}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edr} = {res:{ralign 8:1.851523}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:quintiles} = {res:{ralign 8:3.008055}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:female} = {res:{ralign 8:.498115}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edad} = {res:{ralign 8:2.852107}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:urban} = {res:{ralign 8:.714368}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:soct2r} = {res:{ralign 8:1.727717}} {txt:(mean)}
{lalign 9:110._at: }{space 0}{lalign 16:bgi_dec_fear_c~t} = {res:{ralign 8:6.3}}
{lalign 9:}{space 0}{lalign 16:black} = {res:{ralign 8:.0932962}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:indig} = {res:{ralign 8:.069394}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:mestizo} = {res:{ralign 8:.4893953}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:otroethn} = {res:{ralign 8:.022359}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:incum_voter} = {res:{ralign 8:.352078}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:cp6r} = {res:{ralign 8:1.348199}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edr} = {res:{ralign 8:1.851523}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:quintiles} = {res:{ralign 8:3.008055}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:female} = {res:{ralign 8:.498115}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edad} = {res:{ralign 8:2.852107}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:urban} = {res:{ralign 8:.714368}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:soct2r} = {res:{ralign 8:1.727717}} {txt:(mean)}
{lalign 9:111._at: }{space 0}{lalign 16:bgi_dec_fear_c~t} = {res:{ralign 8:6.4}}
{lalign 9:}{space 0}{lalign 16:black} = {res:{ralign 8:.0932962}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:indig} = {res:{ralign 8:.069394}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:mestizo} = {res:{ralign 8:.4893953}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:otroethn} = {res:{ralign 8:.022359}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:incum_voter} = {res:{ralign 8:.352078}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:cp6r} = {res:{ralign 8:1.348199}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edr} = {res:{ralign 8:1.851523}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:quintiles} = {res:{ralign 8:3.008055}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:female} = {res:{ralign 8:.498115}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edad} = {res:{ralign 8:2.852107}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:urban} = {res:{ralign 8:.714368}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:soct2r} = {res:{ralign 8:1.727717}} {txt:(mean)}
{lalign 9:112._at: }{space 0}{lalign 16:bgi_dec_fear_c~t} = {res:{ralign 8:6.5}}
{lalign 9:}{space 0}{lalign 16:black} = {res:{ralign 8:.0932962}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:indig} = {res:{ralign 8:.069394}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:mestizo} = {res:{ralign 8:.4893953}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:otroethn} = {res:{ralign 8:.022359}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:incum_voter} = {res:{ralign 8:.352078}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:cp6r} = {res:{ralign 8:1.348199}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edr} = {res:{ralign 8:1.851523}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:quintiles} = {res:{ralign 8:3.008055}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:female} = {res:{ralign 8:.498115}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edad} = {res:{ralign 8:2.852107}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:urban} = {res:{ralign 8:.714368}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:soct2r} = {res:{ralign 8:1.727717}} {txt:(mean)}
{lalign 9:113._at: }{space 0}{lalign 16:bgi_dec_fear_c~t} = {res:{ralign 8:6.6}}
{lalign 9:}{space 0}{lalign 16:black} = {res:{ralign 8:.0932962}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:indig} = {res:{ralign 8:.069394}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:mestizo} = {res:{ralign 8:.4893953}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:otroethn} = {res:{ralign 8:.022359}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:incum_voter} = {res:{ralign 8:.352078}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:cp6r} = {res:{ralign 8:1.348199}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edr} = {res:{ralign 8:1.851523}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:quintiles} = {res:{ralign 8:3.008055}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:female} = {res:{ralign 8:.498115}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edad} = {res:{ralign 8:2.852107}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:urban} = {res:{ralign 8:.714368}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:soct2r} = {res:{ralign 8:1.727717}} {txt:(mean)}
{lalign 9:114._at: }{space 0}{lalign 16:bgi_dec_fear_c~t} = {res:{ralign 8:6.7}}
{lalign 9:}{space 0}{lalign 16:black} = {res:{ralign 8:.0932962}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:indig} = {res:{ralign 8:.069394}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:mestizo} = {res:{ralign 8:.4893953}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:otroethn} = {res:{ralign 8:.022359}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:incum_voter} = {res:{ralign 8:.352078}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:cp6r} = {res:{ralign 8:1.348199}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edr} = {res:{ralign 8:1.851523}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:quintiles} = {res:{ralign 8:3.008055}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:female} = {res:{ralign 8:.498115}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edad} = {res:{ralign 8:2.852107}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:urban} = {res:{ralign 8:.714368}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:soct2r} = {res:{ralign 8:1.727717}} {txt:(mean)}
{lalign 9:115._at: }{space 0}{lalign 16:bgi_dec_fear_c~t} = {res:{ralign 8:6.8}}
{lalign 9:}{space 0}{lalign 16:black} = {res:{ralign 8:.0932962}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:indig} = {res:{ralign 8:.069394}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:mestizo} = {res:{ralign 8:.4893953}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:otroethn} = {res:{ralign 8:.022359}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:incum_voter} = {res:{ralign 8:.352078}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:cp6r} = {res:{ralign 8:1.348199}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edr} = {res:{ralign 8:1.851523}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:quintiles} = {res:{ralign 8:3.008055}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:female} = {res:{ralign 8:.498115}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edad} = {res:{ralign 8:2.852107}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:urban} = {res:{ralign 8:.714368}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:soct2r} = {res:{ralign 8:1.727717}} {txt:(mean)}
{lalign 9:116._at: }{space 0}{lalign 16:bgi_dec_fear_c~t} = {res:{ralign 8:6.9}}
{lalign 9:}{space 0}{lalign 16:black} = {res:{ralign 8:.0932962}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:indig} = {res:{ralign 8:.069394}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:mestizo} = {res:{ralign 8:.4893953}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:otroethn} = {res:{ralign 8:.022359}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:incum_voter} = {res:{ralign 8:.352078}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:cp6r} = {res:{ralign 8:1.348199}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edr} = {res:{ralign 8:1.851523}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:quintiles} = {res:{ralign 8:3.008055}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:female} = {res:{ralign 8:.498115}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edad} = {res:{ralign 8:2.852107}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:urban} = {res:{ralign 8:.714368}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:soct2r} = {res:{ralign 8:1.727717}} {txt:(mean)}
{lalign 9:117._at: }{space 0}{lalign 16:bgi_dec_fear_c~t} = {res:{ralign 8:7}}
{lalign 9:}{space 0}{lalign 16:black} = {res:{ralign 8:.0932962}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:indig} = {res:{ralign 8:.069394}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:mestizo} = {res:{ralign 8:.4893953}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:otroethn} = {res:{ralign 8:.022359}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:incum_voter} = {res:{ralign 8:.352078}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:cp6r} = {res:{ralign 8:1.348199}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edr} = {res:{ralign 8:1.851523}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:quintiles} = {res:{ralign 8:3.008055}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:female} = {res:{ralign 8:.498115}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edad} = {res:{ralign 8:2.852107}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:urban} = {res:{ralign 8:.714368}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:soct2r} = {res:{ralign 8:1.727717}} {txt:(mean)}
{lalign 9:118._at: }{space 0}{lalign 16:bgi_dec_fear_c~t} = {res:{ralign 8:7.1}}
{lalign 9:}{space 0}{lalign 16:black} = {res:{ralign 8:.0932962}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:indig} = {res:{ralign 8:.069394}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:mestizo} = {res:{ralign 8:.4893953}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:otroethn} = {res:{ralign 8:.022359}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:incum_voter} = {res:{ralign 8:.352078}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:cp6r} = {res:{ralign 8:1.348199}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edr} = {res:{ralign 8:1.851523}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:quintiles} = {res:{ralign 8:3.008055}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:female} = {res:{ralign 8:.498115}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edad} = {res:{ralign 8:2.852107}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:urban} = {res:{ralign 8:.714368}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:soct2r} = {res:{ralign 8:1.727717}} {txt:(mean)}
{lalign 9:119._at: }{space 0}{lalign 16:bgi_dec_fear_c~t} = {res:{ralign 8:7.2}}
{lalign 9:}{space 0}{lalign 16:black} = {res:{ralign 8:.0932962}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:indig} = {res:{ralign 8:.069394}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:mestizo} = {res:{ralign 8:.4893953}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:otroethn} = {res:{ralign 8:.022359}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:incum_voter} = {res:{ralign 8:.352078}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:cp6r} = {res:{ralign 8:1.348199}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edr} = {res:{ralign 8:1.851523}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:quintiles} = {res:{ralign 8:3.008055}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:female} = {res:{ralign 8:.498115}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edad} = {res:{ralign 8:2.852107}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:urban} = {res:{ralign 8:.714368}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:soct2r} = {res:{ralign 8:1.727717}} {txt:(mean)}
{lalign 9:120._at: }{space 0}{lalign 16:bgi_dec_fear_c~t} = {res:{ralign 8:7.3}}
{lalign 9:}{space 0}{lalign 16:black} = {res:{ralign 8:.0932962}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:indig} = {res:{ralign 8:.069394}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:mestizo} = {res:{ralign 8:.4893953}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:otroethn} = {res:{ralign 8:.022359}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:incum_voter} = {res:{ralign 8:.352078}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:cp6r} = {res:{ralign 8:1.348199}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edr} = {res:{ralign 8:1.851523}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:quintiles} = {res:{ralign 8:3.008055}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:female} = {res:{ralign 8:.498115}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edad} = {res:{ralign 8:2.852107}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:urban} = {res:{ralign 8:.714368}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:soct2r} = {res:{ralign 8:1.727717}} {txt:(mean)}
{lalign 9:121._at: }{space 0}{lalign 16:bgi_dec_fear_c~t} = {res:{ralign 8:7.4}}
{lalign 9:}{space 0}{lalign 16:black} = {res:{ralign 8:.0932962}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:indig} = {res:{ralign 8:.069394}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:mestizo} = {res:{ralign 8:.4893953}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:otroethn} = {res:{ralign 8:.022359}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:incum_voter} = {res:{ralign 8:.352078}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:cp6r} = {res:{ralign 8:1.348199}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edr} = {res:{ralign 8:1.851523}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:quintiles} = {res:{ralign 8:3.008055}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:female} = {res:{ralign 8:.498115}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edad} = {res:{ralign 8:2.852107}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:urban} = {res:{ralign 8:.714368}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:soct2r} = {res:{ralign 8:1.727717}} {txt:(mean)}
{lalign 9:122._at: }{space 0}{lalign 16:bgi_dec_fear_c~t} = {res:{ralign 8:7.5}}
{lalign 9:}{space 0}{lalign 16:black} = {res:{ralign 8:.0932962}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:indig} = {res:{ralign 8:.069394}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:mestizo} = {res:{ralign 8:.4893953}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:otroethn} = {res:{ralign 8:.022359}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:incum_voter} = {res:{ralign 8:.352078}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:cp6r} = {res:{ralign 8:1.348199}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edr} = {res:{ralign 8:1.851523}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:quintiles} = {res:{ralign 8:3.008055}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:female} = {res:{ralign 8:.498115}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edad} = {res:{ralign 8:2.852107}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:urban} = {res:{ralign 8:.714368}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:soct2r} = {res:{ralign 8:1.727717}} {txt:(mean)}
{lalign 9:123._at: }{space 0}{lalign 16:bgi_dec_fear_c~t} = {res:{ralign 8:7.6}}
{lalign 9:}{space 0}{lalign 16:black} = {res:{ralign 8:.0932962}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:indig} = {res:{ralign 8:.069394}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:mestizo} = {res:{ralign 8:.4893953}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:otroethn} = {res:{ralign 8:.022359}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:incum_voter} = {res:{ralign 8:.352078}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:cp6r} = {res:{ralign 8:1.348199}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edr} = {res:{ralign 8:1.851523}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:quintiles} = {res:{ralign 8:3.008055}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:female} = {res:{ralign 8:.498115}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edad} = {res:{ralign 8:2.852107}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:urban} = {res:{ralign 8:.714368}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:soct2r} = {res:{ralign 8:1.727717}} {txt:(mean)}
{lalign 9:124._at: }{space 0}{lalign 16:bgi_dec_fear_c~t} = {res:{ralign 8:7.7}}
{lalign 9:}{space 0}{lalign 16:black} = {res:{ralign 8:.0932962}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:indig} = {res:{ralign 8:.069394}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:mestizo} = {res:{ralign 8:.4893953}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:otroethn} = {res:{ralign 8:.022359}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:incum_voter} = {res:{ralign 8:.352078}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:cp6r} = {res:{ralign 8:1.348199}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edr} = {res:{ralign 8:1.851523}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:quintiles} = {res:{ralign 8:3.008055}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:female} = {res:{ralign 8:.498115}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edad} = {res:{ralign 8:2.852107}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:urban} = {res:{ralign 8:.714368}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:soct2r} = {res:{ralign 8:1.727717}} {txt:(mean)}
{lalign 9:125._at: }{space 0}{lalign 16:bgi_dec_fear_c~t} = {res:{ralign 8:7.8}}
{lalign 9:}{space 0}{lalign 16:black} = {res:{ralign 8:.0932962}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:indig} = {res:{ralign 8:.069394}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:mestizo} = {res:{ralign 8:.4893953}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:otroethn} = {res:{ralign 8:.022359}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:incum_voter} = {res:{ralign 8:.352078}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:cp6r} = {res:{ralign 8:1.348199}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edr} = {res:{ralign 8:1.851523}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:quintiles} = {res:{ralign 8:3.008055}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:female} = {res:{ralign 8:.498115}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edad} = {res:{ralign 8:2.852107}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:urban} = {res:{ralign 8:.714368}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:soct2r} = {res:{ralign 8:1.727717}} {txt:(mean)}
{lalign 9:126._at: }{space 0}{lalign 16:bgi_dec_fear_c~t} = {res:{ralign 8:7.9}}
{lalign 9:}{space 0}{lalign 16:black} = {res:{ralign 8:.0932962}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:indig} = {res:{ralign 8:.069394}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:mestizo} = {res:{ralign 8:.4893953}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:otroethn} = {res:{ralign 8:.022359}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:incum_voter} = {res:{ralign 8:.352078}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:cp6r} = {res:{ralign 8:1.348199}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edr} = {res:{ralign 8:1.851523}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:quintiles} = {res:{ralign 8:3.008055}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:female} = {res:{ralign 8:.498115}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edad} = {res:{ralign 8:2.852107}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:urban} = {res:{ralign 8:.714368}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:soct2r} = {res:{ralign 8:1.727717}} {txt:(mean)}
{lalign 9:127._at: }{space 0}{lalign 16:bgi_dec_fear_c~t} = {res:{ralign 8:8}}
{lalign 9:}{space 0}{lalign 16:black} = {res:{ralign 8:.0932962}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:indig} = {res:{ralign 8:.069394}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:mestizo} = {res:{ralign 8:.4893953}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:otroethn} = {res:{ralign 8:.022359}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:incum_voter} = {res:{ralign 8:.352078}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:cp6r} = {res:{ralign 8:1.348199}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edr} = {res:{ralign 8:1.851523}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:quintiles} = {res:{ralign 8:3.008055}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:female} = {res:{ralign 8:.498115}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edad} = {res:{ralign 8:2.852107}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:urban} = {res:{ralign 8:.714368}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:soct2r} = {res:{ralign 8:1.727717}} {txt:(mean)}
{lalign 9:128._at: }{space 0}{lalign 16:bgi_dec_fear_c~t} = {res:{ralign 8:8.1}}
{lalign 9:}{space 0}{lalign 16:black} = {res:{ralign 8:.0932962}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:indig} = {res:{ralign 8:.069394}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:mestizo} = {res:{ralign 8:.4893953}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:otroethn} = {res:{ralign 8:.022359}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:incum_voter} = {res:{ralign 8:.352078}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:cp6r} = {res:{ralign 8:1.348199}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edr} = {res:{ralign 8:1.851523}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:quintiles} = {res:{ralign 8:3.008055}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:female} = {res:{ralign 8:.498115}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edad} = {res:{ralign 8:2.852107}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:urban} = {res:{ralign 8:.714368}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:soct2r} = {res:{ralign 8:1.727717}} {txt:(mean)}
{lalign 9:129._at: }{space 0}{lalign 16:bgi_dec_fear_c~t} = {res:{ralign 8:8.2}}
{lalign 9:}{space 0}{lalign 16:black} = {res:{ralign 8:.0932962}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:indig} = {res:{ralign 8:.069394}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:mestizo} = {res:{ralign 8:.4893953}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:otroethn} = {res:{ralign 8:.022359}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:incum_voter} = {res:{ralign 8:.352078}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:cp6r} = {res:{ralign 8:1.348199}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edr} = {res:{ralign 8:1.851523}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:quintiles} = {res:{ralign 8:3.008055}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:female} = {res:{ralign 8:.498115}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edad} = {res:{ralign 8:2.852107}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:urban} = {res:{ralign 8:.714368}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:soct2r} = {res:{ralign 8:1.727717}} {txt:(mean)}
{lalign 9:130._at: }{space 0}{lalign 16:bgi_dec_fear_c~t} = {res:{ralign 8:8.3}}
{lalign 9:}{space 0}{lalign 16:black} = {res:{ralign 8:.0932962}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:indig} = {res:{ralign 8:.069394}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:mestizo} = {res:{ralign 8:.4893953}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:otroethn} = {res:{ralign 8:.022359}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:incum_voter} = {res:{ralign 8:.352078}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:cp6r} = {res:{ralign 8:1.348199}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edr} = {res:{ralign 8:1.851523}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:quintiles} = {res:{ralign 8:3.008055}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:female} = {res:{ralign 8:.498115}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edad} = {res:{ralign 8:2.852107}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:urban} = {res:{ralign 8:.714368}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:soct2r} = {res:{ralign 8:1.727717}} {txt:(mean)}
{lalign 9:131._at: }{space 0}{lalign 16:bgi_dec_fear_c~t} = {res:{ralign 8:8.4}}
{lalign 9:}{space 0}{lalign 16:black} = {res:{ralign 8:.0932962}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:indig} = {res:{ralign 8:.069394}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:mestizo} = {res:{ralign 8:.4893953}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:otroethn} = {res:{ralign 8:.022359}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:incum_voter} = {res:{ralign 8:.352078}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:cp6r} = {res:{ralign 8:1.348199}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edr} = {res:{ralign 8:1.851523}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:quintiles} = {res:{ralign 8:3.008055}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:female} = {res:{ralign 8:.498115}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edad} = {res:{ralign 8:2.852107}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:urban} = {res:{ralign 8:.714368}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:soct2r} = {res:{ralign 8:1.727717}} {txt:(mean)}
{lalign 9:132._at: }{space 0}{lalign 16:bgi_dec_fear_c~t} = {res:{ralign 8:8.5}}
{lalign 9:}{space 0}{lalign 16:black} = {res:{ralign 8:.0932962}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:indig} = {res:{ralign 8:.069394}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:mestizo} = {res:{ralign 8:.4893953}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:otroethn} = {res:{ralign 8:.022359}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:incum_voter} = {res:{ralign 8:.352078}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:cp6r} = {res:{ralign 8:1.348199}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edr} = {res:{ralign 8:1.851523}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:quintiles} = {res:{ralign 8:3.008055}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:female} = {res:{ralign 8:.498115}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edad} = {res:{ralign 8:2.852107}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:urban} = {res:{ralign 8:.714368}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:soct2r} = {res:{ralign 8:1.727717}} {txt:(mean)}
{lalign 9:133._at: }{space 0}{lalign 16:bgi_dec_fear_c~t} = {res:{ralign 8:8.6}}
{lalign 9:}{space 0}{lalign 16:black} = {res:{ralign 8:.0932962}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:indig} = {res:{ralign 8:.069394}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:mestizo} = {res:{ralign 8:.4893953}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:otroethn} = {res:{ralign 8:.022359}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:incum_voter} = {res:{ralign 8:.352078}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:cp6r} = {res:{ralign 8:1.348199}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edr} = {res:{ralign 8:1.851523}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:quintiles} = {res:{ralign 8:3.008055}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:female} = {res:{ralign 8:.498115}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edad} = {res:{ralign 8:2.852107}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:urban} = {res:{ralign 8:.714368}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:soct2r} = {res:{ralign 8:1.727717}} {txt:(mean)}
{lalign 9:134._at: }{space 0}{lalign 16:bgi_dec_fear_c~t} = {res:{ralign 8:8.7}}
{lalign 9:}{space 0}{lalign 16:black} = {res:{ralign 8:.0932962}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:indig} = {res:{ralign 8:.069394}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:mestizo} = {res:{ralign 8:.4893953}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:otroethn} = {res:{ralign 8:.022359}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:incum_voter} = {res:{ralign 8:.352078}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:cp6r} = {res:{ralign 8:1.348199}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edr} = {res:{ralign 8:1.851523}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:quintiles} = {res:{ralign 8:3.008055}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:female} = {res:{ralign 8:.498115}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edad} = {res:{ralign 8:2.852107}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:urban} = {res:{ralign 8:.714368}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:soct2r} = {res:{ralign 8:1.727717}} {txt:(mean)}
{lalign 9:135._at: }{space 0}{lalign 16:bgi_dec_fear_c~t} = {res:{ralign 8:8.8}}
{lalign 9:}{space 0}{lalign 16:black} = {res:{ralign 8:.0932962}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:indig} = {res:{ralign 8:.069394}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:mestizo} = {res:{ralign 8:.4893953}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:otroethn} = {res:{ralign 8:.022359}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:incum_voter} = {res:{ralign 8:.352078}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:cp6r} = {res:{ralign 8:1.348199}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edr} = {res:{ralign 8:1.851523}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:quintiles} = {res:{ralign 8:3.008055}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:female} = {res:{ralign 8:.498115}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edad} = {res:{ralign 8:2.852107}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:urban} = {res:{ralign 8:.714368}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:soct2r} = {res:{ralign 8:1.727717}} {txt:(mean)}
{lalign 9:136._at: }{space 0}{lalign 16:bgi_dec_fear_c~t} = {res:{ralign 8:8.9}}
{lalign 9:}{space 0}{lalign 16:black} = {res:{ralign 8:.0932962}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:indig} = {res:{ralign 8:.069394}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:mestizo} = {res:{ralign 8:.4893953}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:otroethn} = {res:{ralign 8:.022359}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:incum_voter} = {res:{ralign 8:.352078}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:cp6r} = {res:{ralign 8:1.348199}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edr} = {res:{ralign 8:1.851523}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:quintiles} = {res:{ralign 8:3.008055}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:female} = {res:{ralign 8:.498115}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edad} = {res:{ralign 8:2.852107}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:urban} = {res:{ralign 8:.714368}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:soct2r} = {res:{ralign 8:1.727717}} {txt:(mean)}
{lalign 9:137._at: }{space 0}{lalign 16:bgi_dec_fear_c~t} = {res:{ralign 8:9}}
{lalign 9:}{space 0}{lalign 16:black} = {res:{ralign 8:.0932962}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:indig} = {res:{ralign 8:.069394}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:mestizo} = {res:{ralign 8:.4893953}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:otroethn} = {res:{ralign 8:.022359}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:incum_voter} = {res:{ralign 8:.352078}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:cp6r} = {res:{ralign 8:1.348199}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edr} = {res:{ralign 8:1.851523}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:quintiles} = {res:{ralign 8:3.008055}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:female} = {res:{ralign 8:.498115}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edad} = {res:{ralign 8:2.852107}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:urban} = {res:{ralign 8:.714368}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:soct2r} = {res:{ralign 8:1.727717}} {txt:(mean)}
{lalign 9:138._at: }{space 0}{lalign 16:bgi_dec_fear_c~t} = {res:{ralign 8:9.1}}
{lalign 9:}{space 0}{lalign 16:black} = {res:{ralign 8:.0932962}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:indig} = {res:{ralign 8:.069394}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:mestizo} = {res:{ralign 8:.4893953}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:otroethn} = {res:{ralign 8:.022359}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:incum_voter} = {res:{ralign 8:.352078}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:cp6r} = {res:{ralign 8:1.348199}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edr} = {res:{ralign 8:1.851523}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:quintiles} = {res:{ralign 8:3.008055}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:female} = {res:{ralign 8:.498115}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edad} = {res:{ralign 8:2.852107}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:urban} = {res:{ralign 8:.714368}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:soct2r} = {res:{ralign 8:1.727717}} {txt:(mean)}
{lalign 9:139._at: }{space 0}{lalign 16:bgi_dec_fear_c~t} = {res:{ralign 8:9.2}}
{lalign 9:}{space 0}{lalign 16:black} = {res:{ralign 8:.0932962}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:indig} = {res:{ralign 8:.069394}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:mestizo} = {res:{ralign 8:.4893953}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:otroethn} = {res:{ralign 8:.022359}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:incum_voter} = {res:{ralign 8:.352078}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:cp6r} = {res:{ralign 8:1.348199}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edr} = {res:{ralign 8:1.851523}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:quintiles} = {res:{ralign 8:3.008055}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:female} = {res:{ralign 8:.498115}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edad} = {res:{ralign 8:2.852107}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:urban} = {res:{ralign 8:.714368}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:soct2r} = {res:{ralign 8:1.727717}} {txt:(mean)}
{lalign 9:140._at: }{space 0}{lalign 16:bgi_dec_fear_c~t} = {res:{ralign 8:9.3}}
{lalign 9:}{space 0}{lalign 16:black} = {res:{ralign 8:.0932962}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:indig} = {res:{ralign 8:.069394}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:mestizo} = {res:{ralign 8:.4893953}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:otroethn} = {res:{ralign 8:.022359}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:incum_voter} = {res:{ralign 8:.352078}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:cp6r} = {res:{ralign 8:1.348199}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edr} = {res:{ralign 8:1.851523}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:quintiles} = {res:{ralign 8:3.008055}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:female} = {res:{ralign 8:.498115}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edad} = {res:{ralign 8:2.852107}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:urban} = {res:{ralign 8:.714368}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:soct2r} = {res:{ralign 8:1.727717}} {txt:(mean)}
{lalign 9:141._at: }{space 0}{lalign 16:bgi_dec_fear_c~t} = {res:{ralign 8:9.4}}
{lalign 9:}{space 0}{lalign 16:black} = {res:{ralign 8:.0932962}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:indig} = {res:{ralign 8:.069394}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:mestizo} = {res:{ralign 8:.4893953}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:otroethn} = {res:{ralign 8:.022359}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:incum_voter} = {res:{ralign 8:.352078}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:cp6r} = {res:{ralign 8:1.348199}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edr} = {res:{ralign 8:1.851523}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:quintiles} = {res:{ralign 8:3.008055}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:female} = {res:{ralign 8:.498115}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edad} = {res:{ralign 8:2.852107}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:urban} = {res:{ralign 8:.714368}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:soct2r} = {res:{ralign 8:1.727717}} {txt:(mean)}

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{txt}{space 8}141  {c |}{col 14}{res}{space 2} 4.692387{col 26}{space 2} .0886517{col 37}{space 1}   52.93{col 46}{space 3}0.000{col 54}{space 4} 4.518633{col 67}{space 3} 4.866141
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. est store bgieffect
{txt}
{com}. marginsplot, ///
>         plotopts(mcolor(none) lcolor(black)) recastci(rarea) ///
>         ciopts(fcolor(gs15) lcolor(gs15)) level(90) ///
>         title("") xtitle("") xlabel(`minbgi'(1.5)`maxbgi') ///
>         xtitle("Between Group Inequality (mean-centered)") ///
>         ytitle("Predicted Support for Democracy") ///
>         graphregion(color(gs15)) scale(1.2)
{res}
{text}{p 0 0 2}Variables that uniquely identify margins: {bf:bgi_dec_fear_cent}{p_end}
{res}{txt}
{com}. graph save "bgiEffectPoP.gph", replace
{res}{txt}file {bf:bgiEffectPoP.gph} saved

{com}. graph export "bgiEffectPoP.pdf", as(pdf) replace
{txt}{p 0 4 2}
file {bf}
bgiEffectPoP.pdf{rm}
saved as
PDF
format
{p_end}

{com}. 
. // Alternate two-way fixed effects:
. regress ing4 c.bgi_dec_fear_cent black indig mestizo otroethn incum_voter cp6r edr quintile female edad urban soct2r i.pais i.year [pweight=weight1500], vce(robust)
{txt}(sum of wgt is 128,445.583314932)

Linear regression                               Number of obs     = {res}   142,430
                                                {txt}F(35, 142394)     =  {res}   388.68
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.0803
                                                {txt}Root MSE          =    {res} 1.6682

{txt}{hline 18}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 19}{c |}{col 31}    Robust
{col 1}             ing4{col 19}{c |} Coefficient{col 31}  std. err.{col 43}      t{col 51}   P>|t|{col 59}     [95% con{col 72}f. interval]
{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
bgi_dec_fear_cent {c |}{col 19}{res}{space 2}-.0217059{col 31}{space 2} .0056399{col 42}{space 1}   -3.85{col 51}{space 3}0.000{col 59}{space 4}-.0327599{col 72}{space 3}-.0106518
{txt}{space 12}black {c |}{col 19}{res}{space 2}  .007786{col 31}{space 2}  .019502{col 42}{space 1}    0.40{col 51}{space 3}0.690{col 59}{space 4}-.0304376{col 72}{space 3} .0460095
{txt}{space 12}indig {c |}{col 19}{res}{space 2}-.0245173{col 31}{space 2} .0215788{col 42}{space 1}   -1.14{col 51}{space 3}0.256{col 59}{space 4}-.0668113{col 72}{space 3} .0177766
{txt}{space 10}mestizo {c |}{col 19}{res}{space 2} .0347972{col 31}{space 2}  .011669{col 42}{space 1}    2.98{col 51}{space 3}0.003{col 59}{space 4} .0119262{col 72}{space 3} .0576683
{txt}{space 9}otroethn {c |}{col 19}{res}{space 2}-.0949317{col 31}{space 2} .0331346{col 42}{space 1}   -2.87{col 51}{space 3}0.004{col 59}{space 4}-.1598749{col 72}{space 3}-.0299884
{txt}{space 6}incum_voter {c |}{col 19}{res}{space 2} .1420216{col 31}{space 2} .0098225{col 42}{space 1}   14.46{col 51}{space 3}0.000{col 59}{space 4} .1227696{col 72}{space 3} .1612735
{txt}{space 13}cp6r {c |}{col 19}{res}{space 2} .0226805{col 31}{space 2}  .003773{col 42}{space 1}    6.01{col 51}{space 3}0.000{col 59}{space 4} .0152854{col 72}{space 3} .0300755
{txt}{space 14}edr {c |}{col 19}{res}{space 2} .1777538{col 31}{space 2} .0072065{col 42}{space 1}   24.67{col 51}{space 3}0.000{col 59}{space 4} .1636292{col 72}{space 3} .1918784
{txt}{space 8}quintiles {c |}{col 19}{res}{space 2} .0422127{col 31}{space 2} .0038033{col 42}{space 1}   11.10{col 51}{space 3}0.000{col 59}{space 4} .0347584{col 72}{space 3}  .049667
{txt}{space 11}female {c |}{col 19}{res}{space 2}-.0551311{col 31}{space 2} .0092908{col 42}{space 1}   -5.93{col 51}{space 3}0.000{col 59}{space 4}-.0733408{col 72}{space 3}-.0369214
{txt}{space 13}edad {c |}{col 19}{res}{space 2} .0989189{col 31}{space 2} .0032098{col 42}{space 1}   30.82{col 51}{space 3}0.000{col 59}{space 4} .0926277{col 72}{space 3} .1052101
{txt}{space 12}urban {c |}{col 19}{res}{space 2}  -.07464{col 31}{space 2} .0114988{col 42}{space 1}   -6.49{col 51}{space 3}0.000{col 59}{space 4}-.0971773{col 72}{space 3}-.0521026
{txt}{space 11}soct2r {c |}{col 19}{res}{space 2} .1649609{col 31}{space 2} .0066603{col 42}{space 1}   24.77{col 51}{space 3}0.000{col 59}{space 4} .1519069{col 72}{space 3} .1780149
{txt}{space 17} {c |}
{space 13}pais {c |}
{space 15}2  {c |}{col 19}{res}{space 2}-.1102582{col 31}{space 2} .0278053{col 42}{space 1}   -3.97{col 51}{space 3}0.000{col 59}{space 4}-.1647561{col 72}{space 3}-.0557604
{txt}{space 15}3  {c |}{col 19}{res}{space 2}-.2612248{col 31}{space 2} .0519452{col 42}{space 1}   -5.03{col 51}{space 3}0.000{col 59}{space 4}-.3630365{col 72}{space 3}-.1594132
{txt}{space 15}4  {c |}{col 19}{res}{space 2}-.4144023{col 31}{space 2} .0507106{col 42}{space 1}   -8.17{col 51}{space 3}0.000{col 59}{space 4}-.5137941{col 72}{space 3}-.3150106
{txt}{space 15}5  {c |}{col 19}{res}{space 2}-.0505755{col 31}{space 2} .0495853{col 42}{space 1}   -1.02{col 51}{space 3}0.308{col 59}{space 4}-.1477618{col 72}{space 3} .0466107
{txt}{space 15}6  {c |}{col 19}{res}{space 2}  .407233{col 31}{space 2} .0531163{col 42}{space 1}    7.67{col 51}{space 3}0.000{col 59}{space 4} .3031261{col 72}{space 3} .5113399
{txt}{space 15}7  {c |}{col 19}{res}{space 2}-.1875424{col 31}{space 2} .0399616{col 42}{space 1}   -4.69{col 51}{space 3}0.000{col 59}{space 4}-.2658663{col 72}{space 3}-.1092185
{txt}{space 15}8  {c |}{col 19}{res}{space 2} .0154563{col 31}{space 2} .0409958{col 42}{space 1}    0.38{col 51}{space 3}0.706{col 59}{space 4}-.0648948{col 72}{space 3} .0958073
{txt}{space 15}9  {c |}{col 19}{res}{space 2}-.1738976{col 31}{space 2} .0408467{col 42}{space 1}   -4.26{col 51}{space 3}0.000{col 59}{space 4}-.2539562{col 72}{space 3}-.0938389
{txt}{space 14}10  {c |}{col 19}{res}{space 2}-.0639271{col 31}{space 2} .0260409{col 42}{space 1}   -2.45{col 51}{space 3}0.014{col 59}{space 4}-.1149668{col 72}{space 3}-.0128873
{txt}{space 14}11  {c |}{col 19}{res}{space 2}-.3778756{col 31}{space 2} .0255942{col 42}{space 1}  -14.76{col 51}{space 3}0.000{col 59}{space 4}-.4280398{col 72}{space 3}-.3277114
{txt}{space 14}12  {c |}{col 19}{res}{space 2}-.3936093{col 31}{space 2}  .055754{col 42}{space 1}   -7.06{col 51}{space 3}0.000{col 59}{space 4} -.502886{col 72}{space 3}-.2843326
{txt}{space 14}13  {c |}{col 19}{res}{space 2} .1196418{col 31}{space 2} .0460628{col 42}{space 1}    2.60{col 51}{space 3}0.009{col 59}{space 4} .0293596{col 72}{space 3}  .209924
{txt}{space 14}14  {c |}{col 19}{res}{space 2} .7901716{col 31}{space 2} .0489662{col 42}{space 1}   16.14{col 51}{space 3}0.000{col 59}{space 4} .6941989{col 72}{space 3} .8861443
{txt}{space 14}15  {c |}{col 19}{res}{space 2} -.026209{col 31}{space 2} .0348936{col 42}{space 1}   -0.75{col 51}{space 3}0.453{col 59}{space 4}-.0945998{col 72}{space 3} .0421819
{txt}{space 14}17  {c |}{col 19}{res}{space 2} .7624065{col 31}{space 2} .0504396{col 42}{space 1}   15.12{col 51}{space 3}0.000{col 59}{space 4} .6635459{col 72}{space 3} .8612671
{txt}{space 14}21  {c |}{col 19}{res}{space 2} .0848773{col 31}{space 2} .0512328{col 42}{space 1}    1.66{col 51}{space 3}0.098{col 59}{space 4} -.015538{col 72}{space 3} .1852926
{txt}{space 17} {c |}
{space 13}year {c |}
{space 12}2006  {c |}{col 19}{res}{space 2} .0910313{col 31}{space 2} .0325655{col 42}{space 1}    2.80{col 51}{space 3}0.005{col 59}{space 4} .0272035{col 72}{space 3} .1548592
{txt}{space 12}2008  {c |}{col 19}{res}{space 2} .2386614{col 31}{space 2} .0330304{col 42}{space 1}    7.23{col 51}{space 3}0.000{col 59}{space 4} .1739224{col 72}{space 3} .3034004
{txt}{space 12}2010  {c |}{col 19}{res}{space 2} .1756495{col 31}{space 2} .0328812{col 42}{space 1}    5.34{col 51}{space 3}0.000{col 59}{space 4} .1112029{col 72}{space 3} .2400961
{txt}{space 12}2012  {c |}{col 19}{res}{space 2} .1270509{col 31}{space 2} .0332565{col 42}{space 1}    3.82{col 51}{space 3}0.000{col 59}{space 4} .0618688{col 72}{space 3}  .192233
{txt}{space 12}2014  {c |}{col 19}{res}{space 2} .0992915{col 31}{space 2} .0327693{col 42}{space 1}    3.03{col 51}{space 3}0.002{col 59}{space 4} .0350643{col 72}{space 3} .1635187
{txt}{space 12}2016  {c |}{col 19}{res}{space 2}-.2615243{col 31}{space 2} .0330328{col 42}{space 1}   -7.92{col 51}{space 3}0.000{col 59}{space 4}-.3262679{col 72}{space 3}-.1967808
{txt}{space 17} {c |}
{space 12}_cons {c |}{col 19}{res}{space 2}  3.99982{col 31}{space 2}  .049308{col 42}{space 1}   81.12{col 51}{space 3}0.000{col 59}{space 4} 3.903177{col 72}{space 3} 4.096462
{txt}{hline 18}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. estimates store fe1
{txt}
{com}. 
. // Alternate controlling for inequality
. 
. mixed ing4 c.bgi_dec_fear_cent gini black indig mestizo otroethn incum_voter cp6r edr quintile female edad urban soct2r [pweight=weight1500] || country_year:, cov(independent)
{txt}{p 0 6}note: single-variable random-{txt}effects specification in {inp:country_year} equation; covariance structure set to {inp:identity}.{p_end}
{res}
{txt}Obtaining starting values by EM ...
{res}
{txt}Performing gradient-based optimization: {res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-242188.71}  
Iteration 1:{space 3}log pseudolikelihood = {res:-242188.71}  
{res}
{txt}Computing standard errors ...
{res}
{txt}Mixed-effects regression{col 49}Number of obs{col 67}={col 69}{res}   139,658
{txt}Group variable: {res}country_year{col 49}{txt}Number of groups{col 67}={col 69}{res}        93
{txt}{col 49}Obs per group:
{col 63}min{col 67}={col 69}{res}       996
{txt}{col 63}avg{col 67}={col 69}{res}   1,501.7
{txt}{col 63}max{col 67}={col 69}{res}     2,893
{col 49}{txt}Wald chi2({res}14{txt}){col 67}={col 70}{res}   671.89
{txt}Log pseudolikelihood = {res}-242188.71{col 49}{txt}Prob > chi2{col 67}={col 73}{res}0.0000

{txt}{ralign 83:(Std. err. adjusted for {res:93} clusters in {res:country_year})}
{hline 18}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 19}{c |}{col 31}    Robust
{col 1}             ing4{col 19}{c |} Coefficient{col 31}  std. err.{col 43}      z{col 51}   P>|z|{col 59}     [95% con{col 72}f. interval]
{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
bgi_dec_fear_cent {c |}{col 19}{res}{space 2}-.0326467{col 31}{space 2} .0097731{col 42}{space 1}   -3.34{col 51}{space 3}0.001{col 59}{space 4}-.0518017{col 72}{space 3}-.0134917
{txt}{space 13}gini {c |}{col 19}{res}{space 2}-.0464905{col 31}{space 2} .0126377{col 42}{space 1}   -3.68{col 51}{space 3}0.000{col 59}{space 4}  -.07126{col 72}{space 3} -.021721
{txt}{space 12}black {c |}{col 19}{res}{space 2}-.0219267{col 31}{space 2}  .030219{col 42}{space 1}   -0.73{col 51}{space 3}0.468{col 59}{space 4}-.0811548{col 72}{space 3} .0373014
{txt}{space 12}indig {c |}{col 19}{res}{space 2}-.0437381{col 31}{space 2} .0321903{col 42}{space 1}   -1.36{col 51}{space 3}0.174{col 59}{space 4}  -.10683{col 72}{space 3} .0193538
{txt}{space 10}mestizo {c |}{col 19}{res}{space 2} .0259821{col 31}{space 2} .0182415{col 42}{space 1}    1.42{col 51}{space 3}0.154{col 59}{space 4}-.0097706{col 72}{space 3} .0617348
{txt}{space 9}otroethn {c |}{col 19}{res}{space 2}-.1051231{col 31}{space 2} .0409803{col 42}{space 1}   -2.57{col 51}{space 3}0.010{col 59}{space 4} -.185443{col 72}{space 3}-.0248033
{txt}{space 6}incum_voter {c |}{col 19}{res}{space 2} .1393748{col 31}{space 2} .0179291{col 42}{space 1}    7.77{col 51}{space 3}0.000{col 59}{space 4} .1042345{col 72}{space 3} .1745152
{txt}{space 13}cp6r {c |}{col 19}{res}{space 2} .0203732{col 31}{space 2} .0081522{col 42}{space 1}    2.50{col 51}{space 3}0.012{col 59}{space 4} .0043951{col 72}{space 3} .0363512
{txt}{space 14}edr {c |}{col 19}{res}{space 2} .1750498{col 31}{space 2} .0128439{col 42}{space 1}   13.63{col 51}{space 3}0.000{col 59}{space 4} .1498763{col 72}{space 3} .2002233
{txt}{space 8}quintiles {c |}{col 19}{res}{space 2} .0425631{col 31}{space 2} .0072007{col 42}{space 1}    5.91{col 51}{space 3}0.000{col 59}{space 4} .0284501{col 72}{space 3} .0566761
{txt}{space 11}female {c |}{col 19}{res}{space 2}-.0538239{col 31}{space 2} .0128038{col 42}{space 1}   -4.20{col 51}{space 3}0.000{col 59}{space 4}-.0789188{col 72}{space 3} -.028729
{txt}{space 13}edad {c |}{col 19}{res}{space 2}  .100611{col 31}{space 2} .0066244{col 42}{space 1}   15.19{col 51}{space 3}0.000{col 59}{space 4} .0876275{col 72}{space 3} .1135946
{txt}{space 12}urban {c |}{col 19}{res}{space 2}-.0718388{col 31}{space 2} .0204412{col 42}{space 1}   -3.51{col 51}{space 3}0.000{col 59}{space 4}-.1119029{col 72}{space 3}-.0317747
{txt}{space 11}soct2r {c |}{col 19}{res}{space 2} .1505718{col 31}{space 2} .0112638{col 42}{space 1}   13.37{col 51}{space 3}0.000{col 59}{space 4} .1284951{col 72}{space 3} .1726486
{txt}{space 12}_cons {c |}{col 19}{res}{space 2} 6.261329{col 31}{space 2} .5867663{col 42}{space 1}   10.67{col 51}{space 3}0.000{col 59}{space 4} 5.111288{col 72}{space 3} 7.411369
{txt}{hline 18}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{txt}{hline 29}{c TT}{hline 48}
{col 30}{c |}{col 34}{col 46}Robust{col 63}
{col 3}Random-effects parameters{col 30}{c |}{col 34}Estimate{col 45}std. err.{col 59}[95% conf. interval]
{hline 29}{c +}{hline 48}
{res}country_year{txt}: Identity{col 30}{c |}
{space 18}var(_cons) {c |}{res}{col 33} .1474188{col 44} .0178458{col 58} .1162815{col 70} .1868941
{txt}{hline 29}{c +}{hline 48}
{col 16}var(Residual){col 30}{c |}{res}{col 33} 2.746387{col 44} .0554904{col 58} 2.639753{col 70} 2.857328
{txt}{hline 29}{c BT}{hline 48}

{p 0 9 2}Warning: Sampling weights were 
specified only at the first level 
in a multilevel model. If these weights are 
indicative of overall and not conditional 
inclusion probabilities, then 
{help mixed##sampling:results may be biased}.
{p_end}

{com}. estimates store demBestBgiGiniModel
{txt}
{com}. 
. // Alternate controlling for vdem liberal democraxy
. 
. mixed ing4 c.bgi_dec_fear_cent v2x_libdem black indig mestizo otroethn incum_voter cp6r edr quintile female edad urban soct2r [pweight=weight1500] || country_year:, cov(independent)
{txt}{p 0 6}note: single-variable random-{txt}effects specification in {inp:country_year} equation; covariance structure set to {inp:identity}.{p_end}
{res}
{txt}Obtaining starting values by EM ...
{res}
{txt}Performing gradient-based optimization: {res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-247334.29}  
Iteration 1:{space 3}log pseudolikelihood = {res:-247334.29}  
{res}
{txt}Computing standard errors ...
{res}
{txt}Mixed-effects regression{col 49}Number of obs{col 67}={col 69}{res}   142,430
{txt}Group variable: {res}country_year{col 49}{txt}Number of groups{col 67}={col 69}{res}        95
{txt}{col 49}Obs per group:
{col 63}min{col 67}={col 69}{res}       996
{txt}{col 63}avg{col 67}={col 69}{res}   1,499.3
{txt}{col 63}max{col 67}={col 69}{res}     2,893
{col 49}{txt}Wald chi2({res}14{txt}){col 67}={col 70}{res}   683.65
{txt}Log pseudolikelihood = {res}-247334.29{col 49}{txt}Prob > chi2{col 67}={col 73}{res}0.0000

{txt}{ralign 83:(Std. err. adjusted for {res:95} clusters in {res:country_year})}
{hline 18}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 19}{c |}{col 31}    Robust
{col 1}             ing4{col 19}{c |} Coefficient{col 31}  std. err.{col 43}      z{col 51}   P>|z|{col 59}     [95% con{col 72}f. interval]
{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
bgi_dec_fear_cent {c |}{col 19}{res}{space 2}-.0416639{col 31}{space 2}  .009427{col 42}{space 1}   -4.42{col 51}{space 3}0.000{col 59}{space 4}-.0601405{col 72}{space 3}-.0231874
{txt}{space 7}v2x_libdem {c |}{col 19}{res}{space 2} .8923123{col 31}{space 2} .1727714{col 42}{space 1}    5.16{col 51}{space 3}0.000{col 59}{space 4} .5536867{col 72}{space 3} 1.230938
{txt}{space 12}black {c |}{col 19}{res}{space 2}-.0213306{col 31}{space 2}  .029844{col 42}{space 1}   -0.71{col 51}{space 3}0.475{col 59}{space 4}-.0798238{col 72}{space 3} .0371626
{txt}{space 12}indig {c |}{col 19}{res}{space 2}-.0436433{col 31}{space 2} .0309367{col 42}{space 1}   -1.41{col 51}{space 3}0.158{col 59}{space 4}-.1042782{col 72}{space 3} .0169915
{txt}{space 10}mestizo {c |}{col 19}{res}{space 2} .0289966{col 31}{space 2} .0179779{col 42}{space 1}    1.61{col 51}{space 3}0.107{col 59}{space 4}-.0062393{col 72}{space 3} .0642326
{txt}{space 9}otroethn {c |}{col 19}{res}{space 2}-.0980186{col 31}{space 2} .0393019{col 42}{space 1}   -2.49{col 51}{space 3}0.013{col 59}{space 4}-.1750488{col 72}{space 3}-.0209884
{txt}{space 6}incum_voter {c |}{col 19}{res}{space 2} .1385353{col 31}{space 2}  .017662{col 42}{space 1}    7.84{col 51}{space 3}0.000{col 59}{space 4} .1039184{col 72}{space 3} .1731523
{txt}{space 13}cp6r {c |}{col 19}{res}{space 2} .0204249{col 31}{space 2} .0080042{col 42}{space 1}    2.55{col 51}{space 3}0.011{col 59}{space 4} .0047369{col 72}{space 3} .0361129
{txt}{space 14}edr {c |}{col 19}{res}{space 2} .1748245{col 31}{space 2} .0126478{col 42}{space 1}   13.82{col 51}{space 3}0.000{col 59}{space 4} .1500353{col 72}{space 3} .1996137
{txt}{space 8}quintiles {c |}{col 19}{res}{space 2} .0426937{col 31}{space 2} .0070674{col 42}{space 1}    6.04{col 51}{space 3}0.000{col 59}{space 4} .0288418{col 72}{space 3} .0565456
{txt}{space 11}female {c |}{col 19}{res}{space 2}-.0556168{col 31}{space 2} .0126956{col 42}{space 1}   -4.38{col 51}{space 3}0.000{col 59}{space 4}-.0804997{col 72}{space 3} -.030734
{txt}{space 13}edad {c |}{col 19}{res}{space 2} .0999541{col 31}{space 2} .0065286{col 42}{space 1}   15.31{col 51}{space 3}0.000{col 59}{space 4} .0871582{col 72}{space 3}   .11275
{txt}{space 12}urban {c |}{col 19}{res}{space 2}-.0720309{col 31}{space 2} .0199543{col 42}{space 1}   -3.61{col 51}{space 3}0.000{col 59}{space 4}-.1111406{col 72}{space 3}-.0329212
{txt}{space 11}soct2r {c |}{col 19}{res}{space 2} .1519245{col 31}{space 2} .0110738{col 42}{space 1}   13.72{col 51}{space 3}0.000{col 59}{space 4} .1302202{col 72}{space 3} .1736288
{txt}{space 12}_cons {c |}{col 19}{res}{space 2} 3.632223{col 31}{space 2} .1214823{col 42}{space 1}   29.90{col 51}{space 3}0.000{col 59}{space 4} 3.394122{col 72}{space 3} 3.870324
{txt}{hline 18}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{txt}{hline 29}{c TT}{hline 48}
{col 30}{c |}{col 34}{col 46}Robust{col 63}
{col 3}Random-effects parameters{col 30}{c |}{col 34}Estimate{col 45}std. err.{col 59}[95% conf. interval]
{hline 29}{c +}{hline 48}
{res}country_year{txt}: Identity{col 30}{c |}
{space 18}var(_cons) {c |}{res}{col 33} .1418222{col 44} .0180801{col 58} .1104662{col 70} .1820786
{txt}{hline 29}{c +}{hline 48}
{col 16}var(Residual){col 30}{c |}{res}{col 33} 2.746053{col 44} .0543503{col 58} 2.641568{col 70} 2.854671
{txt}{hline 29}{c BT}{hline 48}

{p 0 9 2}Warning: Sampling weights were 
specified only at the first level 
in a multilevel model. If these weights are 
indicative of overall and not conditional 
inclusion probabilities, then 
{help mixed##sampling:results may be biased}.
{p_end}

{com}. estimates store demBestBgiLibdemModel
{txt}
{com}. 
. // Alternate controlling for ethnic fractionalization
. 
. mixed ing4 c.bgi_dec_fear_cent fe_etfra black indig mestizo otroethn incum_voter cp6r edr quintile female edad urban soct2r [pweight=weight1500] || country_year:, cov(independent)
{txt}{p 0 6}note: single-variable random-{txt}effects specification in {inp:country_year} equation; covariance structure set to {inp:identity}.{p_end}
{res}
{txt}Obtaining starting values by EM ...
{res}
{txt}Performing gradient-based optimization: {res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-247343.75}  
Iteration 1:{space 3}log pseudolikelihood = {res:-247343.75}  (backed up)
{res}
{txt}Computing standard errors ...
{res}
{txt}Mixed-effects regression{col 49}Number of obs{col 67}={col 69}{res}   142,430
{txt}Group variable: {res}country_year{col 49}{txt}Number of groups{col 67}={col 69}{res}        95
{txt}{col 49}Obs per group:
{col 63}min{col 67}={col 69}{res}       996
{txt}{col 63}avg{col 67}={col 69}{res}   1,499.3
{txt}{col 63}max{col 67}={col 69}{res}     2,893
{col 49}{txt}Wald chi2({res}14{txt}){col 67}={col 70}{res}   719.72
{txt}Log pseudolikelihood = {res}-247343.75{col 49}{txt}Prob > chi2{col 67}={col 73}{res}0.0000

{txt}{ralign 83:(Std. err. adjusted for {res:95} clusters in {res:country_year})}
{hline 18}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 19}{c |}{col 31}    Robust
{col 1}             ing4{col 19}{c |} Coefficient{col 31}  std. err.{col 43}      z{col 51}   P>|z|{col 59}     [95% con{col 72}f. interval]
{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
bgi_dec_fear_cent {c |}{col 19}{res}{space 2}-.0377193{col 31}{space 2}  .013084{col 42}{space 1}   -2.88{col 51}{space 3}0.004{col 59}{space 4}-.0633635{col 72}{space 3}-.0120751
{txt}{space 9}fe_etfra {c |}{col 19}{res}{space 2}-.1755732{col 31}{space 2} .3501685{col 42}{space 1}   -0.50{col 51}{space 3}0.616{col 59}{space 4}-.8618909{col 72}{space 3} .5107445
{txt}{space 12}black {c |}{col 19}{res}{space 2}-.0213049{col 31}{space 2} .0298448{col 42}{space 1}   -0.71{col 51}{space 3}0.475{col 59}{space 4}-.0797997{col 72}{space 3} .0371899
{txt}{space 12}indig {c |}{col 19}{res}{space 2}-.0452879{col 31}{space 2} .0309103{col 42}{space 1}   -1.47{col 51}{space 3}0.143{col 59}{space 4}-.1058709{col 72}{space 3} .0152951
{txt}{space 10}mestizo {c |}{col 19}{res}{space 2} .0275103{col 31}{space 2}  .018055{col 42}{space 1}    1.52{col 51}{space 3}0.128{col 59}{space 4}-.0078768{col 72}{space 3} .0628975
{txt}{space 9}otroethn {c |}{col 19}{res}{space 2}-.0984264{col 31}{space 2} .0392419{col 42}{space 1}   -2.51{col 51}{space 3}0.012{col 59}{space 4}-.1753391{col 72}{space 3}-.0215137
{txt}{space 6}incum_voter {c |}{col 19}{res}{space 2} .1383504{col 31}{space 2} .0176527{col 42}{space 1}    7.84{col 51}{space 3}0.000{col 59}{space 4} .1037518{col 72}{space 3}  .172949
{txt}{space 13}cp6r {c |}{col 19}{res}{space 2} .0201169{col 31}{space 2} .0079966{col 42}{space 1}    2.52{col 51}{space 3}0.012{col 59}{space 4} .0044439{col 72}{space 3} .0357899
{txt}{space 14}edr {c |}{col 19}{res}{space 2} .1755963{col 31}{space 2}   .01266{col 42}{space 1}   13.87{col 51}{space 3}0.000{col 59}{space 4} .1507831{col 72}{space 3} .2004095
{txt}{space 8}quintiles {c |}{col 19}{res}{space 2} .0424076{col 31}{space 2} .0070578{col 42}{space 1}    6.01{col 51}{space 3}0.000{col 59}{space 4} .0285746{col 72}{space 3} .0562406
{txt}{space 11}female {c |}{col 19}{res}{space 2}-.0554927{col 31}{space 2} .0127045{col 42}{space 1}   -4.37{col 51}{space 3}0.000{col 59}{space 4} -.080393{col 72}{space 3}-.0305924
{txt}{space 13}edad {c |}{col 19}{res}{space 2} .1002214{col 31}{space 2} .0065342{col 42}{space 1}   15.34{col 51}{space 3}0.000{col 59}{space 4} .0874146{col 72}{space 3} .1130282
{txt}{space 12}urban {c |}{col 19}{res}{space 2}-.0713242{col 31}{space 2} .0199379{col 42}{space 1}   -3.58{col 51}{space 3}0.000{col 59}{space 4}-.1104018{col 72}{space 3}-.0322467
{txt}{space 11}soct2r {c |}{col 19}{res}{space 2} .1522089{col 31}{space 2} .0110874{col 42}{space 1}   13.73{col 51}{space 3}0.000{col 59}{space 4} .1304779{col 72}{space 3} .1739399
{txt}{space 12}_cons {c |}{col 19}{res}{space 2} 4.184818{col 31}{space 2} .1738724{col 42}{space 1}   24.07{col 51}{space 3}0.000{col 59}{space 4} 3.844034{col 72}{space 3} 4.525601
{txt}{hline 18}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{txt}{hline 29}{c TT}{hline 48}
{col 30}{c |}{col 34}{col 46}Robust{col 63}
{col 3}Random-effects parameters{col 30}{c |}{col 34}Estimate{col 45}std. err.{col 59}[95% conf. interval]
{hline 29}{c +}{hline 48}
{res}country_year{txt}: Identity{col 30}{c |}
{space 18}var(_cons) {c |}{res}{col 33} .1733575{col 44}  .022413{col 58} .1345527{col 70} .2233535
{txt}{hline 29}{c +}{hline 48}
{col 16}var(Residual){col 30}{c |}{res}{col 33} 2.746055{col 44} .0543518{col 58} 2.641567{col 70} 2.854676
{txt}{hline 29}{c BT}{hline 48}

{p 0 9 2}Warning: Sampling weights were 
specified only at the first level 
in a multilevel model. If these weights are 
indicative of overall and not conditional 
inclusion probabilities, then 
{help mixed##sampling:results may be biased}.
{p_end}

{com}. estimates store demBestBgiEFModel
{txt}
{com}. 
. // Alternate no i-level controls
. 
. mixed ing4 c.bgi_dec_fear_cent [pweight=weight1500] || country_year:, cov(independent)
{txt}{p 0 6}note: single-variable random-{txt}effects specification in {inp:country_year} equation; covariance structure set to {inp:identity}.{p_end}
{res}
{txt}Obtaining starting values by EM ...
{res}
{txt}Performing gradient-based optimization: {res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-278952.42}  
Iteration 1:{space 3}log pseudolikelihood = {res:-278952.42}  
{res}
{txt}Computing standard errors ...
{res}
{txt}Mixed-effects regression{col 49}Number of obs{col 67}={col 69}{res}   158,757
{txt}Group variable: {res}country_year{col 49}{txt}Number of groups{col 67}={col 69}{res}       101
{txt}{col 49}Obs per group:
{col 63}min{col 67}={col 69}{res}     1,092
{txt}{col 63}avg{col 67}={col 69}{res}   1,571.9
{txt}{col 63}max{col 67}={col 69}{res}     2,994
{col 49}{txt}Wald chi2({res}1{txt}){col 67}={col 70}{res}    19.88
{txt}Log pseudolikelihood = {res}-278952.42{col 49}{txt}Prob > chi2{col 67}={col 73}{res}0.0000

{txt}{ralign 83:(Std. err. adjusted for {res:101} clusters in {res:country_year})}
{hline 18}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 19}{c |}{col 31}    Robust
{col 1}             ing4{col 19}{c |} Coefficient{col 31}  std. err.{col 43}      z{col 51}   P>|z|{col 59}     [95% con{col 72}f. interval]
{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
bgi_dec_fear_cent {c |}{col 19}{res}{space 2}-.0453349{col 31}{space 2} .0101688{col 42}{space 1}   -4.46{col 51}{space 3}0.000{col 59}{space 4}-.0652654{col 72}{space 3}-.0254044
{txt}{space 12}_cons {c |}{col 19}{res}{space 2} 5.099907{col 31}{space 2} .0417419{col 42}{space 1}  122.18{col 51}{space 3}0.000{col 59}{space 4} 5.018094{col 72}{space 3} 5.181719
{txt}{hline 18}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{txt}{hline 29}{c TT}{hline 48}
{col 30}{c |}{col 34}{col 46}Robust{col 63}
{col 3}Random-effects parameters{col 30}{c |}{col 34}Estimate{col 45}std. err.{col 59}[95% conf. interval]
{hline 29}{c +}{hline 48}
{res}country_year{txt}: Identity{col 30}{c |}
{space 18}var(_cons) {c |}{res}{col 33} .1905241{col 44} .0252118{col 58}  .146998{col 70} .2469383
{txt}{hline 29}{c +}{hline 48}
{col 16}var(Residual){col 30}{c |}{res}{col 33} 2.841051{col 44} .0530333{col 58} 2.738987{col 70}  2.94692
{txt}{hline 29}{c BT}{hline 48}

{p 0 9 2}Warning: Sampling weights were 
specified only at the first level 
in a multilevel model. If these weights are 
indicative of overall and not conditional 
inclusion probabilities, then 
{help mixed##sampling:results may be biased}.
{p_end}

{com}. estimates store demBestBgiNoIlevelModel
{txt}
{com}. 
. // High Democracy Countries
. 
. mixed ing4 c.bgi_dec_fear_cent black indig mestizo otroethn incum_voter cp6r edr quintile female edad urban soct2r [pweight=weight1500] if pais==17 | pais==13 | pais==8 | pais==6 | pais==14 || country_year:, cov(independent) // Argentina, Colombia, Chile, Costa Rica, Uruguay
{txt}{p 0 6}note: single-variable random-{txt}effects specification in {inp:country_year} equation; covariance structure set to {inp:identity}.{p_end}
{res}
{txt}Obtaining starting values by EM ...
{res}
{txt}Performing gradient-based optimization: {res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-73218.368}  
Iteration 1:{space 3}log pseudolikelihood = {res:-73218.368}  (backed up)
{res}
{txt}Computing standard errors ...
{res}
{txt}Mixed-effects regression{col 49}Number of obs{col 67}={col 69}{res}    40,086
{txt}Group variable: {res}country_year{col 49}{txt}Number of groups{col 67}={col 69}{res}        29
{txt}{col 49}Obs per group:
{col 63}min{col 67}={col 69}{res}     1,117
{txt}{col 63}avg{col 67}={col 69}{res}   1,382.3
{txt}{col 63}max{col 67}={col 69}{res}     1,798
{col 49}{txt}Wald chi2({res}13{txt}){col 67}={col 70}{res}   413.14
{txt}Log pseudolikelihood = {res}-73218.368{col 49}{txt}Prob > chi2{col 67}={col 73}{res}0.0000

{txt}{ralign 83:(Std. err. adjusted for {res:29} clusters in {res:country_year})}
{hline 18}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 19}{c |}{col 31}    Robust
{col 1}             ing4{col 19}{c |} Coefficient{col 31}  std. err.{col 43}      z{col 51}   P>|z|{col 59}     [95% con{col 72}f. interval]
{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
bgi_dec_fear_cent {c |}{col 19}{res}{space 2}-.1311679{col 31}{space 2} .0488251{col 42}{space 1}   -2.69{col 51}{space 3}0.007{col 59}{space 4}-.2268634{col 72}{space 3}-.0354724
{txt}{space 12}black {c |}{col 19}{res}{space 2}-.1675756{col 31}{space 2} .0480568{col 42}{space 1}   -3.49{col 51}{space 3}0.000{col 59}{space 4}-.2617653{col 72}{space 3}-.0733859
{txt}{space 12}indig {c |}{col 19}{res}{space 2}-.0751564{col 31}{space 2} .0580606{col 42}{space 1}   -1.29{col 51}{space 3}0.196{col 59}{space 4} -.188953{col 72}{space 3} .0386403
{txt}{space 10}mestizo {c |}{col 19}{res}{space 2}-.0075661{col 31}{space 2} .0350092{col 42}{space 1}   -0.22{col 51}{space 3}0.829{col 59}{space 4}-.0761829{col 72}{space 3} .0610508
{txt}{space 9}otroethn {c |}{col 19}{res}{space 2}-.1449941{col 31}{space 2} .0540907{col 42}{space 1}   -2.68{col 51}{space 3}0.007{col 59}{space 4}-.2510099{col 72}{space 3}-.0389783
{txt}{space 6}incum_voter {c |}{col 19}{res}{space 2} .1843005{col 31}{space 2} .0283634{col 42}{space 1}    6.50{col 51}{space 3}0.000{col 59}{space 4} .1287093{col 72}{space 3} .2398917
{txt}{space 13}cp6r {c |}{col 19}{res}{space 2} .0161726{col 31}{space 2} .0111912{col 42}{space 1}    1.45{col 51}{space 3}0.148{col 59}{space 4}-.0057617{col 72}{space 3} .0381068
{txt}{space 14}edr {c |}{col 19}{res}{space 2} .2188275{col 31}{space 2} .0209224{col 42}{space 1}   10.46{col 51}{space 3}0.000{col 59}{space 4} .1778204{col 72}{space 3} .2598346
{txt}{space 8}quintiles {c |}{col 19}{res}{space 2} .0495698{col 31}{space 2} .0117207{col 42}{space 1}    4.23{col 51}{space 3}0.000{col 59}{space 4} .0265977{col 72}{space 3}  .072542
{txt}{space 11}female {c |}{col 19}{res}{space 2}-.0601256{col 31}{space 2} .0236479{col 42}{space 1}   -2.54{col 51}{space 3}0.011{col 59}{space 4}-.1064746{col 72}{space 3}-.0137767
{txt}{space 13}edad {c |}{col 19}{res}{space 2} .1343112{col 31}{space 2} .0106537{col 42}{space 1}   12.61{col 51}{space 3}0.000{col 59}{space 4} .1134304{col 72}{space 3}  .155192
{txt}{space 12}urban {c |}{col 19}{res}{space 2}-.0647903{col 31}{space 2} .0336704{col 42}{space 1}   -1.92{col 51}{space 3}0.054{col 59}{space 4}-.1307831{col 72}{space 3} .0012024
{txt}{space 11}soct2r {c |}{col 19}{res}{space 2} .1393191{col 31}{space 2} .0219584{col 42}{space 1}    6.34{col 51}{space 3}0.000{col 59}{space 4} .0962814{col 72}{space 3} .1823567
{txt}{space 12}_cons {c |}{col 19}{res}{space 2} 4.040994{col 31}{space 2} .2080844{col 42}{space 1}   19.42{col 51}{space 3}0.000{col 59}{space 4} 3.633156{col 72}{space 3} 4.448832
{txt}{hline 18}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{txt}{hline 29}{c TT}{hline 48}
{col 30}{c |}{col 34}{col 46}Robust{col 63}
{col 3}Random-effects parameters{col 30}{c |}{col 34}Estimate{col 45}std. err.{col 59}[95% conf. interval]
{hline 29}{c +}{hline 48}
{res}country_year{txt}: Identity{col 30}{c |}
{space 18}var(_cons) {c |}{res}{col 33} .1186859{col 44} .0363282{col 58} .0651414{col 70} .2162425
{txt}{hline 29}{c +}{hline 48}
{col 16}var(Residual){col 30}{c |}{res}{col 33} 2.359198{col 44}  .076434{col 58} 2.214047{col 70} 2.513864
{txt}{hline 29}{c BT}{hline 48}

{p 0 9 2}Warning: Sampling weights were 
specified only at the first level 
in a multilevel model. If these weights are 
indicative of overall and not conditional 
inclusion probabilities, then 
{help mixed##sampling:results may be biased}.
{p_end}

{com}. estimates store demBestBgiHighDem
{txt}
{com}. 
. // Model 1b
. mixed ing4 c.v2pepwrsoc_rev black indig mestizo otroethn incum_voter cp6r edr quintile female edad urban soct2r [pweight=weight1500] || country_year:, cov(independent)
{txt}{p 0 6}note: single-variable random-{txt}effects specification in {inp:country_year} equation; covariance structure set to {inp:identity}.{p_end}
{res}
{txt}Obtaining starting values by EM ...
{res}
{txt}Performing gradient-based optimization: {res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-247330.51}  
Iteration 1:{space 3}log pseudolikelihood = {res:-247330.51}  
{res}
{txt}Computing standard errors ...
{res}
{txt}Mixed-effects regression{col 49}Number of obs{col 67}={col 69}{res}   142,430
{txt}Group variable: {res}country_year{col 49}{txt}Number of groups{col 67}={col 69}{res}        95
{txt}{col 49}Obs per group:
{col 63}min{col 67}={col 69}{res}       996
{txt}{col 63}avg{col 67}={col 69}{res}   1,499.3
{txt}{col 63}max{col 67}={col 69}{res}     2,893
{col 49}{txt}Wald chi2({res}13{txt}){col 67}={col 70}{res}   679.79
{txt}Log pseudolikelihood = {res}-247330.51{col 49}{txt}Prob > chi2{col 67}={col 73}{res}0.0000

{txt}{ralign 80:(Std. err. adjusted for {res:95} clusters in {res:country_year})}
{hline 15}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 16}{c |}{col 28}    Robust
{col 1}          ing4{col 16}{c |} Coefficient{col 28}  std. err.{col 40}      z{col 48}   P>|z|{col 56}     [95% con{col 69}f. interval]
{hline 15}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
v2pepwrsoc_rev {c |}{col 16}{res}{space 2}-.3278521{col 28}{space 2} .0459132{col 39}{space 1}   -7.14{col 48}{space 3}0.000{col 56}{space 4}-.4178403{col 69}{space 3}-.2378639
{txt}{space 9}black {c |}{col 16}{res}{space 2}-.0223954{col 28}{space 2}  .029791{col 39}{space 1}   -0.75{col 48}{space 3}0.452{col 56}{space 4}-.0807846{col 69}{space 3} .0359938
{txt}{space 9}indig {c |}{col 16}{res}{space 2}-.0444471{col 28}{space 2}  .030974{col 39}{space 1}   -1.43{col 48}{space 3}0.151{col 56}{space 4}-.1051551{col 69}{space 3} .0162609
{txt}{space 7}mestizo {c |}{col 16}{res}{space 2} .0284168{col 28}{space 2} .0179806{col 39}{space 1}    1.58{col 48}{space 3}0.114{col 56}{space 4}-.0068246{col 69}{space 3} .0636581
{txt}{space 6}otroethn {c |}{col 16}{res}{space 2}-.0981991{col 28}{space 2} .0392136{col 39}{space 1}   -2.50{col 48}{space 3}0.012{col 56}{space 4}-.1750564{col 69}{space 3}-.0213418
{txt}{space 3}incum_voter {c |}{col 16}{res}{space 2} .1384374{col 28}{space 2} .0176474{col 39}{space 1}    7.84{col 48}{space 3}0.000{col 56}{space 4}  .103849{col 69}{space 3} .1730257
{txt}{space 10}cp6r {c |}{col 16}{res}{space 2} .0204656{col 28}{space 2} .0079899{col 39}{space 1}    2.56{col 48}{space 3}0.010{col 56}{space 4} .0048057{col 69}{space 3} .0361255
{txt}{space 11}edr {c |}{col 16}{res}{space 2} .1748812{col 28}{space 2} .0126714{col 39}{space 1}   13.80{col 48}{space 3}0.000{col 56}{space 4} .1500457{col 69}{space 3} .1997166
{txt}{space 5}quintiles {c |}{col 16}{res}{space 2} .0426768{col 28}{space 2} .0070815{col 39}{space 1}    6.03{col 48}{space 3}0.000{col 56}{space 4} .0287973{col 69}{space 3} .0565564
{txt}{space 8}female {c |}{col 16}{res}{space 2}-.0556455{col 28}{space 2} .0126948{col 39}{space 1}   -4.38{col 48}{space 3}0.000{col 56}{space 4}-.0805269{col 69}{space 3}-.0307641
{txt}{space 10}edad {c |}{col 16}{res}{space 2} .0999197{col 28}{space 2} .0065282{col 39}{space 1}   15.31{col 48}{space 3}0.000{col 56}{space 4} .0871247{col 69}{space 3} .1127146
{txt}{space 9}urban {c |}{col 16}{res}{space 2}-.0723817{col 28}{space 2} .0199112{col 39}{space 1}   -3.64{col 48}{space 3}0.000{col 56}{space 4} -.111407{col 69}{space 3}-.0333564
{txt}{space 8}soct2r {c |}{col 16}{res}{space 2} .1519369{col 28}{space 2} .0110662{col 39}{space 1}   13.73{col 48}{space 3}0.000{col 56}{space 4} .1302476{col 69}{space 3} .1736262
{txt}{space 9}_cons {c |}{col 16}{res}{space 2} 3.827384{col 28}{space 2}  .090361{col 39}{space 1}   42.36{col 48}{space 3}0.000{col 56}{space 4}  3.65028{col 69}{space 3} 4.004489
{txt}{hline 15}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{txt}{hline 29}{c TT}{hline 48}
{col 30}{c |}{col 34}{col 46}Robust{col 63}
{col 3}Random-effects parameters{col 30}{c |}{col 34}Estimate{col 45}std. err.{col 59}[95% conf. interval]
{hline 29}{c +}{hline 48}
{res}country_year{txt}: Identity{col 30}{c |}
{space 18}var(_cons) {c |}{res}{col 33} .1308016{col 44} .0172082{col 58} .1010716{col 70} .1692766
{txt}{hline 29}{c +}{hline 48}
{col 16}var(Residual){col 30}{c |}{res}{col 33} 2.746053{col 44}  .054351{col 58} 2.641567{col 70} 2.854672
{txt}{hline 29}{c BT}{hline 48}

{p 0 9 2}Warning: Sampling weights were 
specified only at the first level 
in a multilevel model. If these weights are 
indicative of overall and not conditional 
inclusion probabilities, then 
{help mixed##sampling:results may be biased}.
{p_end}

{com}. estimates store demBestPolExMainModel
{txt}
{com}. 
. // Chart those effects, predicted values:
. 
. sum v2pepwrsoc_rev

{txt}    Variable {c |}        Obs        Mean    Std. dev.       Min        Max
{hline 13}{c +}{hline 57}
v2pepwrsoc~v {c |}{res}    180,356    -.906596    .7634617     -2.394       .627
{txt}
{com}. local minexcl=round(r(min),.1)
{txt}
{com}. local maxexcl=round(r(max),.1)
{txt}
{com}. estimates restore demBestPolExMainModel
{txt}(results {stata estimates replay demBestPolExMainModel:demBestPolExMainModel} are active now)

{com}. margins, atmeans at(v2pepwrsoc_rev=(`minexcl'(.1)`maxexcl')) post
{res}
{txt}{col 1}Adjusted predictions{col 56}{lalign 13:Number of obs}{col 69} = {res}{ralign 7:142,430}
{txt}{col 1}Model VCE: {res:Robust}

{txt}{p2colset 1 13 13 2}{...}
{p2col:Expression:}{res:Linear prediction, fixed portion, predict()}{p_end}
{p2colreset}{...}
{lalign 8:1._at: }{space 0}{lalign 14:v2pepwrsoc_rev} = {res:{ralign 8:-2.4}}
{lalign 8:}{space 0}{lalign 14:black} = {res:{ralign 8:.0932962}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:indig} = {res:{ralign 8:.069394}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:mestizo} = {res:{ralign 8:.4893953}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:otroethn} = {res:{ralign 8:.022359}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:incum_voter} = {res:{ralign 8:.352078}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:cp6r} = {res:{ralign 8:1.348199}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:edr} = {res:{ralign 8:1.851523}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:quintiles} = {res:{ralign 8:3.008055}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:female} = {res:{ralign 8:.498115}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:edad} = {res:{ralign 8:2.852107}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:urban} = {res:{ralign 8:.714368}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:soct2r} = {res:{ralign 8:1.727717}} {txt:(mean)}
{lalign 8:2._at: }{space 0}{lalign 14:v2pepwrsoc_rev} = {res:{ralign 8:-2.3}}
{lalign 8:}{space 0}{lalign 14:black} = {res:{ralign 8:.0932962}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:indig} = {res:{ralign 8:.069394}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:mestizo} = {res:{ralign 8:.4893953}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:otroethn} = {res:{ralign 8:.022359}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:incum_voter} = {res:{ralign 8:.352078}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:cp6r} = {res:{ralign 8:1.348199}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:edr} = {res:{ralign 8:1.851523}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:quintiles} = {res:{ralign 8:3.008055}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:female} = {res:{ralign 8:.498115}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:edad} = {res:{ralign 8:2.852107}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:urban} = {res:{ralign 8:.714368}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:soct2r} = {res:{ralign 8:1.727717}} {txt:(mean)}
{lalign 8:3._at: }{space 0}{lalign 14:v2pepwrsoc_rev} = {res:{ralign 8:-2.2}}
{lalign 8:}{space 0}{lalign 14:black} = {res:{ralign 8:.0932962}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:indig} = {res:{ralign 8:.069394}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:mestizo} = {res:{ralign 8:.4893953}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:otroethn} = {res:{ralign 8:.022359}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:incum_voter} = {res:{ralign 8:.352078}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:cp6r} = {res:{ralign 8:1.348199}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:edr} = {res:{ralign 8:1.851523}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:quintiles} = {res:{ralign 8:3.008055}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:female} = {res:{ralign 8:.498115}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:edad} = {res:{ralign 8:2.852107}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:urban} = {res:{ralign 8:.714368}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:soct2r} = {res:{ralign 8:1.727717}} {txt:(mean)}
{lalign 8:4._at: }{space 0}{lalign 14:v2pepwrsoc_rev} = {res:{ralign 8:-2.1}}
{lalign 8:}{space 0}{lalign 14:black} = {res:{ralign 8:.0932962}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:indig} = {res:{ralign 8:.069394}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:mestizo} = {res:{ralign 8:.4893953}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:otroethn} = {res:{ralign 8:.022359}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:incum_voter} = {res:{ralign 8:.352078}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:cp6r} = {res:{ralign 8:1.348199}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:edr} = {res:{ralign 8:1.851523}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:quintiles} = {res:{ralign 8:3.008055}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:female} = {res:{ralign 8:.498115}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:edad} = {res:{ralign 8:2.852107}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:urban} = {res:{ralign 8:.714368}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:soct2r} = {res:{ralign 8:1.727717}} {txt:(mean)}
{lalign 8:5._at: }{space 0}{lalign 14:v2pepwrsoc_rev} = {res:{ralign 8:-2}}
{lalign 8:}{space 0}{lalign 14:black} = {res:{ralign 8:.0932962}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:indig} = {res:{ralign 8:.069394}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:mestizo} = {res:{ralign 8:.4893953}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:otroethn} = {res:{ralign 8:.022359}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:incum_voter} = {res:{ralign 8:.352078}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:cp6r} = {res:{ralign 8:1.348199}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:edr} = {res:{ralign 8:1.851523}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:quintiles} = {res:{ralign 8:3.008055}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:female} = {res:{ralign 8:.498115}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:edad} = {res:{ralign 8:2.852107}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:urban} = {res:{ralign 8:.714368}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:soct2r} = {res:{ralign 8:1.727717}} {txt:(mean)}
{lalign 8:6._at: }{space 0}{lalign 14:v2pepwrsoc_rev} = {res:{ralign 8:-1.9}}
{lalign 8:}{space 0}{lalign 14:black} = {res:{ralign 8:.0932962}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:indig} = {res:{ralign 8:.069394}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:mestizo} = {res:{ralign 8:.4893953}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:otroethn} = {res:{ralign 8:.022359}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:incum_voter} = {res:{ralign 8:.352078}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:cp6r} = {res:{ralign 8:1.348199}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:edr} = {res:{ralign 8:1.851523}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:quintiles} = {res:{ralign 8:3.008055}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:female} = {res:{ralign 8:.498115}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:edad} = {res:{ralign 8:2.852107}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:urban} = {res:{ralign 8:.714368}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:soct2r} = {res:{ralign 8:1.727717}} {txt:(mean)}
{lalign 8:7._at: }{space 0}{lalign 14:v2pepwrsoc_rev} = {res:{ralign 8:-1.8}}
{lalign 8:}{space 0}{lalign 14:black} = {res:{ralign 8:.0932962}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:indig} = {res:{ralign 8:.069394}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:mestizo} = {res:{ralign 8:.4893953}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:otroethn} = {res:{ralign 8:.022359}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:incum_voter} = {res:{ralign 8:.352078}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:cp6r} = {res:{ralign 8:1.348199}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:edr} = {res:{ralign 8:1.851523}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:quintiles} = {res:{ralign 8:3.008055}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:female} = {res:{ralign 8:.498115}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:edad} = {res:{ralign 8:2.852107}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:urban} = {res:{ralign 8:.714368}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:soct2r} = {res:{ralign 8:1.727717}} {txt:(mean)}
{lalign 8:8._at: }{space 0}{lalign 14:v2pepwrsoc_rev} = {res:{ralign 8:-1.7}}
{lalign 8:}{space 0}{lalign 14:black} = {res:{ralign 8:.0932962}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:indig} = {res:{ralign 8:.069394}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:mestizo} = {res:{ralign 8:.4893953}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:otroethn} = {res:{ralign 8:.022359}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:incum_voter} = {res:{ralign 8:.352078}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:cp6r} = {res:{ralign 8:1.348199}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:edr} = {res:{ralign 8:1.851523}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:quintiles} = {res:{ralign 8:3.008055}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:female} = {res:{ralign 8:.498115}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:edad} = {res:{ralign 8:2.852107}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:urban} = {res:{ralign 8:.714368}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:soct2r} = {res:{ralign 8:1.727717}} {txt:(mean)}
{lalign 8:9._at: }{space 0}{lalign 14:v2pepwrsoc_rev} = {res:{ralign 8:-1.6}}
{lalign 8:}{space 0}{lalign 14:black} = {res:{ralign 8:.0932962}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:indig} = {res:{ralign 8:.069394}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:mestizo} = {res:{ralign 8:.4893953}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:otroethn} = {res:{ralign 8:.022359}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:incum_voter} = {res:{ralign 8:.352078}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:cp6r} = {res:{ralign 8:1.348199}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:edr} = {res:{ralign 8:1.851523}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:quintiles} = {res:{ralign 8:3.008055}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:female} = {res:{ralign 8:.498115}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:edad} = {res:{ralign 8:2.852107}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:urban} = {res:{ralign 8:.714368}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:soct2r} = {res:{ralign 8:1.727717}} {txt:(mean)}
{lalign 8:10._at: }{space 0}{lalign 14:v2pepwrsoc_rev} = {res:{ralign 8:-1.5}}
{lalign 8:}{space 0}{lalign 14:black} = {res:{ralign 8:.0932962}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:indig} = {res:{ralign 8:.069394}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:mestizo} = {res:{ralign 8:.4893953}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:otroethn} = {res:{ralign 8:.022359}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:incum_voter} = {res:{ralign 8:.352078}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:cp6r} = {res:{ralign 8:1.348199}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:edr} = {res:{ralign 8:1.851523}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:quintiles} = {res:{ralign 8:3.008055}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:female} = {res:{ralign 8:.498115}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:edad} = {res:{ralign 8:2.852107}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:urban} = {res:{ralign 8:.714368}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:soct2r} = {res:{ralign 8:1.727717}} {txt:(mean)}
{lalign 8:11._at: }{space 0}{lalign 14:v2pepwrsoc_rev} = {res:{ralign 8:-1.4}}
{lalign 8:}{space 0}{lalign 14:black} = {res:{ralign 8:.0932962}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:indig} = {res:{ralign 8:.069394}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:mestizo} = {res:{ralign 8:.4893953}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:otroethn} = {res:{ralign 8:.022359}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:incum_voter} = {res:{ralign 8:.352078}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:cp6r} = {res:{ralign 8:1.348199}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:edr} = {res:{ralign 8:1.851523}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:quintiles} = {res:{ralign 8:3.008055}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:female} = {res:{ralign 8:.498115}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:edad} = {res:{ralign 8:2.852107}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:urban} = {res:{ralign 8:.714368}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:soct2r} = {res:{ralign 8:1.727717}} {txt:(mean)}
{lalign 8:12._at: }{space 0}{lalign 14:v2pepwrsoc_rev} = {res:{ralign 8:-1.3}}
{lalign 8:}{space 0}{lalign 14:black} = {res:{ralign 8:.0932962}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:indig} = {res:{ralign 8:.069394}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:mestizo} = {res:{ralign 8:.4893953}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:otroethn} = {res:{ralign 8:.022359}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:incum_voter} = {res:{ralign 8:.352078}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:cp6r} = {res:{ralign 8:1.348199}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:edr} = {res:{ralign 8:1.851523}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:quintiles} = {res:{ralign 8:3.008055}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:female} = {res:{ralign 8:.498115}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:edad} = {res:{ralign 8:2.852107}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:urban} = {res:{ralign 8:.714368}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:soct2r} = {res:{ralign 8:1.727717}} {txt:(mean)}
{lalign 8:13._at: }{space 0}{lalign 14:v2pepwrsoc_rev} = {res:{ralign 8:-1.2}}
{lalign 8:}{space 0}{lalign 14:black} = {res:{ralign 8:.0932962}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:indig} = {res:{ralign 8:.069394}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:mestizo} = {res:{ralign 8:.4893953}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:otroethn} = {res:{ralign 8:.022359}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:incum_voter} = {res:{ralign 8:.352078}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:cp6r} = {res:{ralign 8:1.348199}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:edr} = {res:{ralign 8:1.851523}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:quintiles} = {res:{ralign 8:3.008055}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:female} = {res:{ralign 8:.498115}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:edad} = {res:{ralign 8:2.852107}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:urban} = {res:{ralign 8:.714368}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:soct2r} = {res:{ralign 8:1.727717}} {txt:(mean)}
{lalign 8:14._at: }{space 0}{lalign 14:v2pepwrsoc_rev} = {res:{ralign 8:-1.1}}
{lalign 8:}{space 0}{lalign 14:black} = {res:{ralign 8:.0932962}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:indig} = {res:{ralign 8:.069394}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:mestizo} = {res:{ralign 8:.4893953}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:otroethn} = {res:{ralign 8:.022359}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:incum_voter} = {res:{ralign 8:.352078}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:cp6r} = {res:{ralign 8:1.348199}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:edr} = {res:{ralign 8:1.851523}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:quintiles} = {res:{ralign 8:3.008055}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:female} = {res:{ralign 8:.498115}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:edad} = {res:{ralign 8:2.852107}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:urban} = {res:{ralign 8:.714368}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:soct2r} = {res:{ralign 8:1.727717}} {txt:(mean)}
{lalign 8:15._at: }{space 0}{lalign 14:v2pepwrsoc_rev} = {res:{ralign 8:-1}}
{lalign 8:}{space 0}{lalign 14:black} = {res:{ralign 8:.0932962}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:indig} = {res:{ralign 8:.069394}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:mestizo} = {res:{ralign 8:.4893953}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:otroethn} = {res:{ralign 8:.022359}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:incum_voter} = {res:{ralign 8:.352078}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:cp6r} = {res:{ralign 8:1.348199}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:edr} = {res:{ralign 8:1.851523}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:quintiles} = {res:{ralign 8:3.008055}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:female} = {res:{ralign 8:.498115}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:edad} = {res:{ralign 8:2.852107}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:urban} = {res:{ralign 8:.714368}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:soct2r} = {res:{ralign 8:1.727717}} {txt:(mean)}
{lalign 8:16._at: }{space 0}{lalign 14:v2pepwrsoc_rev} = {res:{ralign 8:-.9}}
{lalign 8:}{space 0}{lalign 14:black} = {res:{ralign 8:.0932962}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:indig} = {res:{ralign 8:.069394}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:mestizo} = {res:{ralign 8:.4893953}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:otroethn} = {res:{ralign 8:.022359}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:incum_voter} = {res:{ralign 8:.352078}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:cp6r} = {res:{ralign 8:1.348199}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:edr} = {res:{ralign 8:1.851523}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:quintiles} = {res:{ralign 8:3.008055}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:female} = {res:{ralign 8:.498115}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:edad} = {res:{ralign 8:2.852107}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:urban} = {res:{ralign 8:.714368}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:soct2r} = {res:{ralign 8:1.727717}} {txt:(mean)}
{lalign 8:17._at: }{space 0}{lalign 14:v2pepwrsoc_rev} = {res:{ralign 8:-.8}}
{lalign 8:}{space 0}{lalign 14:black} = {res:{ralign 8:.0932962}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:indig} = {res:{ralign 8:.069394}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:mestizo} = {res:{ralign 8:.4893953}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:otroethn} = {res:{ralign 8:.022359}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:incum_voter} = {res:{ralign 8:.352078}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:cp6r} = {res:{ralign 8:1.348199}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:edr} = {res:{ralign 8:1.851523}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:quintiles} = {res:{ralign 8:3.008055}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:female} = {res:{ralign 8:.498115}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:edad} = {res:{ralign 8:2.852107}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:urban} = {res:{ralign 8:.714368}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:soct2r} = {res:{ralign 8:1.727717}} {txt:(mean)}
{lalign 8:18._at: }{space 0}{lalign 14:v2pepwrsoc_rev} = {res:{ralign 8:-.7}}
{lalign 8:}{space 0}{lalign 14:black} = {res:{ralign 8:.0932962}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:indig} = {res:{ralign 8:.069394}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:mestizo} = {res:{ralign 8:.4893953}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:otroethn} = {res:{ralign 8:.022359}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:incum_voter} = {res:{ralign 8:.352078}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:cp6r} = {res:{ralign 8:1.348199}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:edr} = {res:{ralign 8:1.851523}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:quintiles} = {res:{ralign 8:3.008055}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:female} = {res:{ralign 8:.498115}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:edad} = {res:{ralign 8:2.852107}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:urban} = {res:{ralign 8:.714368}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:soct2r} = {res:{ralign 8:1.727717}} {txt:(mean)}
{lalign 8:19._at: }{space 0}{lalign 14:v2pepwrsoc_rev} = {res:{ralign 8:-.6}}
{lalign 8:}{space 0}{lalign 14:black} = {res:{ralign 8:.0932962}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:indig} = {res:{ralign 8:.069394}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:mestizo} = {res:{ralign 8:.4893953}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:otroethn} = {res:{ralign 8:.022359}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:incum_voter} = {res:{ralign 8:.352078}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:cp6r} = {res:{ralign 8:1.348199}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:edr} = {res:{ralign 8:1.851523}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:quintiles} = {res:{ralign 8:3.008055}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:female} = {res:{ralign 8:.498115}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:edad} = {res:{ralign 8:2.852107}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:urban} = {res:{ralign 8:.714368}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:soct2r} = {res:{ralign 8:1.727717}} {txt:(mean)}
{lalign 8:20._at: }{space 0}{lalign 14:v2pepwrsoc_rev} = {res:{ralign 8:-.5}}
{lalign 8:}{space 0}{lalign 14:black} = {res:{ralign 8:.0932962}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:indig} = {res:{ralign 8:.069394}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:mestizo} = {res:{ralign 8:.4893953}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:otroethn} = {res:{ralign 8:.022359}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:incum_voter} = {res:{ralign 8:.352078}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:cp6r} = {res:{ralign 8:1.348199}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:edr} = {res:{ralign 8:1.851523}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:quintiles} = {res:{ralign 8:3.008055}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:female} = {res:{ralign 8:.498115}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:edad} = {res:{ralign 8:2.852107}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:urban} = {res:{ralign 8:.714368}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:soct2r} = {res:{ralign 8:1.727717}} {txt:(mean)}
{lalign 8:21._at: }{space 0}{lalign 14:v2pepwrsoc_rev} = {res:{ralign 8:-.4}}
{lalign 8:}{space 0}{lalign 14:black} = {res:{ralign 8:.0932962}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:indig} = {res:{ralign 8:.069394}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:mestizo} = {res:{ralign 8:.4893953}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:otroethn} = {res:{ralign 8:.022359}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:incum_voter} = {res:{ralign 8:.352078}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:cp6r} = {res:{ralign 8:1.348199}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:edr} = {res:{ralign 8:1.851523}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:quintiles} = {res:{ralign 8:3.008055}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:female} = {res:{ralign 8:.498115}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:edad} = {res:{ralign 8:2.852107}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:urban} = {res:{ralign 8:.714368}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:soct2r} = {res:{ralign 8:1.727717}} {txt:(mean)}
{lalign 8:22._at: }{space 0}{lalign 14:v2pepwrsoc_rev} = {res:{ralign 8:-.3}}
{lalign 8:}{space 0}{lalign 14:black} = {res:{ralign 8:.0932962}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:indig} = {res:{ralign 8:.069394}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:mestizo} = {res:{ralign 8:.4893953}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:otroethn} = {res:{ralign 8:.022359}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:incum_voter} = {res:{ralign 8:.352078}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:cp6r} = {res:{ralign 8:1.348199}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:edr} = {res:{ralign 8:1.851523}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:quintiles} = {res:{ralign 8:3.008055}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:female} = {res:{ralign 8:.498115}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:edad} = {res:{ralign 8:2.852107}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:urban} = {res:{ralign 8:.714368}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:soct2r} = {res:{ralign 8:1.727717}} {txt:(mean)}
{lalign 8:23._at: }{space 0}{lalign 14:v2pepwrsoc_rev} = {res:{ralign 8:-.2}}
{lalign 8:}{space 0}{lalign 14:black} = {res:{ralign 8:.0932962}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:indig} = {res:{ralign 8:.069394}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:mestizo} = {res:{ralign 8:.4893953}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:otroethn} = {res:{ralign 8:.022359}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:incum_voter} = {res:{ralign 8:.352078}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:cp6r} = {res:{ralign 8:1.348199}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:edr} = {res:{ralign 8:1.851523}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:quintiles} = {res:{ralign 8:3.008055}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:female} = {res:{ralign 8:.498115}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:edad} = {res:{ralign 8:2.852107}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:urban} = {res:{ralign 8:.714368}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:soct2r} = {res:{ralign 8:1.727717}} {txt:(mean)}
{lalign 8:24._at: }{space 0}{lalign 14:v2pepwrsoc_rev} = {res:{ralign 8:-.1}}
{lalign 8:}{space 0}{lalign 14:black} = {res:{ralign 8:.0932962}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:indig} = {res:{ralign 8:.069394}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:mestizo} = {res:{ralign 8:.4893953}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:otroethn} = {res:{ralign 8:.022359}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:incum_voter} = {res:{ralign 8:.352078}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:cp6r} = {res:{ralign 8:1.348199}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:edr} = {res:{ralign 8:1.851523}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:quintiles} = {res:{ralign 8:3.008055}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:female} = {res:{ralign 8:.498115}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:edad} = {res:{ralign 8:2.852107}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:urban} = {res:{ralign 8:.714368}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:soct2r} = {res:{ralign 8:1.727717}} {txt:(mean)}
{lalign 8:25._at: }{space 0}{lalign 14:v2pepwrsoc_rev} = {res:{ralign 8:0}}
{lalign 8:}{space 0}{lalign 14:black} = {res:{ralign 8:.0932962}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:indig} = {res:{ralign 8:.069394}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:mestizo} = {res:{ralign 8:.4893953}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:otroethn} = {res:{ralign 8:.022359}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:incum_voter} = {res:{ralign 8:.352078}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:cp6r} = {res:{ralign 8:1.348199}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:edr} = {res:{ralign 8:1.851523}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:quintiles} = {res:{ralign 8:3.008055}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:female} = {res:{ralign 8:.498115}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:edad} = {res:{ralign 8:2.852107}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:urban} = {res:{ralign 8:.714368}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:soct2r} = {res:{ralign 8:1.727717}} {txt:(mean)}
{lalign 8:26._at: }{space 0}{lalign 14:v2pepwrsoc_rev} = {res:{ralign 8:.1}}
{lalign 8:}{space 0}{lalign 14:black} = {res:{ralign 8:.0932962}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:indig} = {res:{ralign 8:.069394}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:mestizo} = {res:{ralign 8:.4893953}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:otroethn} = {res:{ralign 8:.022359}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:incum_voter} = {res:{ralign 8:.352078}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:cp6r} = {res:{ralign 8:1.348199}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:edr} = {res:{ralign 8:1.851523}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:quintiles} = {res:{ralign 8:3.008055}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:female} = {res:{ralign 8:.498115}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:edad} = {res:{ralign 8:2.852107}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:urban} = {res:{ralign 8:.714368}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:soct2r} = {res:{ralign 8:1.727717}} {txt:(mean)}
{lalign 8:27._at: }{space 0}{lalign 14:v2pepwrsoc_rev} = {res:{ralign 8:.2}}
{lalign 8:}{space 0}{lalign 14:black} = {res:{ralign 8:.0932962}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:indig} = {res:{ralign 8:.069394}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:mestizo} = {res:{ralign 8:.4893953}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:otroethn} = {res:{ralign 8:.022359}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:incum_voter} = {res:{ralign 8:.352078}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:cp6r} = {res:{ralign 8:1.348199}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:edr} = {res:{ralign 8:1.851523}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:quintiles} = {res:{ralign 8:3.008055}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:female} = {res:{ralign 8:.498115}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:edad} = {res:{ralign 8:2.852107}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:urban} = {res:{ralign 8:.714368}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:soct2r} = {res:{ralign 8:1.727717}} {txt:(mean)}
{lalign 8:28._at: }{space 0}{lalign 14:v2pepwrsoc_rev} = {res:{ralign 8:.3}}
{lalign 8:}{space 0}{lalign 14:black} = {res:{ralign 8:.0932962}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:indig} = {res:{ralign 8:.069394}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:mestizo} = {res:{ralign 8:.4893953}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:otroethn} = {res:{ralign 8:.022359}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:incum_voter} = {res:{ralign 8:.352078}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:cp6r} = {res:{ralign 8:1.348199}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:edr} = {res:{ralign 8:1.851523}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:quintiles} = {res:{ralign 8:3.008055}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:female} = {res:{ralign 8:.498115}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:edad} = {res:{ralign 8:2.852107}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:urban} = {res:{ralign 8:.714368}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:soct2r} = {res:{ralign 8:1.727717}} {txt:(mean)}
{lalign 8:29._at: }{space 0}{lalign 14:v2pepwrsoc_rev} = {res:{ralign 8:.4}}
{lalign 8:}{space 0}{lalign 14:black} = {res:{ralign 8:.0932962}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:indig} = {res:{ralign 8:.069394}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:mestizo} = {res:{ralign 8:.4893953}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:otroethn} = {res:{ralign 8:.022359}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:incum_voter} = {res:{ralign 8:.352078}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:cp6r} = {res:{ralign 8:1.348199}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:edr} = {res:{ralign 8:1.851523}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:quintiles} = {res:{ralign 8:3.008055}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:female} = {res:{ralign 8:.498115}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:edad} = {res:{ralign 8:2.852107}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:urban} = {res:{ralign 8:.714368}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:soct2r} = {res:{ralign 8:1.727717}} {txt:(mean)}
{lalign 8:30._at: }{space 0}{lalign 14:v2pepwrsoc_rev} = {res:{ralign 8:.5}}
{lalign 8:}{space 0}{lalign 14:black} = {res:{ralign 8:.0932962}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:indig} = {res:{ralign 8:.069394}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:mestizo} = {res:{ralign 8:.4893953}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:otroethn} = {res:{ralign 8:.022359}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:incum_voter} = {res:{ralign 8:.352078}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:cp6r} = {res:{ralign 8:1.348199}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:edr} = {res:{ralign 8:1.851523}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:quintiles} = {res:{ralign 8:3.008055}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:female} = {res:{ralign 8:.498115}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:edad} = {res:{ralign 8:2.852107}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:urban} = {res:{ralign 8:.714368}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:soct2r} = {res:{ralign 8:1.727717}} {txt:(mean)}
{lalign 8:31._at: }{space 0}{lalign 14:v2pepwrsoc_rev} = {res:{ralign 8:.6}}
{lalign 8:}{space 0}{lalign 14:black} = {res:{ralign 8:.0932962}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:indig} = {res:{ralign 8:.069394}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:mestizo} = {res:{ralign 8:.4893953}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:otroethn} = {res:{ralign 8:.022359}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:incum_voter} = {res:{ralign 8:.352078}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:cp6r} = {res:{ralign 8:1.348199}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:edr} = {res:{ralign 8:1.851523}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:quintiles} = {res:{ralign 8:3.008055}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:female} = {res:{ralign 8:.498115}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:edad} = {res:{ralign 8:2.852107}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:urban} = {res:{ralign 8:.714368}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:soct2r} = {res:{ralign 8:1.727717}} {txt:(mean)}

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{txt}{space 9}18  {c |}{col 14}{res}{space 2} 5.059982{col 26}{space 2} .0400394{col 37}{space 1}  126.38{col 46}{space 3}0.000{col 54}{space 4} 4.981506{col 67}{space 3} 5.138458
{txt}{space 9}19  {c |}{col 14}{res}{space 2} 5.027197{col 26}{space 2} .0418902{col 37}{space 1}  120.01{col 46}{space 3}0.000{col 54}{space 4} 4.945094{col 67}{space 3}   5.1093
{txt}{space 9}20  {c |}{col 14}{res}{space 2} 4.994412{col 26}{space 2} .0441428{col 37}{space 1}  113.14{col 46}{space 3}0.000{col 54}{space 4} 4.907894{col 67}{space 3}  5.08093
{txt}{space 9}21  {c |}{col 14}{res}{space 2} 4.961627{col 26}{space 2} .0467391{col 37}{space 1}  106.16{col 46}{space 3}0.000{col 54}{space 4}  4.87002{col 67}{space 3} 5.053234
{txt}{space 9}22  {c |}{col 14}{res}{space 2} 4.928841{col 26}{space 2} .0496252{col 37}{space 1}   99.32{col 46}{space 3}0.000{col 54}{space 4} 4.831578{col 67}{space 3} 5.026105
{txt}{space 9}23  {c |}{col 14}{res}{space 2} 4.896056{col 26}{space 2} .0527536{col 37}{space 1}   92.81{col 46}{space 3}0.000{col 54}{space 4} 4.792661{col 67}{space 3} 4.999451
{txt}{space 9}24  {c |}{col 14}{res}{space 2} 4.863271{col 26}{space 2} .0560837{col 37}{space 1}   86.71{col 46}{space 3}0.000{col 54}{space 4} 4.753349{col 67}{space 3} 4.973193
{txt}{space 9}25  {c |}{col 14}{res}{space 2} 4.830486{col 26}{space 2} .0595817{col 37}{space 1}   81.07{col 46}{space 3}0.000{col 54}{space 4} 4.713708{col 67}{space 3} 4.947264
{txt}{space 9}26  {c |}{col 14}{res}{space 2} 4.797701{col 26}{space 2} .0632198{col 37}{space 1}   75.89{col 46}{space 3}0.000{col 54}{space 4} 4.673792{col 67}{space 3} 4.921609
{txt}{space 9}27  {c |}{col 14}{res}{space 2} 4.764915{col 26}{space 2} .0669751{col 37}{space 1}   71.14{col 46}{space 3}0.000{col 54}{space 4} 4.633647{col 67}{space 3} 4.896184
{txt}{space 9}28  {c |}{col 14}{res}{space 2}  4.73213{col 26}{space 2}  .070829{col 37}{space 1}   66.81{col 46}{space 3}0.000{col 54}{space 4} 4.593308{col 67}{space 3} 4.870952
{txt}{space 9}29  {c |}{col 14}{res}{space 2} 4.699345{col 26}{space 2} .0747662{col 37}{space 1}   62.85{col 46}{space 3}0.000{col 54}{space 4} 4.552806{col 67}{space 3} 4.845884
{txt}{space 9}30  {c |}{col 14}{res}{space 2}  4.66656{col 26}{space 2} .0787743{col 37}{space 1}   59.24{col 46}{space 3}0.000{col 54}{space 4} 4.512165{col 67}{space 3} 4.820954
{txt}{space 9}31  {c |}{col 14}{res}{space 2} 4.633775{col 26}{space 2} .0828429{col 37}{space 1}   55.93{col 46}{space 3}0.000{col 54}{space 4} 4.471405{col 67}{space 3} 4.796144
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. est store excleffect
{txt}
{com}. marginsplot, ///
>         plotopts(mcolor(none) lcolor(black)) recastci(rarea) ///
>         ciopts(fcolor(gs15) lcolor(gs15)) level(90) ///
>         title("") xtitle("") xlabel(`minexcl'(.5)`maxexcl') ///
>         xtitle("Political Exclusion") ///
>         ytitle("Predicted Support for Democracy") ///
>         graphregion(color(gs15)) scale(1.2)
{res}
{text}{p 0 0 2}Variables that uniquely identify margins: {bf:v2pepwrsoc_rev}{p_end}
{res}{txt}
{com}. graph save "exclEffectPoP.gph", replace
{res}{txt}file {bf:exclEffectPoP.gph} saved

{com}. graph export "exclEffectPoP.pdf", as(pdf) replace
{txt}{p 0 4 2}
file {bf}
exclEffectPoP.pdf{rm}
saved as
PDF
format
{p_end}

{com}. 
. // Alternate two-way fixed effects:
. regress ing4 c.v2pepwrsoc_rev black indig mestizo otroethn incum_voter cp6r edr quintile female edad urban soct2r i.pais i.year [pweight=weight1500], vce(robust)
{txt}(sum of wgt is 128,445.583314932)

Linear regression                               Number of obs     = {res}   142,430
                                                {txt}F(35, 142394)     =  {res}   388.47
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.0804
                                                {txt}Root MSE          =    {res}  1.668

{txt}{hline 15}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 16}{c |}{col 28}    Robust
{col 1}          ing4{col 16}{c |} Coefficient{col 28}  std. err.{col 40}      t{col 48}   P>|t|{col 56}     [95% con{col 69}f. interval]
{hline 15}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
v2pepwrsoc_rev {c |}{col 16}{res}{space 2}-.2322454{col 28}{space 2} .0426727{col 39}{space 1}   -5.44{col 48}{space 3}0.000{col 56}{space 4}-.3158831{col 69}{space 3}-.1486078
{txt}{space 9}black {c |}{col 16}{res}{space 2} .0088622{col 28}{space 2} .0194958{col 39}{space 1}    0.45{col 48}{space 3}0.649{col 56}{space 4}-.0293493{col 69}{space 3} .0470737
{txt}{space 9}indig {c |}{col 16}{res}{space 2}-.0286911{col 28}{space 2} .0215939{col 39}{space 1}   -1.33{col 48}{space 3}0.184{col 56}{space 4}-.0710147{col 69}{space 3} .0136325
{txt}{space 7}mestizo {c |}{col 16}{res}{space 2} .0359432{col 28}{space 2} .0116668{col 39}{space 1}    3.08{col 48}{space 3}0.002{col 56}{space 4} .0130764{col 69}{space 3}   .05881
{txt}{space 6}otroethn {c |}{col 16}{res}{space 2}-.0994757{col 28}{space 2} .0331129{col 39}{space 1}   -3.00{col 48}{space 3}0.003{col 56}{space 4}-.1643764{col 69}{space 3}-.0345751
{txt}{space 3}incum_voter {c |}{col 16}{res}{space 2} .1414241{col 28}{space 2} .0098229{col 39}{space 1}   14.40{col 48}{space 3}0.000{col 56}{space 4} .1221714{col 69}{space 3} .1606767
{txt}{space 10}cp6r {c |}{col 16}{res}{space 2} .0227355{col 28}{space 2} .0037729{col 39}{space 1}    6.03{col 48}{space 3}0.000{col 56}{space 4} .0153407{col 69}{space 3} .0301302
{txt}{space 11}edr {c |}{col 16}{res}{space 2} .1778504{col 28}{space 2} .0072069{col 39}{space 1}   24.68{col 48}{space 3}0.000{col 56}{space 4} .1637249{col 69}{space 3} .1919758
{txt}{space 5}quintiles {c |}{col 16}{res}{space 2} .0421719{col 28}{space 2} .0038039{col 39}{space 1}   11.09{col 48}{space 3}0.000{col 56}{space 4} .0347163{col 69}{space 3} .0496275
{txt}{space 8}female {c |}{col 16}{res}{space 2}-.0550032{col 28}{space 2} .0092902{col 39}{space 1}   -5.92{col 48}{space 3}0.000{col 56}{space 4}-.0732118{col 69}{space 3}-.0367945
{txt}{space 10}edad {c |}{col 16}{res}{space 2} .0991989{col 28}{space 2} .0032097{col 39}{space 1}   30.91{col 48}{space 3}0.000{col 56}{space 4}  .092908{col 69}{space 3} .1054898
{txt}{space 9}urban {c |}{col 16}{res}{space 2}-.0748662{col 28}{space 2} .0114997{col 39}{space 1}   -6.51{col 48}{space 3}0.000{col 56}{space 4}-.0974054{col 69}{space 3}-.0523269
{txt}{space 8}soct2r {c |}{col 16}{res}{space 2} .1655114{col 28}{space 2} .0066588{col 39}{space 1}   24.86{col 48}{space 3}0.000{col 56}{space 4} .1524602{col 69}{space 3} .1785626
{txt}{space 14} {c |}
{space 10}pais {c |}
{space 12}2  {c |}{col 16}{res}{space 2} .1877938{col 28}{space 2} .0628039{col 39}{space 1}    2.99{col 48}{space 3}0.003{col 56}{space 4} .0646994{col 69}{space 3} .3108883
{txt}{space 12}3  {c |}{col 16}{res}{space 2}-.1539128{col 28}{space 2} .0285782{col 39}{space 1}   -5.39{col 48}{space 3}0.000{col 56}{space 4}-.2099255{col 69}{space 3}   -.0979
{txt}{space 12}4  {c |}{col 16}{res}{space 2}-.1857863{col 28}{space 2} .0299177{col 39}{space 1}   -6.21{col 48}{space 3}0.000{col 56}{space 4}-.2444244{col 69}{space 3}-.1271481
{txt}{space 12}5  {c |}{col 16}{res}{space 2} .3841406{col 28}{space 2} .0573647{col 39}{space 1}    6.70{col 48}{space 3}0.000{col 56}{space 4} .2717069{col 69}{space 3} .4965742
{txt}{space 12}6  {c |}{col 16}{res}{space 2} .2579044{col 28}{space 2} .0656517{col 39}{space 1}    3.93{col 48}{space 3}0.000{col 56}{space 4} .1292282{col 69}{space 3} .3865805
{txt}{space 12}7  {c |}{col 16}{res}{space 2}-.1167888{col 28}{space 2} .0282705{col 39}{space 1}   -4.13{col 48}{space 3}0.000{col 56}{space 4}-.1721984{col 69}{space 3}-.0613792
{txt}{space 12}8  {c |}{col 16}{res}{space 2} .2885679{col 28}{space 2} .0379275{col 39}{space 1}    7.61{col 48}{space 3}0.000{col 56}{space 4} .2142308{col 69}{space 3}  .362905
{txt}{space 12}9  {c |}{col 16}{res}{space 2}-.0750069{col 28}{space 2} .0392349{col 39}{space 1}   -1.91{col 48}{space 3}0.056{col 56}{space 4}-.1519066{col 69}{space 3} .0018928
{txt}{space 11}10  {c |}{col 16}{res}{space 2}-.0902452{col 28}{space 2} .0243923{col 39}{space 1}   -3.70{col 48}{space 3}0.000{col 56}{space 4}-.1380536{col 69}{space 3}-.0424368
{txt}{space 11}11  {c |}{col 16}{res}{space 2}-.3122859{col 28}{space 2} .0277755{col 39}{space 1}  -11.24{col 48}{space 3}0.000{col 56}{space 4}-.3667255{col 69}{space 3}-.2578464
{txt}{space 11}12  {c |}{col 16}{res}{space 2} .0328247{col 28}{space 2} .0551876{col 39}{space 1}    0.59{col 48}{space 3}0.552{col 56}{space 4}-.0753419{col 69}{space 3} .1409912
{txt}{space 11}13  {c |}{col 16}{res}{space 2} .2298975{col 28}{space 2} .0269063{col 39}{space 1}    8.54{col 48}{space 3}0.000{col 56}{space 4} .1771617{col 69}{space 3} .2826333
{txt}{space 11}14  {c |}{col 16}{res}{space 2}  .610511{col 28}{space 2} .0672545{col 39}{space 1}    9.08{col 48}{space 3}0.000{col 56}{space 4} .4786934{col 69}{space 3} .7423286
{txt}{space 11}15  {c |}{col 16}{res}{space 2}-.0822911{col 28}{space 2}  .037961{col 39}{space 1}   -2.17{col 48}{space 3}0.030{col 56}{space 4}-.1566938{col 69}{space 3}-.0078883
{txt}{space 11}17  {c |}{col 16}{res}{space 2} .7239517{col 28}{space 2} .0459912{col 39}{space 1}   15.74{col 48}{space 3}0.000{col 56}{space 4} .6338099{col 69}{space 3} .8140935
{txt}{space 11}21  {c |}{col 16}{res}{space 2} .1873781{col 28}{space 2} .0296477{col 39}{space 1}    6.32{col 48}{space 3}0.000{col 56}{space 4} .1292692{col 69}{space 3} .2454869
{txt}{space 14} {c |}
{space 10}year {c |}
{space 9}2006  {c |}{col 16}{res}{space 2} .0714519{col 28}{space 2}  .033109{col 39}{space 1}    2.16{col 48}{space 3}0.031{col 56}{space 4} .0065589{col 69}{space 3}  .136345
{txt}{space 9}2008  {c |}{col 16}{res}{space 2} .1968194{col 28}{space 2} .0339937{col 39}{space 1}    5.79{col 48}{space 3}0.000{col 56}{space 4} .1301923{col 69}{space 3} .2634465
{txt}{space 9}2010  {c |}{col 16}{res}{space 2} .1447601{col 28}{space 2} .0338402{col 39}{space 1}    4.28{col 48}{space 3}0.000{col 56}{space 4}  .078434{col 69}{space 3} .2110861
{txt}{space 9}2012  {c |}{col 16}{res}{space 2} .0825098{col 28}{space 2} .0340616{col 39}{space 1}    2.42{col 48}{space 3}0.015{col 56}{space 4} .0157498{col 69}{space 3} .1492699
{txt}{space 9}2014  {c |}{col 16}{res}{space 2} .0545102{col 28}{space 2}   .03426{col 39}{space 1}    1.59{col 48}{space 3}0.112{col 56}{space 4}-.0126387{col 69}{space 3} .1216592
{txt}{space 9}2016  {c |}{col 16}{res}{space 2}-.2874144{col 28}{space 2} .0341355{col 39}{space 1}   -8.42{col 48}{space 3}0.000{col 56}{space 4}-.3543193{col 69}{space 3}-.2205096
{txt}{space 14} {c |}
{space 9}_cons {c |}{col 16}{res}{space 2} 3.723798{col 28}{space 2} .0531074{col 39}{space 1}   70.12{col 48}{space 3}0.000{col 56}{space 4} 3.619709{col 69}{space 3} 3.827888
{txt}{hline 15}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. estimates store fe2
{txt}
{com}. 
. // Alternate controlling for democratic history
. mixed ing4 c.v2pepwrsoc_rev demyear_trans black indig mestizo otroethn incum_voter cp6r edr quintile female edad urban soct2r [pweight=weight1500] || country_year:, cov(independent)
{txt}{p 0 6}note: single-variable random-{txt}effects specification in {inp:country_year} equation; covariance structure set to {inp:identity}.{p_end}
{res}
{txt}Obtaining starting values by EM ...
{res}
{txt}Performing gradient-based optimization: {res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-247330.23}  
Iteration 1:{space 3}log pseudolikelihood = {res:-247330.23}  
{res}
{txt}Computing standard errors ...
{res}
{txt}Mixed-effects regression{col 49}Number of obs{col 67}={col 69}{res}   142,430
{txt}Group variable: {res}country_year{col 49}{txt}Number of groups{col 67}={col 69}{res}        95
{txt}{col 49}Obs per group:
{col 63}min{col 67}={col 69}{res}       996
{txt}{col 63}avg{col 67}={col 69}{res}   1,499.3
{txt}{col 63}max{col 67}={col 69}{res}     2,893
{col 49}{txt}Wald chi2({res}14{txt}){col 67}={col 70}{res}   683.33
{txt}Log pseudolikelihood = {res}-247330.23{col 49}{txt}Prob > chi2{col 67}={col 73}{res}0.0000

{txt}{ralign 80:(Std. err. adjusted for {res:95} clusters in {res:country_year})}
{hline 15}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 16}{c |}{col 28}    Robust
{col 1}          ing4{col 16}{c |} Coefficient{col 28}  std. err.{col 40}      z{col 48}   P>|z|{col 56}     [95% con{col 69}f. interval]
{hline 15}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
v2pepwrsoc_rev {c |}{col 16}{res}{space 2}-.3139157{col 28}{space 2} .0524266{col 39}{space 1}   -5.99{col 48}{space 3}0.000{col 56}{space 4}-.4166699{col 69}{space 3}-.2111614
{txt}{space 1}demyear_trans {c |}{col 16}{res}{space 2} .0020586{col 28}{space 2} .0023851{col 39}{space 1}    0.86{col 48}{space 3}0.388{col 56}{space 4}-.0026161{col 69}{space 3} .0067332
{txt}{space 9}black {c |}{col 16}{res}{space 2}-.0223905{col 28}{space 2} .0298113{col 39}{space 1}   -0.75{col 48}{space 3}0.453{col 56}{space 4}-.0808197{col 69}{space 3} .0360387
{txt}{space 9}indig {c |}{col 16}{res}{space 2}-.0443452{col 28}{space 2} .0309682{col 39}{space 1}   -1.43{col 48}{space 3}0.152{col 56}{space 4}-.1050416{col 69}{space 3} .0163513
{txt}{space 7}mestizo {c |}{col 16}{res}{space 2} .0284805{col 28}{space 2} .0180077{col 39}{space 1}    1.58{col 48}{space 3}0.114{col 56}{space 4}-.0068139{col 69}{space 3} .0637749
{txt}{space 6}otroethn {c |}{col 16}{res}{space 2} -.098235{col 28}{space 2} .0392151{col 39}{space 1}   -2.51{col 48}{space 3}0.012{col 56}{space 4}-.1750952{col 69}{space 3}-.0213747
{txt}{space 3}incum_voter {c |}{col 16}{res}{space 2} .1384391{col 28}{space 2}  .017646{col 39}{space 1}    7.85{col 48}{space 3}0.000{col 56}{space 4} .1038536{col 69}{space 3} .1730246
{txt}{space 10}cp6r {c |}{col 16}{res}{space 2} .0204459{col 28}{space 2}   .00799{col 39}{space 1}    2.56{col 48}{space 3}0.010{col 56}{space 4} .0047858{col 69}{space 3} .0361059
{txt}{space 11}edr {c |}{col 16}{res}{space 2} .1748809{col 28}{space 2} .0126712{col 39}{space 1}   13.80{col 48}{space 3}0.000{col 56}{space 4} .1500458{col 69}{space 3}  .199716
{txt}{space 5}quintiles {c |}{col 16}{res}{space 2} .0426755{col 28}{space 2}  .007081{col 39}{space 1}    6.03{col 48}{space 3}0.000{col 56}{space 4} .0287969{col 69}{space 3}  .056554
{txt}{space 8}female {c |}{col 16}{res}{space 2}-.0556309{col 28}{space 2} .0126958{col 39}{space 1}   -4.38{col 48}{space 3}0.000{col 56}{space 4}-.0805141{col 69}{space 3}-.0307477
{txt}{space 10}edad {c |}{col 16}{res}{space 2} .0999271{col 28}{space 2} .0065284{col 39}{space 1}   15.31{col 48}{space 3}0.000{col 56}{space 4} .0871317{col 69}{space 3} .1127226
{txt}{space 9}urban {c |}{col 16}{res}{space 2}-.0723236{col 28}{space 2} .0199182{col 39}{space 1}   -3.63{col 48}{space 3}0.000{col 56}{space 4}-.1113626{col 69}{space 3}-.0332846
{txt}{space 8}soct2r {c |}{col 16}{res}{space 2} .1519641{col 28}{space 2} .0110668{col 39}{space 1}   13.73{col 48}{space 3}0.000{col 56}{space 4} .1302735{col 69}{space 3} .1736547
{txt}{space 9}_cons {c |}{col 16}{res}{space 2} 3.786352{col 28}{space 2} .0998865{col 39}{space 1}   37.91{col 48}{space 3}0.000{col 56}{space 4} 3.590578{col 69}{space 3} 3.982126
{txt}{hline 15}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{txt}{hline 29}{c TT}{hline 48}
{col 30}{c |}{col 34}{col 46}Robust{col 63}
{col 3}Random-effects parameters{col 30}{c |}{col 34}Estimate{col 45}std. err.{col 59}[95% conf. interval]
{hline 29}{c +}{hline 48}
{res}country_year{txt}: Identity{col 30}{c |}
{space 18}var(_cons) {c |}{res}{col 33} .1300343{col 44} .0170836{col 58} .1005145{col 70} .1682236
{txt}{hline 29}{c +}{hline 48}
{col 16}var(Residual){col 30}{c |}{res}{col 33} 2.746053{col 44}  .054351{col 58} 2.641567{col 70} 2.854673
{txt}{hline 29}{c BT}{hline 48}

{p 0 9 2}Warning: Sampling weights were 
specified only at the first level 
in a multilevel model. If these weights are 
indicative of overall and not conditional 
inclusion probabilities, then 
{help mixed##sampling:results may be biased}.
{p_end}

{com}. estimates store demBestPolExDemHistModel
{txt}
{com}. 
. // Alternate controlling for vdem liberal democraxy
. 
. mixed ing4 c.v2pepwrsoc_rev v2x_libdem black indig mestizo otroethn incum_voter cp6r edr quintile female edad urban soct2r [pweight=weight1500] || country_year:, cov(independent)
{txt}{p 0 6}note: single-variable random-{txt}effects specification in {inp:country_year} equation; covariance structure set to {inp:identity}.{p_end}
{res}
{txt}Obtaining starting values by EM ...
{res}
{txt}Performing gradient-based optimization: {res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-247330.41}  
Iteration 1:{space 3}log pseudolikelihood = {res:-247330.41}  (backed up)
{res}
{txt}Computing standard errors ...
{res}
{txt}Mixed-effects regression{col 49}Number of obs{col 67}={col 69}{res}   142,430
{txt}Group variable: {res}country_year{col 49}{txt}Number of groups{col 67}={col 69}{res}        95
{txt}{col 49}Obs per group:
{col 63}min{col 67}={col 69}{res}       996
{txt}{col 63}avg{col 67}={col 69}{res}   1,499.3
{txt}{col 63}max{col 67}={col 69}{res}     2,893
{col 49}{txt}Wald chi2({res}14{txt}){col 67}={col 70}{res}   682.31
{txt}Log pseudolikelihood = {res}-247330.41{col 49}{txt}Prob > chi2{col 67}={col 73}{res}0.0000

{txt}{ralign 80:(Std. err. adjusted for {res:95} clusters in {res:country_year})}
{hline 15}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 16}{c |}{col 28}    Robust
{col 1}          ing4{col 16}{c |} Coefficient{col 28}  std. err.{col 40}      z{col 48}   P>|z|{col 56}     [95% con{col 69}f. interval]
{hline 15}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
v2pepwrsoc_rev {c |}{col 16}{res}{space 2}-.3089186{col 28}{space 2} .0593114{col 39}{space 1}   -5.21{col 48}{space 3}0.000{col 56}{space 4}-.4251668{col 69}{space 3}-.1926704
{txt}{space 4}v2x_libdem {c |}{col 16}{res}{space 2} .1114756{col 28}{space 2} .2296469{col 39}{space 1}    0.49{col 48}{space 3}0.627{col 56}{space 4}-.3386242{col 69}{space 3} .5615753
{txt}{space 9}black {c |}{col 16}{res}{space 2}-.0223388{col 28}{space 2} .0298001{col 39}{space 1}   -0.75{col 48}{space 3}0.453{col 56}{space 4}-.0807459{col 69}{space 3} .0360684
{txt}{space 9}indig {c |}{col 16}{res}{space 2}  -.04445{col 28}{space 2} .0309774{col 39}{space 1}   -1.43{col 48}{space 3}0.151{col 56}{space 4}-.1051646{col 69}{space 3} .0162647
{txt}{space 7}mestizo {c |}{col 16}{res}{space 2} .0285144{col 28}{space 2} .0179496{col 39}{space 1}    1.59{col 48}{space 3}0.112{col 56}{space 4}-.0066662{col 69}{space 3} .0636949
{txt}{space 6}otroethn {c |}{col 16}{res}{space 2}-.0981687{col 28}{space 2} .0392287{col 39}{space 1}   -2.50{col 48}{space 3}0.012{col 56}{space 4}-.1750556{col 69}{space 3}-.0212818
{txt}{space 3}incum_voter {c |}{col 16}{res}{space 2} .1384693{col 28}{space 2} .0176613{col 39}{space 1}    7.84{col 48}{space 3}0.000{col 56}{space 4} .1038538{col 69}{space 3} .1730849
{txt}{space 10}cp6r {c |}{col 16}{res}{space 2} .0204878{col 28}{space 2} .0080003{col 39}{space 1}    2.56{col 48}{space 3}0.010{col 56}{space 4} .0048076{col 69}{space 3} .0361681
{txt}{space 11}edr {c |}{col 16}{res}{space 2} .1748088{col 28}{space 2} .0126458{col 39}{space 1}   13.82{col 48}{space 3}0.000{col 56}{space 4} .1500235{col 69}{space 3}  .199594
{txt}{space 5}quintiles {c |}{col 16}{res}{space 2} .0426989{col 28}{space 2} .0070736{col 39}{space 1}    6.04{col 48}{space 3}0.000{col 56}{space 4}  .028835{col 69}{space 3} .0565629
{txt}{space 8}female {c |}{col 16}{res}{space 2}-.0556564{col 28}{space 2} .0126969{col 39}{space 1}   -4.38{col 48}{space 3}0.000{col 56}{space 4} -.080542{col 69}{space 3}-.0307709
{txt}{space 10}edad {c |}{col 16}{res}{space 2} .0998985{col 28}{space 2} .0065281{col 39}{space 1}   15.30{col 48}{space 3}0.000{col 56}{space 4} .0871036{col 69}{space 3} .1126935
{txt}{space 9}urban {c |}{col 16}{res}{space 2}-.0724317{col 28}{space 2} .0199279{col 39}{space 1}   -3.63{col 48}{space 3}0.000{col 56}{space 4}-.1114898{col 69}{space 3}-.0333737
{txt}{space 8}soct2r {c |}{col 16}{res}{space 2} .1519045{col 28}{space 2} .0110712{col 39}{space 1}   13.72{col 48}{space 3}0.000{col 56}{space 4} .1302052{col 69}{space 3} .1736037
{txt}{space 9}_cons {c |}{col 16}{res}{space 2} 3.785579{col 28}{space 2} .1301324{col 39}{space 1}   29.09{col 48}{space 3}0.000{col 56}{space 4} 3.530524{col 69}{space 3} 4.040634
{txt}{hline 15}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{txt}{hline 29}{c TT}{hline 48}
{col 30}{c |}{col 34}{col 46}Robust{col 63}
{col 3}Random-effects parameters{col 30}{c |}{col 34}Estimate{col 45}std. err.{col 59}[95% conf. interval]
{hline 29}{c +}{hline 48}
{res}country_year{txt}: Identity{col 30}{c |}
{space 18}var(_cons) {c |}{res}{col 33} .1305329{col 44} .0172669{col 58} .1007217{col 70} .1691675
{txt}{hline 29}{c +}{hline 48}
{col 16}var(Residual){col 30}{c |}{res}{col 33} 2.746053{col 44} .0543509{col 58} 2.641567{col 70} 2.854672
{txt}{hline 29}{c BT}{hline 48}

{p 0 9 2}Warning: Sampling weights were 
specified only at the first level 
in a multilevel model. If these weights are 
indicative of overall and not conditional 
inclusion probabilities, then 
{help mixed##sampling:results may be biased}.
{p_end}

{com}. estimates store demBestPolExLibdemModel
{txt}
{com}. 
. // Alternate controlling for ethnic fractionalization
. mixed ing4 c.v2pepwrsoc_rev fe_etfra black indig mestizo otroethn incum_voter cp6r edr quintile female edad urban soct2r [pweight=weight1500] || country_year:, cov(independent)
{txt}{p 0 6}note: single-variable random-{txt}effects specification in {inp:country_year} equation; covariance structure set to {inp:identity}.{p_end}
{res}
{txt}Obtaining starting values by EM ...
{res}
{txt}Performing gradient-based optimization: {res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-247329.13}  
Iteration 1:{space 3}log pseudolikelihood = {res:-247329.13}  
{res}
{txt}Computing standard errors ...
{res}
{txt}Mixed-effects regression{col 49}Number of obs{col 67}={col 69}{res}   142,430
{txt}Group variable: {res}country_year{col 49}{txt}Number of groups{col 67}={col 69}{res}        95
{txt}{col 49}Obs per group:
{col 63}min{col 67}={col 69}{res}       996
{txt}{col 63}avg{col 67}={col 69}{res}   1,499.3
{txt}{col 63}max{col 67}={col 69}{res}     2,893
{col 49}{txt}Wald chi2({res}14{txt}){col 67}={col 70}{res}   686.41
{txt}Log pseudolikelihood = {res}-247329.13{col 49}{txt}Prob > chi2{col 67}={col 73}{res}0.0000

{txt}{ralign 80:(Std. err. adjusted for {res:95} clusters in {res:country_year})}
{hline 15}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 16}{c |}{col 28}    Robust
{col 1}          ing4{col 16}{c |} Coefficient{col 28}  std. err.{col 40}      z{col 48}   P>|z|{col 56}     [95% con{col 69}f. interval]
{hline 15}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
v2pepwrsoc_rev {c |}{col 16}{res}{space 2}-.3049245{col 28}{space 2} .0460669{col 39}{space 1}   -6.62{col 48}{space 3}0.000{col 56}{space 4}-.3952141{col 69}{space 3} -.214635
{txt}{space 6}fe_etfra {c |}{col 16}{res}{space 2} -.346458{col 28}{space 2} .1961644{col 39}{space 1}   -1.77{col 48}{space 3}0.077{col 56}{space 4}-.7309331{col 69}{space 3}  .038017
{txt}{space 9}black {c |}{col 16}{res}{space 2}-.0219591{col 28}{space 2} .0298074{col 39}{space 1}   -0.74{col 48}{space 3}0.461{col 56}{space 4}-.0803804{col 69}{space 3} .0364623
{txt}{space 9}indig {c |}{col 16}{res}{space 2}-.0438126{col 28}{space 2} .0309555{col 39}{space 1}   -1.42{col 48}{space 3}0.157{col 56}{space 4}-.1044842{col 69}{space 3}  .016859
{txt}{space 7}mestizo {c |}{col 16}{res}{space 2} .0286704{col 28}{space 2} .0179828{col 39}{space 1}    1.59{col 48}{space 3}0.111{col 56}{space 4}-.0065753{col 69}{space 3} .0639161
{txt}{space 6}otroethn {c |}{col 16}{res}{space 2}-.0983021{col 28}{space 2} .0391829{col 39}{space 1}   -2.51{col 48}{space 3}0.012{col 56}{space 4}-.1750992{col 69}{space 3} -.021505
{txt}{space 3}incum_voter {c |}{col 16}{res}{space 2} .1384041{col 28}{space 2} .0176557{col 39}{space 1}    7.84{col 48}{space 3}0.000{col 56}{space 4} .1037995{col 69}{space 3} .1730087
{txt}{space 10}cp6r {c |}{col 16}{res}{space 2} .0204167{col 28}{space 2} .0079917{col 39}{space 1}    2.55{col 48}{space 3}0.011{col 56}{space 4} .0047534{col 69}{space 3} .0360801
{txt}{space 11}edr {c |}{col 16}{res}{space 2} .1751492{col 28}{space 2} .0126679{col 39}{space 1}   13.83{col 48}{space 3}0.000{col 56}{space 4} .1503205{col 69}{space 3} .1999778
{txt}{space 5}quintiles {c |}{col 16}{res}{space 2} .0426084{col 28}{space 2} .0070799{col 39}{space 1}    6.02{col 48}{space 3}0.000{col 56}{space 4}  .028732{col 69}{space 3} .0564848
{txt}{space 8}female {c |}{col 16}{res}{space 2}-.0556018{col 28}{space 2} .0126996{col 39}{space 1}   -4.38{col 48}{space 3}0.000{col 56}{space 4}-.0804925{col 69}{space 3}-.0307111
{txt}{space 10}edad {c |}{col 16}{res}{space 2} .0999726{col 28}{space 2} .0065282{col 39}{space 1}   15.31{col 48}{space 3}0.000{col 56}{space 4} .0871776{col 69}{space 3} .1127675
{txt}{space 9}urban {c |}{col 16}{res}{space 2}-.0721057{col 28}{space 2} .0199304{col 39}{space 1}   -3.62{col 48}{space 3}0.000{col 56}{space 4}-.1111686{col 69}{space 3}-.0330429
{txt}{space 8}soct2r {c |}{col 16}{res}{space 2} .1520936{col 28}{space 2} .0110779{col 39}{space 1}   13.73{col 48}{space 3}0.000{col 56}{space 4} .1303814{col 69}{space 3} .1738058
{txt}{space 9}_cons {c |}{col 16}{res}{space 2} 3.994355{col 28}{space 2} .1262015{col 39}{space 1}   31.65{col 48}{space 3}0.000{col 56}{space 4} 3.747005{col 69}{space 3} 4.241705
{txt}{hline 15}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{txt}{hline 29}{c TT}{hline 48}
{col 30}{c |}{col 34}{col 46}Robust{col 63}
{col 3}Random-effects parameters{col 30}{c |}{col 34}Estimate{col 45}std. err.{col 59}[95% conf. interval]
{hline 29}{c +}{hline 48}
{res}country_year{txt}: Identity{col 30}{c |}
{space 18}var(_cons) {c |}{res}{col 33} .1269964{col 44} .0166021{col 58} .0982913{col 70} .1640846
{txt}{hline 29}{c +}{hline 48}
{col 16}var(Residual){col 30}{c |}{res}{col 33} 2.746053{col 44} .0543502{col 58} 2.641569{col 70} 2.854671
{txt}{hline 29}{c BT}{hline 48}

{p 0 9 2}Warning: Sampling weights were 
specified only at the first level 
in a multilevel model. If these weights are 
indicative of overall and not conditional 
inclusion probabilities, then 
{help mixed##sampling:results may be biased}.
{p_end}

{com}. estimates store demBestPolExEFModel
{txt}
{com}. 
. // Alternate no ilevel controls
. mixed ing4 c.v2pepwrsoc_rev [pweight=weight1500] || country_year:, cov(independent)
{txt}{p 0 6}note: single-variable random-{txt}effects specification in {inp:country_year} equation; covariance structure set to {inp:identity}.{p_end}
{res}
{txt}Obtaining starting values by EM ...
{res}
{txt}Performing gradient-based optimization: {res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-289751.24}  
Iteration 1:{space 3}log pseudolikelihood = {res:-289751.24}  (backed up)
{res}
{txt}Computing standard errors ...
{res}
{txt}Mixed-effects regression{col 49}Number of obs{col 67}={col 69}{res}   165,631
{txt}Group variable: {res}country_year{col 49}{txt}Number of groups{col 67}={col 69}{res}       105
{txt}{col 49}Obs per group:
{col 63}min{col 67}={col 69}{res}     1,092
{txt}{col 63}avg{col 67}={col 69}{res}   1,577.4
{txt}{col 63}max{col 67}={col 69}{res}     2,994
{col 49}{txt}Wald chi2({res}1{txt}){col 67}={col 70}{res}    61.28
{txt}Log pseudolikelihood = {res}-289751.24{col 49}{txt}Prob > chi2{col 67}={col 73}{res}0.0000

{txt}{ralign 80:(Std. err. adjusted for {res:105} clusters in {res:country_year})}
{hline 15}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 16}{c |}{col 28}    Robust
{col 1}          ing4{col 16}{c |} Coefficient{col 28}  std. err.{col 40}      z{col 48}   P>|z|{col 56}     [95% con{col 69}f. interval]
{hline 15}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
v2pepwrsoc_rev {c |}{col 16}{res}{space 2}-.3469045{col 28}{space 2} .0443133{col 39}{space 1}   -7.83{col 48}{space 3}0.000{col 56}{space 4} -.433757{col 69}{space 3} -.260052
{txt}{space 9}_cons {c |}{col 16}{res}{space 2} 4.810041{col 28}{space 2} .0547738{col 39}{space 1}   87.82{col 48}{space 3}0.000{col 56}{space 4} 4.702686{col 69}{space 3} 4.917396
{txt}{hline 15}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{txt}{hline 29}{c TT}{hline 48}
{col 30}{c |}{col 34}{col 46}Robust{col 63}
{col 3}Random-effects parameters{col 30}{c |}{col 34}Estimate{col 45}std. err.{col 59}[95% conf. interval]
{hline 29}{c +}{hline 48}
{res}country_year{txt}: Identity{col 30}{c |}
{space 18}var(_cons) {c |}{res}{col 33}  .133682{col 44} .0170567{col 58} .1041038{col 70}  .171664
{txt}{hline 29}{c +}{hline 48}
{col 16}var(Residual){col 30}{c |}{res}{col 33} 2.834235{col 44} .0527477{col 58} 2.732714{col 70} 2.939527
{txt}{hline 29}{c BT}{hline 48}

{p 0 9 2}Warning: Sampling weights were 
specified only at the first level 
in a multilevel model. If these weights are 
indicative of overall and not conditional 
inclusion probabilities, then 
{help mixed##sampling:results may be biased}.
{p_end}

{com}. estimates store demBestPolExNoIlevelModel
{txt}
{com}. 
. // High Democracy Countries
. 
. mixed ing4 c.v2pepwrsoc_rev black indig mestizo otroethn incum_voter cp6r edr quintile female edad urban soct2r [pweight=weight1500] if pais==17 | pais==13 | pais==8 | pais==6 | pais==14 || country_year:, cov(independent)
{txt}{p 0 6}note: single-variable random-{txt}effects specification in {inp:country_year} equation; covariance structure set to {inp:identity}.{p_end}
{res}
{txt}Obtaining starting values by EM ...
{res}
{txt}Performing gradient-based optimization: {res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-73210.945}  
Iteration 1:{space 3}log pseudolikelihood = {res:-73210.945}  (backed up)
{res}
{txt}Computing standard errors ...
{res}
{txt}Mixed-effects regression{col 49}Number of obs{col 67}={col 69}{res}    40,086
{txt}Group variable: {res}country_year{col 49}{txt}Number of groups{col 67}={col 69}{res}        29
{txt}{col 49}Obs per group:
{col 63}min{col 67}={col 69}{res}     1,117
{txt}{col 63}avg{col 67}={col 69}{res}   1,382.3
{txt}{col 63}max{col 67}={col 69}{res}     1,798
{col 49}{txt}Wald chi2({res}13{txt}){col 67}={col 70}{res}   437.01
{txt}Log pseudolikelihood = {res}-73210.945{col 49}{txt}Prob > chi2{col 67}={col 73}{res}0.0000

{txt}{ralign 80:(Std. err. adjusted for {res:29} clusters in {res:country_year})}
{hline 15}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 16}{c |}{col 28}    Robust
{col 1}          ing4{col 16}{c |} Coefficient{col 28}  std. err.{col 40}      z{col 48}   P>|z|{col 56}     [95% con{col 69}f. interval]
{hline 15}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
v2pepwrsoc_rev {c |}{col 16}{res}{space 2}-.3162783{col 28}{space 2} .0573028{col 39}{space 1}   -5.52{col 48}{space 3}0.000{col 56}{space 4}-.4285896{col 69}{space 3}-.2039669
{txt}{space 9}black {c |}{col 16}{res}{space 2}-.1678568{col 28}{space 2} .0484298{col 39}{space 1}   -3.47{col 48}{space 3}0.001{col 56}{space 4}-.2627774{col 69}{space 3}-.0729362
{txt}{space 9}indig {c |}{col 16}{res}{space 2}-.0743636{col 28}{space 2} .0580915{col 39}{space 1}   -1.28{col 48}{space 3}0.201{col 56}{space 4}-.1882209{col 69}{space 3} .0394938
{txt}{space 7}mestizo {c |}{col 16}{res}{space 2}-.0066489{col 28}{space 2} .0350315{col 39}{space 1}   -0.19{col 48}{space 3}0.849{col 56}{space 4}-.0753093{col 69}{space 3} .0620115
{txt}{space 6}otroethn {c |}{col 16}{res}{space 2} -.145362{col 28}{space 2}   .05413{col 39}{space 1}   -2.69{col 48}{space 3}0.007{col 56}{space 4}-.2514549{col 69}{space 3}-.0392691
{txt}{space 3}incum_voter {c |}{col 16}{res}{space 2}   .18445{col 28}{space 2} .0283529{col 39}{space 1}    6.51{col 48}{space 3}0.000{col 56}{space 4} .1288794{col 69}{space 3} .2400207
{txt}{space 10}cp6r {c |}{col 16}{res}{space 2} .0163898{col 28}{space 2}  .011167{col 39}{space 1}    1.47{col 48}{space 3}0.142{col 56}{space 4}-.0054971{col 69}{space 3} .0382767
{txt}{space 11}edr {c |}{col 16}{res}{space 2} .2190973{col 28}{space 2} .0208504{col 39}{space 1}   10.51{col 48}{space 3}0.000{col 56}{space 4} .1782313{col 69}{space 3} .2599634
{txt}{space 5}quintiles {c |}{col 16}{res}{space 2} .0495003{col 28}{space 2} .0117285{col 39}{space 1}    4.22{col 48}{space 3}0.000{col 56}{space 4} .0265128{col 69}{space 3} .0724878
{txt}{space 8}female {c |}{col 16}{res}{space 2}-.0602274{col 28}{space 2} .0236268{col 39}{space 1}   -2.55{col 48}{space 3}0.011{col 56}{space 4}-.1065351{col 69}{space 3}-.0139197
{txt}{space 10}edad {c |}{col 16}{res}{space 2} .1341202{col 28}{space 2}  .010651{col 39}{space 1}   12.59{col 48}{space 3}0.000{col 56}{space 4} .1132446{col 69}{space 3} .1549958
{txt}{space 9}urban {c |}{col 16}{res}{space 2}-.0642801{col 28}{space 2} .0337502{col 39}{space 1}   -1.90{col 48}{space 3}0.057{col 56}{space 4}-.1304293{col 69}{space 3} .0018691
{txt}{space 8}soct2r {c |}{col 16}{res}{space 2} .1393991{col 28}{space 2} .0219077{col 39}{space 1}    6.36{col 48}{space 3}0.000{col 56}{space 4} .0964609{col 69}{space 3} .1823374
{txt}{space 9}_cons {c |}{col 16}{res}{space 2} 3.897417{col 28}{space 2} .1670216{col 39}{space 1}   23.33{col 48}{space 3}0.000{col 56}{space 4}  3.57006{col 69}{space 3} 4.224773
{txt}{hline 15}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{txt}{hline 29}{c TT}{hline 48}
{col 30}{c |}{col 34}{col 46}Robust{col 63}
{col 3}Random-effects parameters{col 30}{c |}{col 34}Estimate{col 45}std. err.{col 59}[95% conf. interval]
{hline 29}{c +}{hline 48}
{res}country_year{txt}: Identity{col 30}{c |}
{space 18}var(_cons) {c |}{res}{col 33} .0704578{col 44} .0208461{col 58} .0394536{col 70} .1258264
{txt}{hline 29}{c +}{hline 48}
{col 16}var(Residual){col 30}{c |}{res}{col 33} 2.359197{col 44} .0764287{col 58} 2.214057{col 70} 2.513853
{txt}{hline 29}{c BT}{hline 48}

{p 0 9 2}Warning: Sampling weights were 
specified only at the first level 
in a multilevel model. If these weights are 
indicative of overall and not conditional 
inclusion probabilities, then 
{help mixed##sampling:results may be biased}.
{p_end}

{com}. estimates store demBestPolExHighDem
{txt}
{com}. 
. // Both types included in same model alternate
. mixed ing4 c.bgi_dec_fear_cent c.v2pepwrsoc_rev black indig mestizo otroethn incum_voter cp6r edr quintile female edad urban soct2r [pweight=weight1500] || country_year:, cov(independent)
{txt}{p 0 6}note: single-variable random-{txt}effects specification in {inp:country_year} equation; covariance structure set to {inp:identity}.{p_end}
{res}
{txt}Obtaining starting values by EM ...
{res}
{txt}Performing gradient-based optimization: {res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-247327.68}  
Iteration 1:{space 3}log pseudolikelihood = {res:-247327.68}  (backed up)
{res}
{txt}Computing standard errors ...
{res}
{txt}Mixed-effects regression{col 49}Number of obs{col 67}={col 69}{res}   142,430
{txt}Group variable: {res}country_year{col 49}{txt}Number of groups{col 67}={col 69}{res}        95
{txt}{col 49}Obs per group:
{col 63}min{col 67}={col 69}{res}       996
{txt}{col 63}avg{col 67}={col 69}{res}   1,499.3
{txt}{col 63}max{col 67}={col 69}{res}     2,893
{col 49}{txt}Wald chi2({res}14{txt}){col 67}={col 70}{res}   684.51
{txt}Log pseudolikelihood = {res}-247327.68{col 49}{txt}Prob > chi2{col 67}={col 73}{res}0.0000

{txt}{ralign 83:(Std. err. adjusted for {res:95} clusters in {res:country_year})}
{hline 18}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 19}{c |}{col 31}    Robust
{col 1}             ing4{col 19}{c |} Coefficient{col 31}  std. err.{col 43}      z{col 51}   P>|z|{col 59}     [95% con{col 72}f. interval]
{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
bgi_dec_fear_cent {c |}{col 19}{res}{space 2}-.0257049{col 31}{space 2} .0089886{col 42}{space 1}   -2.86{col 51}{space 3}0.004{col 59}{space 4}-.0433222{col 72}{space 3}-.0080876
{txt}{space 3}v2pepwrsoc_rev {c |}{col 19}{res}{space 2} -.295086{col 31}{space 2} .0470288{col 42}{space 1}   -6.27{col 51}{space 3}0.000{col 59}{space 4}-.3872607{col 72}{space 3}-.2029112
{txt}{space 12}black {c |}{col 19}{res}{space 2}-.0222413{col 31}{space 2}  .029801{col 42}{space 1}   -0.75{col 51}{space 3}0.455{col 59}{space 4}-.0806501{col 72}{space 3} .0361675
{txt}{space 12}indig {c |}{col 19}{res}{space 2}-.0427162{col 31}{space 2} .0308853{col 42}{space 1}   -1.38{col 51}{space 3}0.167{col 59}{space 4}-.1032502{col 72}{space 3} .0178179
{txt}{space 10}mestizo {c |}{col 19}{res}{space 2} .0289251{col 31}{space 2} .0179909{col 42}{space 1}    1.61{col 51}{space 3}0.108{col 59}{space 4}-.0063365{col 72}{space 3} .0641867
{txt}{space 9}otroethn {c |}{col 19}{res}{space 2}-.0981259{col 31}{space 2} .0392127{col 42}{space 1}   -2.50{col 51}{space 3}0.012{col 59}{space 4}-.1749813{col 72}{space 3}-.0212705
{txt}{space 6}incum_voter {c |}{col 19}{res}{space 2} .1383212{col 31}{space 2} .0176596{col 42}{space 1}    7.83{col 51}{space 3}0.000{col 59}{space 4}  .103709{col 72}{space 3} .1729334
{txt}{space 13}cp6r {c |}{col 19}{res}{space 2} .0204416{col 31}{space 2} .0079884{col 42}{space 1}    2.56{col 51}{space 3}0.010{col 59}{space 4} .0047847{col 72}{space 3} .0360985
{txt}{space 14}edr {c |}{col 19}{res}{space 2} .1750429{col 31}{space 2}  .012661{col 42}{space 1}   13.83{col 51}{space 3}0.000{col 59}{space 4} .1502278{col 72}{space 3}  .199858
{txt}{space 8}quintiles {c |}{col 19}{res}{space 2} .0426646{col 31}{space 2} .0070805{col 42}{space 1}    6.03{col 51}{space 3}0.000{col 59}{space 4}  .028787{col 72}{space 3} .0565422
{txt}{space 11}female {c |}{col 19}{res}{space 2}-.0556054{col 31}{space 2} .0126934{col 42}{space 1}   -4.38{col 51}{space 3}0.000{col 59}{space 4}-.0804841{col 72}{space 3}-.0307267
{txt}{space 13}edad {c |}{col 19}{res}{space 2} .0999594{col 31}{space 2}  .006528{col 42}{space 1}   15.31{col 51}{space 3}0.000{col 59}{space 4} .0871648{col 72}{space 3} .1127541
{txt}{space 12}urban {c |}{col 19}{res}{space 2}-.0721559{col 31}{space 2} .0199195{col 42}{space 1}   -3.62{col 51}{space 3}0.000{col 59}{space 4}-.1111974{col 72}{space 3}-.0331143
{txt}{space 11}soct2r {c |}{col 19}{res}{space 2} .1520678{col 31}{space 2} .0110667{col 42}{space 1}   13.74{col 51}{space 3}0.000{col 59}{space 4} .1303774{col 72}{space 3} .1737582
{txt}{space 12}_cons {c |}{col 19}{res}{space 2} 3.842471{col 31}{space 2} .0896672{col 42}{space 1}   42.85{col 51}{space 3}0.000{col 59}{space 4} 3.666726{col 72}{space 3} 4.018215
{txt}{hline 18}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{txt}{hline 29}{c TT}{hline 48}
{col 30}{c |}{col 34}{col 46}Robust{col 63}
{col 3}Random-effects parameters{col 30}{c |}{col 34}Estimate{col 45}std. err.{col 59}[95% conf. interval]
{hline 29}{c +}{hline 48}
{res}country_year{txt}: Identity{col 30}{c |}
{space 18}var(_cons) {c |}{res}{col 33} .1231097{col 44} .0166565{col 58} .0944336{col 70} .1604937
{txt}{hline 29}{c +}{hline 48}
{col 16}var(Residual){col 30}{c |}{res}{col 33} 2.746053{col 44} .0543503{col 58} 2.641568{col 70} 2.854671
{txt}{hline 29}{c BT}{hline 48}

{p 0 9 2}Warning: Sampling weights were 
specified only at the first level 
in a multilevel model. If these weights are 
indicative of overall and not conditional 
inclusion probabilities, then 
{help mixed##sampling:results may be biased}.
{p_end}

{com}. estimates store demBestBothMainModel
{txt}
{com}. 
. // Bolivia (pais==10) analysis:
. 
. gen postMorales=0
{txt}
{com}. replace postMorales=1 if year>=2005
{txt}(157,416 real changes made)

{com}. gen nonIndig=0
{txt}
{com}. replace nonIndig=1 if white==1 | mestizo==1
{txt}(129,910 real changes made)

{com}. regress ing4 postMorales##(c.indig c.nonIndig) incum_voter cp6r edr quintile female urban soct2r year [pweight=weight1500] if pais==10 & year<=2016, cluster(year)
{txt}(sum of wgt is 8,136.43899657429)

Linear regression                               Number of obs     = {res}    15,177
                                                {txt}{help j_robustsingular:F(4, 5) }          =  {res}        .
                                                {txt}Prob > F          = {res}         .
                                                {txt}R-squared         = {res}    0.0328
                                                {txt}Root MSE          =    {res} 1.4649

{txt}{ralign 88:(Std. err. adjusted for {res:6} clusters in {res:year})}
{hline 23}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 24}{c |}{col 36}    Robust
{col 1}                  ing4{col 24}{c |} Coefficient{col 36}  std. err.{col 48}      t{col 56}   P>|t|{col 64}     [95% con{col 77}f. interval]
{hline 23}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}1.postMorales {c |}{col 24}{res}{space 2} .5053716{col 36}{space 2}  .140263{col 47}{space 1}    3.60{col 56}{space 3}0.015{col 64}{space 4} .1448141{col 77}{space 3} .8659291
{txt}{space 17}indig {c |}{col 24}{res}{space 2} -.454897{col 36}{space 2} .0151071{col 47}{space 1}  -30.11{col 56}{space 3}0.000{col 64}{space 4}-.4937312{col 77}{space 3}-.4160629
{txt}{space 14}nonIndig {c |}{col 24}{res}{space 2}-.1713918{col 36}{space 2} .0149909{col 47}{space 1}  -11.43{col 56}{space 3}0.000{col 64}{space 4}-.2099272{col 77}{space 3}-.1328565
{txt}{space 22} {c |}
{space 3}postMorales#c.indig {c |}
{space 20}1  {c |}{col 24}{res}{space 2} .4072213{col 36}{space 2}  .058331{col 47}{space 1}    6.98{col 56}{space 3}0.001{col 64}{space 4} .2572768{col 77}{space 3} .5571658
{txt}{space 22} {c |}
postMorales#c.nonIndig {c |}
{space 20}1  {c |}{col 24}{res}{space 2} .1571876{col 36}{space 2} .0611832{col 47}{space 1}    2.57{col 56}{space 3}0.050{col 64}{space 4}-.0000889{col 77}{space 3} .3144641
{txt}{space 22} {c |}
{space 11}incum_voter {c |}{col 24}{res}{space 2} .2181755{col 36}{space 2} .0326614{col 47}{space 1}    6.68{col 56}{space 3}0.001{col 64}{space 4} .1342166{col 77}{space 3} .3021343
{txt}{space 18}cp6r {c |}{col 24}{res}{space 2} .0499336{col 36}{space 2} .0138877{col 47}{space 1}    3.60{col 56}{space 3}0.016{col 64}{space 4} .0142341{col 77}{space 3} .0856332
{txt}{space 19}edr {c |}{col 24}{res}{space 2} .1081525{col 36}{space 2} .0485709{col 47}{space 1}    2.23{col 56}{space 3}0.076{col 64}{space 4}-.0167029{col 77}{space 3} .2330079
{txt}{space 13}quintiles {c |}{col 24}{res}{space 2} .0302177{col 36}{space 2} .0105938{col 47}{space 1}    2.85{col 56}{space 3}0.036{col 64}{space 4} .0029855{col 77}{space 3} .0574499
{txt}{space 16}female {c |}{col 24}{res}{space 2}-.0609117{col 36}{space 2} .0237732{col 47}{space 1}   -2.56{col 56}{space 3}0.051{col 64}{space 4}-.1220226{col 77}{space 3} .0001991
{txt}{space 17}urban {c |}{col 24}{res}{space 2} -.129734{col 36}{space 2}  .044577{col 47}{space 1}   -2.91{col 56}{space 3}0.033{col 64}{space 4}-.2443228{col 77}{space 3}-.0151453
{txt}{space 16}soct2r {c |}{col 24}{res}{space 2} .0898504{col 36}{space 2} .0400413{col 47}{space 1}    2.24{col 56}{space 3}0.075{col 64}{space 4} -.013079{col 77}{space 3} .1927798
{txt}{space 18}year {c |}{col 24}{res}{space 2}-.0731713{col 36}{space 2} .0141376{col 47}{space 1}   -5.18{col 56}{space 3}0.004{col 64}{space 4}-.1095132{col 77}{space 3}-.0368294
{txt}{space 17}_cons {c |}{col 24}{res}{space 2} 151.2043{col 36}{space 2} 28.32478{col 47}{space 1}    5.34{col 56}{space 3}0.003{col 64}{space 4}  78.3931{col 77}{space 3} 224.0154
{txt}{hline 23}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. est store bolivia
{txt}
{com}. margins, atmeans at(postMorales=(0 1) indig=(1) nonIndig=(0)) at(postMorales=(0 1) indig=(0) nonIndig=(1))  post
{res}
{txt}{col 1}Adjusted predictions{col 57}{lalign 13:Number of obs}{col 70} = {res}{ralign 6:15,177}
{txt}{col 1}Model VCE: {res:Robust}

{txt}{p2colset 1 13 13 2}{...}
{p2col:Expression:}{res:Linear prediction, predict()}{p_end}
{p2colreset}{...}
{lalign 7:1._at: }{space 0}{lalign 11:postMorales} = {res:{ralign 8:0}}
{lalign 7:}{space 0}{lalign 11:indig} = {res:{ralign 8:1}}
{lalign 7:}{space 0}{lalign 11:nonIndig} = {res:{ralign 8:0}}
{lalign 7:}{space 0}{lalign 11:incum_voter} = {res:{ralign 8:.3205825}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 11:cp6r} = {res:{ralign 8:1.400774}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 11:edr} = {res:{ralign 8:2.053746}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 11:quintiles} = {res:{ralign 8:3.090363}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 11:female} = {res:{ralign 8:.4888484}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 11:urban} = {res:{ralign 8:.7027872}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 11:soct2r} = {res:{ralign 8:1.885177}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 11:year} = {res:{ralign 8:2010.676}} {txt:(mean)}
{lalign 7:2._at: }{space 0}{lalign 11:postMorales} = {res:{ralign 8:1}}
{lalign 7:}{space 0}{lalign 11:indig} = {res:{ralign 8:1}}
{lalign 7:}{space 0}{lalign 11:nonIndig} = {res:{ralign 8:0}}
{lalign 7:}{space 0}{lalign 11:incum_voter} = {res:{ralign 8:.3205825}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 11:cp6r} = {res:{ralign 8:1.400774}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 11:edr} = {res:{ralign 8:2.053746}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 11:quintiles} = {res:{ralign 8:3.090363}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 11:female} = {res:{ralign 8:.4888484}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 11:urban} = {res:{ralign 8:.7027872}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 11:soct2r} = {res:{ralign 8:1.885177}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 11:year} = {res:{ralign 8:2010.676}} {txt:(mean)}
{lalign 7:3._at: }{space 0}{lalign 11:postMorales} = {res:{ralign 8:0}}
{lalign 7:}{space 0}{lalign 11:indig} = {res:{ralign 8:0}}
{lalign 7:}{space 0}{lalign 11:nonIndig} = {res:{ralign 8:1}}
{lalign 7:}{space 0}{lalign 11:incum_voter} = {res:{ralign 8:.3205825}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 11:cp6r} = {res:{ralign 8:1.400774}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 11:edr} = {res:{ralign 8:2.053746}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 11:quintiles} = {res:{ralign 8:3.090363}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 11:female} = {res:{ralign 8:.4888484}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 11:urban} = {res:{ralign 8:.7027872}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 11:soct2r} = {res:{ralign 8:1.885177}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 11:year} = {res:{ralign 8:2010.676}} {txt:(mean)}
{lalign 7:4._at: }{space 0}{lalign 11:postMorales} = {res:{ralign 8:1}}
{lalign 7:}{space 0}{lalign 11:indig} = {res:{ralign 8:0}}
{lalign 7:}{space 0}{lalign 11:nonIndig} = {res:{ralign 8:1}}
{lalign 7:}{space 0}{lalign 11:incum_voter} = {res:{ralign 8:.3205825}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 11:cp6r} = {res:{ralign 8:1.400774}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 11:edr} = {res:{ralign 8:2.053746}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 11:quintiles} = {res:{ralign 8:3.090363}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 11:female} = {res:{ralign 8:.4888484}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 11:urban} = {res:{ralign 8:.7027872}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 11:soct2r} = {res:{ralign 8:1.885177}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 11:year} = {res:{ralign 8:2010.676}} {txt:(mean)}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}     Margin{col 26}   std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}_at {c |}
{space 10}1  {c |}{col 14}{res}{space 2} 4.129323{col 26}{space 2} .0991504{col 37}{space 1}   41.65{col 46}{space 3}0.000{col 54}{space 4} 3.874449{col 67}{space 3} 4.384198
{txt}{space 10}2  {c |}{col 14}{res}{space 2} 5.041916{col 26}{space 2} .0719172{col 37}{space 1}   70.11{col 46}{space 3}0.000{col 54}{space 4} 4.857047{col 67}{space 3} 5.226785
{txt}{space 10}3  {c |}{col 14}{res}{space 2} 4.412829{col 26}{space 2} .1023865{col 37}{space 1}   43.10{col 46}{space 3}0.000{col 54}{space 4} 4.149636{col 67}{space 3} 4.676021
{txt}{space 10}4  {c |}{col 14}{res}{space 2} 5.075388{col 26}{space 2} .0699709{col 37}{space 1}   72.54{col 46}{space 3}0.000{col 54}{space 4} 4.895522{col 67}{space 3} 5.255254
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. est store moralesXeth
{txt}
{com}. marginsplot, ///
>         plotopts(recast(scatter) mcolor(black) lcolor(black) connect(line)) ///
>         plot1opts(lpattern(dash) msymbol(T)) plot2opts(lpattern(solid) msymbol(S)) noci  ///
>         title("") xtitle("Post-Morales") xscale(range(-.50 1.5)) ///
>         xlabel(0 "No" 1 "Yes") ///
>         ytitle("Predicted Support for Democracy") ///
>         legend(order(1 "Indigenous" 2 "White/Mestizo")) ///
>         graphregion(color(gs15)) scale(1.2)
{res}
{text}{p 0 0 2}Variables that uniquely identify margins: {bf:postMorales _atopt}{p_end}
{text}Multiple {bf:at()} options specified:
{text}{p 6 10 2}_atoption=1: (mean) _factor (mean) _continuous postMorales=(0 1) indig=(1) nonIndig=(0){p_end}
{text}{p 6 10 2}_atoption=2: (mean) _factor (mean) _continuous postMorales=(0 1) indig=(0) nonIndig=(1){p_end}
{res}{txt}
{com}. graph save "boliviaPoP.gph", replace
{res}{txt}file {bf:boliviaPoP.gph} saved

{com}. graph export "boliviaPoP.pdf", as(pdf) replace
{txt}{p 0 4 2}
file {bf}
boliviaPoP.pdf{rm}
saved as
PDF
format
{p_end}

{com}. 
. esttab bolivia using "boliviaPoP.txt", replace tex b(3) se(3) r2(3) label alignment(.) nomtitles numbers nogaps compress title("Appendix D: Support for Democracy in Bolivia")
{res}{txt}(output written to {browse  `"boliviaPoP.txt"'})

{com}. 
. // Placebo Analysis
. 
. drop if pais==17 | pais==15 | pais==13 | pais==12 | pais==11 | pais==16 | pais==14 // dropping those without pre Morales data
{txt}(54,216 observations deleted)

{com}. 
. regress ing4 postMorales##(c.indig c.nonIndig) incum_voter cp6r edr quintile female urban soct2r year [pweight=weight1500] if pais!=10 & year<=2016, cluster(year)
{txt}(sum of wgt is 75,743.2757079006)

Linear regression                               Number of obs     = {res}    80,767
                                                {txt}{help j_robustsingular:F(6, 6) }          =  {res}        .
                                                {txt}Prob > F          = {res}         .
                                                {txt}R-squared         = {res}    0.0181
                                                {txt}Root MSE          =    {res} 1.7477

{txt}{ralign 88:(Std. err. adjusted for {res:7} clusters in {res:year})}
{hline 23}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 24}{c |}{col 36}    Robust
{col 1}                  ing4{col 24}{c |} Coefficient{col 36}  std. err.{col 48}      t{col 56}   P>|t|{col 64}     [95% con{col 77}f. interval]
{hline 23}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}1.postMorales {c |}{col 24}{res}{space 2} .5936692{col 36}{space 2} .1230462{col 47}{space 1}    4.82{col 56}{space 3}0.003{col 64}{space 4} .2925858{col 77}{space 3} .8947525
{txt}{space 17}indig {c |}{col 24}{res}{space 2} .3757502{col 36}{space 2} .0076799{col 47}{space 1}   48.93{col 56}{space 3}0.000{col 64}{space 4} .3569581{col 77}{space 3} .3945424
{txt}{space 14}nonIndig {c |}{col 24}{res}{space 2} .1721177{col 36}{space 2} .0085284{col 47}{space 1}   20.18{col 56}{space 3}0.000{col 64}{space 4} .1512494{col 77}{space 3} .1929859
{txt}{space 22} {c |}
{space 3}postMorales#c.indig {c |}
{space 20}1  {c |}{col 24}{res}{space 2}-.5510832{col 36}{space 2} .0661362{col 47}{space 1}   -8.33{col 56}{space 3}0.000{col 64}{space 4}-.7129127{col 77}{space 3}-.3892538
{txt}{space 22} {c |}
postMorales#c.nonIndig {c |}
{space 20}1  {c |}{col 24}{res}{space 2}-.1911274{col 36}{space 2} .0532138{col 47}{space 1}   -3.59{col 56}{space 3}0.011{col 64}{space 4}-.3213368{col 77}{space 3}-.0609181
{txt}{space 22} {c |}
{space 11}incum_voter {c |}{col 24}{res}{space 2} .1882245{col 36}{space 2} .0231084{col 47}{space 1}    8.15{col 56}{space 3}0.000{col 64}{space 4} .1316804{col 77}{space 3} .2447686
{txt}{space 18}cp6r {c |}{col 24}{res}{space 2} .0276577{col 36}{space 2} .0148469{col 47}{space 1}    1.86{col 56}{space 3}0.112{col 64}{space 4}-.0086713{col 77}{space 3} .0639867
{txt}{space 19}edr {c |}{col 24}{res}{space 2} .1035721{col 36}{space 2} .0219177{col 47}{space 1}    4.73{col 56}{space 3}0.003{col 64}{space 4} .0499413{col 77}{space 3} .1572029
{txt}{space 13}quintiles {c |}{col 24}{res}{space 2} .0202197{col 36}{space 2} .0092988{col 47}{space 1}    2.17{col 56}{space 3}0.073{col 64}{space 4}-.0025337{col 77}{space 3}  .042973
{txt}{space 16}female {c |}{col 24}{res}{space 2} -.083694{col 36}{space 2} .0176168{col 47}{space 1}   -4.75{col 56}{space 3}0.003{col 64}{space 4}-.1268009{col 77}{space 3}-.0405872
{txt}{space 17}urban {c |}{col 24}{res}{space 2}-.0349684{col 36}{space 2} .0230737{col 47}{space 1}   -1.52{col 56}{space 3}0.180{col 64}{space 4}-.0914278{col 77}{space 3} .0214909
{txt}{space 16}soct2r {c |}{col 24}{res}{space 2} .1779402{col 36}{space 2} .0359714{col 47}{space 1}    4.95{col 56}{space 3}0.003{col 64}{space 4} .0899213{col 77}{space 3} .2659591
{txt}{space 18}year {c |}{col 24}{res}{space 2}-.0304094{col 36}{space 2} .0189543{col 47}{space 1}   -1.60{col 56}{space 3}0.160{col 64}{space 4}-.0767889{col 77}{space 3} .0159701
{txt}{space 17}_cons {c |}{col 24}{res}{space 2} 65.05675{col 36}{space 2} 37.95839{col 47}{space 1}    1.71{col 56}{space 3}0.137{col 64}{space 4}-27.82409{col 77}{space 3} 157.9376
{txt}{hline 23}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. est store notbolivia
{txt}
{com}. margins, atmeans at(postMorales=(0 1) indig=(1) nonIndig=(0)) at(postMorales=(0 1) indig=(0) nonIndig=(1))  post
{res}
{txt}{col 1}Adjusted predictions{col 57}{lalign 13:Number of obs}{col 70} = {res}{ralign 6:80,767}
{txt}{col 1}Model VCE: {res:Robust}

{txt}{p2colset 1 13 13 2}{...}
{p2col:Expression:}{res:Linear prediction, predict()}{p_end}
{p2colreset}{...}
{lalign 7:1._at: }{space 0}{lalign 11:postMorales} = {res:{ralign 8:0}}
{lalign 7:}{space 0}{lalign 11:indig} = {res:{ralign 8:1}}
{lalign 7:}{space 0}{lalign 11:nonIndig} = {res:{ralign 8:0}}
{lalign 7:}{space 0}{lalign 11:incum_voter} = {res:{ralign 8:.3507199}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 11:cp6r} = {res:{ralign 8:1.542159}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 11:edr} = {res:{ralign 8:1.740801}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 11:quintiles} = {res:{ralign 8:3.007771}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 11:female} = {res:{ralign 8:.4948188}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 11:urban} = {res:{ralign 8:.6515557}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 11:soct2r} = {res:{ralign 8:1.646384}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 11:year} = {res:{ralign 8:2010.822}} {txt:(mean)}
{lalign 7:2._at: }{space 0}{lalign 11:postMorales} = {res:{ralign 8:1}}
{lalign 7:}{space 0}{lalign 11:indig} = {res:{ralign 8:1}}
{lalign 7:}{space 0}{lalign 11:nonIndig} = {res:{ralign 8:0}}
{lalign 7:}{space 0}{lalign 11:incum_voter} = {res:{ralign 8:.3507199}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 11:cp6r} = {res:{ralign 8:1.542159}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 11:edr} = {res:{ralign 8:1.740801}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 11:quintiles} = {res:{ralign 8:3.007771}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 11:female} = {res:{ralign 8:.4948188}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 11:urban} = {res:{ralign 8:.6515557}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 11:soct2r} = {res:{ralign 8:1.646384}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 11:year} = {res:{ralign 8:2010.822}} {txt:(mean)}
{lalign 7:3._at: }{space 0}{lalign 11:postMorales} = {res:{ralign 8:0}}
{lalign 7:}{space 0}{lalign 11:indig} = {res:{ralign 8:0}}
{lalign 7:}{space 0}{lalign 11:nonIndig} = {res:{ralign 8:1}}
{lalign 7:}{space 0}{lalign 11:incum_voter} = {res:{ralign 8:.3507199}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 11:cp6r} = {res:{ralign 8:1.542159}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 11:edr} = {res:{ralign 8:1.740801}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 11:quintiles} = {res:{ralign 8:3.007771}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 11:female} = {res:{ralign 8:.4948188}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 11:urban} = {res:{ralign 8:.6515557}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 11:soct2r} = {res:{ralign 8:1.646384}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 11:year} = {res:{ralign 8:2010.822}} {txt:(mean)}
{lalign 7:4._at: }{space 0}{lalign 11:postMorales} = {res:{ralign 8:1}}
{lalign 7:}{space 0}{lalign 11:indig} = {res:{ralign 8:0}}
{lalign 7:}{space 0}{lalign 11:nonIndig} = {res:{ralign 8:1}}
{lalign 7:}{space 0}{lalign 11:incum_voter} = {res:{ralign 8:.3507199}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 11:cp6r} = {res:{ralign 8:1.542159}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 11:edr} = {res:{ralign 8:1.740801}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 11:quintiles} = {res:{ralign 8:3.007771}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 11:female} = {res:{ralign 8:.4948188}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 11:urban} = {res:{ralign 8:.6515557}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 11:soct2r} = {res:{ralign 8:1.646384}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 11:year} = {res:{ralign 8:2010.822}} {txt:(mean)}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}     Margin{col 26}   std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}_at {c |}
{space 10}1  {c |}{col 14}{res}{space 2} 4.863111{col 26}{space 2} .1303605{col 37}{space 1}   37.31{col 46}{space 3}0.000{col 54}{space 4} 4.544131{col 67}{space 3} 5.182092
{txt}{space 10}2  {c |}{col 14}{res}{space 2} 4.905697{col 26}{space 2} .0607667{col 37}{space 1}   80.73{col 46}{space 3}0.000{col 54}{space 4} 4.757007{col 67}{space 3} 5.054388
{txt}{space 10}3  {c |}{col 14}{res}{space 2} 4.659479{col 26}{space 2} .1341937{col 37}{space 1}   34.72{col 46}{space 3}0.000{col 54}{space 4} 4.331119{col 67}{space 3} 4.987839
{txt}{space 10}4  {c |}{col 14}{res}{space 2} 5.062021{col 26}{space 2} .0524551{col 37}{space 1}   96.50{col 46}{space 3}0.000{col 54}{space 4} 4.933668{col 67}{space 3} 5.190373
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. est store moralesXeth
{txt}
{com}. marginsplot, ///
>         plotopts(recast(scatter) mcolor(black) lcolor(black)) ///
>         plot1opts(msymbol(T) mcolor(gray)) plot2opts(msymbol(S))  ///
>         title("") xtitle("Post-Morales") xscale(range(-.50 1.5)) ///
>         xlabel(0 "No" 1 "Yes") ///
>         ytitle("Predicted Support for Democracy") ///
>         legend(order(3 "Indigenous" 4 "White/Mestizo")) ///
>         graphregion(color(gs15)) scale(1.2)
{res}
{text}{p 0 0 2}Variables that uniquely identify margins: {bf:postMorales _atopt}{p_end}
{text}Multiple {bf:at()} options specified:
{text}{p 6 10 2}_atoption=1: (mean) _factor (mean) _continuous postMorales=(0 1) indig=(1) nonIndig=(0){p_end}
{text}{p 6 10 2}_atoption=2: (mean) _factor (mean) _continuous postMorales=(0 1) indig=(0) nonIndig=(1){p_end}
{res}{txt}
{com}. graph save "boliviaDemPlacebo_PoP.gph", replace
{res}{txt}file {bf:boliviaDemPlacebo_PoP.gph} saved

{com}. graph export "boliviaDemPlacebo_PoP.pdf", as(pdf) replace
{txt}{p 0 4 2}
file {bf}
boliviaDemPlacebo_PoP.pdf{rm}
saved as
PDF
format
{p_end}

{com}. 
. esttab bolivia notbolivia using "boliviaPoP.txt", replace tex b(3) se(3) r2(3) label alignment(.) nomtitles numbers nogaps compress title("Appendix D: Support for Democracy in Bolivia and Placebo Test of Inclusion Effect")
{res}{txt}(output written to {browse  `"boliviaPoP.txt"'})

{com}. 
. 
. 
. 
. ********************************************************************************************************************************************
. *****Support for Principles of Traditional Democratic Expression, demprin_i*****
. ********************************************************************************************************************************************
. 
. 
. *****Cross-National Analysis*****
. 
. use "PoPilevelData.dta",clear
{txt}
{com}. 
. // Cross National Correlation Between BGI and Support for Democracy
. collapse demprin_i bgi_dec_fear v2pepwrsoc_rev, by(pais year)
{res}{txt}
{com}. pwcorr demprin_i bgi_dec_fear, sig

             {txt}{c |} dempri~i bgi_de~r
{hline 13}{c +}{hline 18}
   demprin_i {c |} {res}  1.0000 
             {txt}{c |}
             {c |}
bgi_dec_fear {c |} {res} -0.5302   1.0000 
             {txt}{c |}{res}   0.0000
             {txt}{c |}

{com}. twoway /// 
>         (scatter demprin_i bgi_dec_fear, ///
>                 mcolor(black) graphregion(color(gs15)) ///
>                 legend(off) xtitle("Between Group Inequality") ///
>                 ytitle("Support for Democratic Principles")) ///
>         (lfit demprin_i bgi_dec_fear, /// 
>                 lcolor(black) graphregion(color(gs15)))
{res}{txt}
{com}. graph save "bgiDemprinScatterPoP.gph", replace
{res}{txt}file {bf:bgiDemprinScatterPoP.gph} saved

{com}. graph export "bgiDemprinScatterPoP.pdf", as(pdf) replace
{txt}{p 0 4 2}
file {bf}
bgiDemprinScatterPoP.pdf{rm}
saved as
PDF
format
{p_end}

{com}. graph export "bgiDemprinScatterPoP.svg", as(svg) replace
{txt}{p 0 4 2}
file {bf}
bgiDemprinScatterPoP.svg{rm}
saved as
SVG
format
{p_end}

{com}. 
. 
. // Cross National Correlation Between Political Exclusion and Support for Democracy
. pwcorr demprin_i v2pepwrsoc_rev, sig

             {txt}{c |} dempri~i v2pepw~v
{hline 13}{c +}{hline 18}
   demprin_i {c |} {res}  1.0000 
             {txt}{c |}
             {c |}
v2pepwrsoc~v {c |} {res} -0.2421   1.0000 
             {txt}{c |}{res}   0.0540
             {txt}{c |}

{com}. twoway /// 
>         (scatter demprin_i v2pepwrsoc_rev, ///
>                 mcolor(black) graphregion(color(gs15)) ///
>                 legend(off) xtitle("Political Exclusion") ///
>                 ytitle("Support for Democratic Principles")) ///
>         (lfit demprin_i v2pepwrsoc_rev, /// 
>                 lcolor(black) graphregion(color(gs15)))
{res}{txt}
{com}. graph save "polExclusionDemprinScatterPoP.gph", replace
{res}{txt}file {bf:polExclusionDemprinScatterPoP.gph} saved

{com}. graph export "polExclusionDemprinScatterPoP.pdf", as(pdf) replace
{txt}{p 0 4 2}
file {bf}
polExclusionDemprinScatterPoP.pdf{rm}
saved as
PDF
format
{p_end}

{com}. graph export "polExclusionDemprinScatterPoP.svg", as(svg) replace
{txt}{p 0 4 2}
file {bf}
polExclusionDemprinScatterPoP.svg{rm}
saved as
SVG
format
{p_end}

{com}. 
. 
. 
. *****I-level bgi Analysis*****
. 
. use "PoPilevelData.dta", clear
{txt}
{com}. 
. // Calculate ICC
. 
. mixed demprin_i [pweight=weight1500] || country_year: , cov(independent)
{txt}{p 0 6}note: single-variable random-{txt}effects specification in {inp:country_year} equation; covariance structure set to {inp:identity}.{p_end}
{res}
{txt}Obtaining starting values by EM ...
{res}
{txt}Performing gradient-based optimization: {res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-204352.85}  
Iteration 1:{space 3}log pseudolikelihood = {res:-204352.85}  (backed up)
{res}
{txt}Computing standard errors ...
{res}
{txt}Mixed-effects regression{col 49}Number of obs{col 67}={col 69}{res}   104,013
{txt}Group variable: {res}country_year{col 49}{txt}Number of groups{col 67}={col 69}{res}        64
{txt}{col 49}Obs per group:
{col 63}min{col 67}={col 69}{res}     1,151
{txt}{col 63}avg{col 67}={col 69}{res}   1,625.2
{txt}{col 63}max{col 67}={col 69}{res}     2,965
{col 49}{txt}Wald chi2({res}0{txt}){col 67}={col 70}{res}        .
{txt}Log pseudolikelihood = {res}-204352.85{col 49}{txt}Prob > chi2{col 67}={col 73}{res}     .

{txt}{ralign 78:(Std. err. adjusted for {res:64} clusters in {res:country_year})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}   demprin_i{col 14}{c |} Coefficient{col 26}  std. err.{col 38}      z{col 46}   P>|z|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}_cons {c |}{col 14}{res}{space 2}  6.25792{col 26}{space 2} .0850251{col 37}{space 1}   73.60{col 46}{space 3}0.000{col 54}{space 4} 6.091274{col 67}{space 3} 6.424566
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{txt}{hline 29}{c TT}{hline 48}
{col 30}{c |}{col 34}{col 46}Robust{col 63}
{col 3}Random-effects parameters{col 30}{c |}{col 34}Estimate{col 45}std. err.{col 59}[95% conf. interval]
{hline 29}{c +}{hline 48}
{res}country_year{txt}: Identity{col 30}{c |}
{space 18}var(_cons) {c |}{res}{col 33}  .452485{col 44} .0693189{col 58} .3351224{col 70} .6109488
{txt}{hline 29}{c +}{hline 48}
{col 16}var(Residual){col 30}{c |}{res}{col 33} 4.376785{col 44} .0999414{col 58} 4.185222{col 70} 4.577116
{txt}{hline 29}{c BT}{hline 48}

{p 0 9 2}Warning: Sampling weights were 
specified only at the first level 
in a multilevel model. If these weights are 
indicative of overall and not conditional 
inclusion probabilities, then 
{help mixed##sampling:results may be biased}.
{p_end}

{com}. 
. estat icc // calculates interclass correlation coefficient

{txt}Intraclass correlation

{res}{col 1}{text}{hline 29}{c TT}{hline 12}{hline 12}{hline 12}{hline 12}
{col 1}{text}                       Level{col 30}{c |}        ICC{col 43}  Std. err.{col 55}    [95% conf. interval]
{res}{col 1}{text}{hline 29}{c +}{hline 12}{hline 12}{hline 12}{hline 12}
{col 1}{text}                country_year{col 30}{c |}{result}{space 2} .0936963{col 43}{space 1} .0129705{col 55}{space 3} .0711811{col 67}{space 3} .1223948
{col 1}{text}{hline 29}{c BT}{hline 12}{hline 12}{hline 12}{hline 12}
{res}{txt}
{com}. 
. // Model 1a
. mixed demprin_i c.bgi_dec_fear_cent black indig mestizo otroethn incum_voter cp6r edr quintile female edad urban soct2r [pweight=weight1500] || country_year:, cov(independent)
{txt}{p 0 6}note: single-variable random-{txt}effects specification in {inp:country_year} equation; covariance structure set to {inp:identity}.{p_end}
{res}
{txt}Obtaining starting values by EM ...
{res}
{txt}Performing gradient-based optimization: {res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-181888.24}  
Iteration 1:{space 3}log pseudolikelihood = {res:-181888.24}  
{res}
{txt}Computing standard errors ...
{res}
{txt}Mixed-effects regression{col 49}Number of obs{col 67}={col 69}{res}    92,362
{txt}Group variable: {res}country_year{col 49}{txt}Number of groups{col 67}={col 69}{res}        61
{txt}{col 49}Obs per group:
{col 63}min{col 67}={col 69}{res}     1,053
{txt}{col 63}avg{col 67}={col 69}{res}   1,514.1
{txt}{col 63}max{col 67}={col 69}{res}     2,822
{col 49}{txt}Wald chi2({res}13{txt}){col 67}={col 70}{res}   367.91
{txt}Log pseudolikelihood = {res}-181888.24{col 49}{txt}Prob > chi2{col 67}={col 73}{res}0.0000

{txt}{ralign 83:(Std. err. adjusted for {res:61} clusters in {res:country_year})}
{hline 18}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 19}{c |}{col 31}    Robust
{col 1}        demprin_i{col 19}{c |} Coefficient{col 31}  std. err.{col 43}      z{col 51}   P>|z|{col 59}     [95% con{col 72}f. interval]
{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
bgi_dec_fear_cent {c |}{col 19}{res}{space 2}-.1116888{col 31}{space 2}  .016227{col 42}{space 1}   -6.88{col 51}{space 3}0.000{col 59}{space 4}-.1434931{col 72}{space 3}-.0798845
{txt}{space 12}black {c |}{col 19}{res}{space 2} .1019272{col 31}{space 2} .0598654{col 42}{space 1}    1.70{col 51}{space 3}0.089{col 59}{space 4}-.0154068{col 72}{space 3} .2192612
{txt}{space 12}indig {c |}{col 19}{res}{space 2} .1245617{col 31}{space 2} .0561124{col 42}{space 1}    2.22{col 51}{space 3}0.026{col 59}{space 4} .0145833{col 72}{space 3} .2345401
{txt}{space 10}mestizo {c |}{col 19}{res}{space 2} .0947479{col 31}{space 2} .0343288{col 42}{space 1}    2.76{col 51}{space 3}0.006{col 59}{space 4} .0274647{col 72}{space 3}  .162031
{txt}{space 9}otroethn {c |}{col 19}{res}{space 2} .0798053{col 31}{space 2} .0828051{col 42}{space 1}    0.96{col 51}{space 3}0.335{col 59}{space 4}-.0824897{col 72}{space 3} .2421003
{txt}{space 6}incum_voter {c |}{col 19}{res}{space 2} .1034367{col 31}{space 2} .0330201{col 42}{space 1}    3.13{col 51}{space 3}0.002{col 59}{space 4} .0387185{col 72}{space 3}  .168155
{txt}{space 13}cp6r {c |}{col 19}{res}{space 2} .0021875{col 31}{space 2} .0160224{col 42}{space 1}    0.14{col 51}{space 3}0.891{col 59}{space 4}-.0292158{col 72}{space 3} .0335909
{txt}{space 14}edr {c |}{col 19}{res}{space 2} .2500025{col 31}{space 2} .0231966{col 42}{space 1}   10.78{col 51}{space 3}0.000{col 59}{space 4}  .204538{col 72}{space 3}  .295467
{txt}{space 8}quintiles {c |}{col 19}{res}{space 2} .0293008{col 31}{space 2} .0099716{col 42}{space 1}    2.94{col 51}{space 3}0.003{col 59}{space 4} .0097568{col 72}{space 3} .0488448
{txt}{space 11}female {c |}{col 19}{res}{space 2}-.1396927{col 31}{space 2} .0188958{col 42}{space 1}   -7.39{col 51}{space 3}0.000{col 59}{space 4}-.1767277{col 72}{space 3}-.1026577
{txt}{space 13}edad {c |}{col 19}{res}{space 2} .0144064{col 31}{space 2} .0115539{col 42}{space 1}    1.25{col 51}{space 3}0.212{col 59}{space 4}-.0082388{col 72}{space 3} .0370515
{txt}{space 12}urban {c |}{col 19}{res}{space 2}-.0706759{col 31}{space 2} .0292713{col 42}{space 1}   -2.41{col 51}{space 3}0.016{col 59}{space 4}-.1280465{col 72}{space 3}-.0133053
{txt}{space 11}soct2r {c |}{col 19}{res}{space 2} .0557965{col 31}{space 2} .0176471{col 42}{space 1}    3.16{col 51}{space 3}0.002{col 59}{space 4} .0212088{col 72}{space 3} .0903841
{txt}{space 12}_cons {c |}{col 19}{res}{space 2} 5.552036{col 31}{space 2} .1208358{col 42}{space 1}   45.95{col 51}{space 3}0.000{col 59}{space 4} 5.315202{col 72}{space 3}  5.78887
{txt}{hline 18}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{txt}{hline 29}{c TT}{hline 48}
{col 30}{c |}{col 34}{col 46}Robust{col 63}
{col 3}Random-effects parameters{col 30}{c |}{col 34}Estimate{col 45}std. err.{col 59}[95% conf. interval]
{hline 29}{c +}{hline 48}
{res}country_year{txt}: Identity{col 30}{c |}
{space 18}var(_cons) {c |}{res}{col 33} .3156725{col 44} .0636169{col 58} .2126648{col 70} .4685735
{txt}{hline 29}{c +}{hline 48}
{col 16}var(Residual){col 30}{c |}{res}{col 33} 4.300955{col 44} .1063227{col 58} 4.097534{col 70} 4.514474
{txt}{hline 29}{c BT}{hline 48}

{p 0 9 2}Warning: Sampling weights were 
specified only at the first level 
in a multilevel model. If these weights are 
indicative of overall and not conditional 
inclusion probabilities, then 
{help mixed##sampling:results may be biased}.
{p_end}

{com}. estimates store demPrinBgiMainModel
{txt}
{com}. sum bgi_dec_fear_cent

{txt}    Variable {c |}        Obs        Mean    Std. dev.       Min        Max
{hline 13}{c +}{hline 57}
bgi_dec_fe~t {c |}{res}    167,412   -.1146577    3.730021  -4.640333   9.444098
{txt}
{com}. local minbgi=round(r(min),.1)
{txt}
{com}. local maxbgi=round(r(max),.1)
{txt}
{com}. 
. // Chart those effects, predicted values:
. 
. estimates restore demPrinBgiMainModel
{txt}(results {stata estimates replay demPrinBgiMainModel:demPrinBgiMainModel} are active now)

{com}. margins, atmeans at(bgi_dec_fear_cent=(`minbgi'(.1)`maxbgi')) post
{res}
{txt}{col 1}Adjusted predictions{col 57}{lalign 13:Number of obs}{col 70} = {res}{ralign 6:92,362}
{txt}{col 1}Model VCE: {res:Robust}

{txt}{p2colset 1 13 13 2}{...}
{p2col:Expression:}{res:Linear prediction, fixed portion, predict()}{p_end}
{p2colreset}{...}
{lalign 9:1._at: }{space 0}{lalign 16:bgi_dec_fear_c~t} = {res:{ralign 8:-4.6}}
{lalign 9:}{space 0}{lalign 16:black} = {res:{ralign 8:.0861167}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:indig} = {res:{ralign 8:.0662997}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:mestizo} = {res:{ralign 8:.5058735}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:otroethn} = {res:{ralign 8:.0174047}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:incum_voter} = {res:{ralign 8:.3593217}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:cp6r} = {res:{ralign 8:1.347442}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edr} = {res:{ralign 8:1.811249}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:quintiles} = {res:{ralign 8:2.98375}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:female} = {res:{ralign 8:.5036741}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edad} = {res:{ralign 8:2.823236}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:urban} = {res:{ralign 8:.7002091}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:soct2r} = {res:{ralign 8:1.781574}} {txt:(mean)}
{lalign 9:2._at: }{space 0}{lalign 16:bgi_dec_fear_c~t} = {res:{ralign 8:-4.5}}
{lalign 9:}{space 0}{lalign 16:black} = {res:{ralign 8:.0861167}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:indig} = {res:{ralign 8:.0662997}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:mestizo} = {res:{ralign 8:.5058735}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:otroethn} = {res:{ralign 8:.0174047}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:incum_voter} = {res:{ralign 8:.3593217}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:cp6r} = {res:{ralign 8:1.347442}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edr} = {res:{ralign 8:1.811249}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:quintiles} = {res:{ralign 8:2.98375}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:female} = {res:{ralign 8:.5036741}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edad} = {res:{ralign 8:2.823236}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:urban} = {res:{ralign 8:.7002091}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:soct2r} = {res:{ralign 8:1.781574}} {txt:(mean)}
{lalign 9:3._at: }{space 0}{lalign 16:bgi_dec_fear_c~t} = {res:{ralign 8:-4.4}}
{lalign 9:}{space 0}{lalign 16:black} = {res:{ralign 8:.0861167}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:indig} = {res:{ralign 8:.0662997}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:mestizo} = {res:{ralign 8:.5058735}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:otroethn} = {res:{ralign 8:.0174047}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:incum_voter} = {res:{ralign 8:.3593217}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:cp6r} = {res:{ralign 8:1.347442}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edr} = {res:{ralign 8:1.811249}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:quintiles} = {res:{ralign 8:2.98375}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:female} = {res:{ralign 8:.5036741}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edad} = {res:{ralign 8:2.823236}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:urban} = {res:{ralign 8:.7002091}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:soct2r} = {res:{ralign 8:1.781574}} {txt:(mean)}
{lalign 9:4._at: }{space 0}{lalign 16:bgi_dec_fear_c~t} = {res:{ralign 8:-4.3}}
{lalign 9:}{space 0}{lalign 16:black} = {res:{ralign 8:.0861167}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:indig} = {res:{ralign 8:.0662997}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:mestizo} = {res:{ralign 8:.5058735}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:otroethn} = {res:{ralign 8:.0174047}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:incum_voter} = {res:{ralign 8:.3593217}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:cp6r} = {res:{ralign 8:1.347442}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edr} = {res:{ralign 8:1.811249}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:quintiles} = {res:{ralign 8:2.98375}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:female} = {res:{ralign 8:.5036741}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edad} = {res:{ralign 8:2.823236}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:urban} = {res:{ralign 8:.7002091}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:soct2r} = {res:{ralign 8:1.781574}} {txt:(mean)}
{lalign 9:5._at: }{space 0}{lalign 16:bgi_dec_fear_c~t} = {res:{ralign 8:-4.2}}
{lalign 9:}{space 0}{lalign 16:black} = {res:{ralign 8:.0861167}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:indig} = {res:{ralign 8:.0662997}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:mestizo} = {res:{ralign 8:.5058735}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:otroethn} = {res:{ralign 8:.0174047}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:incum_voter} = {res:{ralign 8:.3593217}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:cp6r} = {res:{ralign 8:1.347442}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edr} = {res:{ralign 8:1.811249}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:quintiles} = {res:{ralign 8:2.98375}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:female} = {res:{ralign 8:.5036741}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edad} = {res:{ralign 8:2.823236}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:urban} = {res:{ralign 8:.7002091}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:soct2r} = {res:{ralign 8:1.781574}} {txt:(mean)}
{lalign 9:6._at: }{space 0}{lalign 16:bgi_dec_fear_c~t} = {res:{ralign 8:-4.1}}
{lalign 9:}{space 0}{lalign 16:black} = {res:{ralign 8:.0861167}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:indig} = {res:{ralign 8:.0662997}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:mestizo} = {res:{ralign 8:.5058735}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:otroethn} = {res:{ralign 8:.0174047}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:incum_voter} = {res:{ralign 8:.3593217}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:cp6r} = {res:{ralign 8:1.347442}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edr} = {res:{ralign 8:1.811249}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:quintiles} = {res:{ralign 8:2.98375}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:female} = {res:{ralign 8:.5036741}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edad} = {res:{ralign 8:2.823236}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:urban} = {res:{ralign 8:.7002091}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:soct2r} = {res:{ralign 8:1.781574}} {txt:(mean)}
{lalign 9:7._at: }{space 0}{lalign 16:bgi_dec_fear_c~t} = {res:{ralign 8:-4}}
{lalign 9:}{space 0}{lalign 16:black} = {res:{ralign 8:.0861167}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:indig} = {res:{ralign 8:.0662997}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:mestizo} = {res:{ralign 8:.5058735}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:otroethn} = {res:{ralign 8:.0174047}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:incum_voter} = {res:{ralign 8:.3593217}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:cp6r} = {res:{ralign 8:1.347442}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edr} = {res:{ralign 8:1.811249}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:quintiles} = {res:{ralign 8:2.98375}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:female} = {res:{ralign 8:.5036741}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edad} = {res:{ralign 8:2.823236}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:urban} = {res:{ralign 8:.7002091}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:soct2r} = {res:{ralign 8:1.781574}} {txt:(mean)}
{lalign 9:8._at: }{space 0}{lalign 16:bgi_dec_fear_c~t} = {res:{ralign 8:-3.9}}
{lalign 9:}{space 0}{lalign 16:black} = {res:{ralign 8:.0861167}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:indig} = {res:{ralign 8:.0662997}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:mestizo} = {res:{ralign 8:.5058735}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:otroethn} = {res:{ralign 8:.0174047}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:incum_voter} = {res:{ralign 8:.3593217}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:cp6r} = {res:{ralign 8:1.347442}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edr} = {res:{ralign 8:1.811249}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:quintiles} = {res:{ralign 8:2.98375}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:female} = {res:{ralign 8:.5036741}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edad} = {res:{ralign 8:2.823236}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:urban} = {res:{ralign 8:.7002091}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:soct2r} = {res:{ralign 8:1.781574}} {txt:(mean)}
{lalign 9:9._at: }{space 0}{lalign 16:bgi_dec_fear_c~t} = {res:{ralign 8:-3.8}}
{lalign 9:}{space 0}{lalign 16:black} = {res:{ralign 8:.0861167}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:indig} = {res:{ralign 8:.0662997}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:mestizo} = {res:{ralign 8:.5058735}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:otroethn} = {res:{ralign 8:.0174047}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:incum_voter} = {res:{ralign 8:.3593217}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:cp6r} = {res:{ralign 8:1.347442}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edr} = {res:{ralign 8:1.811249}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:quintiles} = {res:{ralign 8:2.98375}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:female} = {res:{ralign 8:.5036741}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edad} = {res:{ralign 8:2.823236}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:urban} = {res:{ralign 8:.7002091}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:soct2r} = {res:{ralign 8:1.781574}} {txt:(mean)}
{lalign 9:10._at: }{space 0}{lalign 16:bgi_dec_fear_c~t} = {res:{ralign 8:-3.7}}
{lalign 9:}{space 0}{lalign 16:black} = {res:{ralign 8:.0861167}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:indig} = {res:{ralign 8:.0662997}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:mestizo} = {res:{ralign 8:.5058735}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:otroethn} = {res:{ralign 8:.0174047}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:incum_voter} = {res:{ralign 8:.3593217}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:cp6r} = {res:{ralign 8:1.347442}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edr} = {res:{ralign 8:1.811249}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:quintiles} = {res:{ralign 8:2.98375}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:female} = {res:{ralign 8:.5036741}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edad} = {res:{ralign 8:2.823236}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:urban} = {res:{ralign 8:.7002091}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:soct2r} = {res:{ralign 8:1.781574}} {txt:(mean)}
{lalign 9:11._at: }{space 0}{lalign 16:bgi_dec_fear_c~t} = {res:{ralign 8:-3.6}}
{lalign 9:}{space 0}{lalign 16:black} = {res:{ralign 8:.0861167}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:indig} = {res:{ralign 8:.0662997}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:mestizo} = {res:{ralign 8:.5058735}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:otroethn} = {res:{ralign 8:.0174047}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:incum_voter} = {res:{ralign 8:.3593217}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:cp6r} = {res:{ralign 8:1.347442}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edr} = {res:{ralign 8:1.811249}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:quintiles} = {res:{ralign 8:2.98375}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:female} = {res:{ralign 8:.5036741}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edad} = {res:{ralign 8:2.823236}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:urban} = {res:{ralign 8:.7002091}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:soct2r} = {res:{ralign 8:1.781574}} {txt:(mean)}
{lalign 9:12._at: }{space 0}{lalign 16:bgi_dec_fear_c~t} = {res:{ralign 8:-3.5}}
{lalign 9:}{space 0}{lalign 16:black} = {res:{ralign 8:.0861167}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:indig} = {res:{ralign 8:.0662997}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:mestizo} = {res:{ralign 8:.5058735}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:otroethn} = {res:{ralign 8:.0174047}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:incum_voter} = {res:{ralign 8:.3593217}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:cp6r} = {res:{ralign 8:1.347442}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edr} = {res:{ralign 8:1.811249}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:quintiles} = {res:{ralign 8:2.98375}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:female} = {res:{ralign 8:.5036741}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edad} = {res:{ralign 8:2.823236}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:urban} = {res:{ralign 8:.7002091}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:soct2r} = {res:{ralign 8:1.781574}} {txt:(mean)}
{lalign 9:13._at: }{space 0}{lalign 16:bgi_dec_fear_c~t} = {res:{ralign 8:-3.4}}
{lalign 9:}{space 0}{lalign 16:black} = {res:{ralign 8:.0861167}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:indig} = {res:{ralign 8:.0662997}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:mestizo} = {res:{ralign 8:.5058735}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:otroethn} = {res:{ralign 8:.0174047}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:incum_voter} = {res:{ralign 8:.3593217}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:cp6r} = {res:{ralign 8:1.347442}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edr} = {res:{ralign 8:1.811249}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:quintiles} = {res:{ralign 8:2.98375}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:female} = {res:{ralign 8:.5036741}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edad} = {res:{ralign 8:2.823236}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:urban} = {res:{ralign 8:.7002091}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:soct2r} = {res:{ralign 8:1.781574}} {txt:(mean)}
{lalign 9:14._at: }{space 0}{lalign 16:bgi_dec_fear_c~t} = {res:{ralign 8:-3.3}}
{lalign 9:}{space 0}{lalign 16:black} = {res:{ralign 8:.0861167}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:indig} = {res:{ralign 8:.0662997}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:mestizo} = {res:{ralign 8:.5058735}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:otroethn} = {res:{ralign 8:.0174047}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:incum_voter} = {res:{ralign 8:.3593217}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:cp6r} = {res:{ralign 8:1.347442}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edr} = {res:{ralign 8:1.811249}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:quintiles} = {res:{ralign 8:2.98375}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:female} = {res:{ralign 8:.5036741}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edad} = {res:{ralign 8:2.823236}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:urban} = {res:{ralign 8:.7002091}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:soct2r} = {res:{ralign 8:1.781574}} {txt:(mean)}
{lalign 9:15._at: }{space 0}{lalign 16:bgi_dec_fear_c~t} = {res:{ralign 8:-3.2}}
{lalign 9:}{space 0}{lalign 16:black} = {res:{ralign 8:.0861167}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:indig} = {res:{ralign 8:.0662997}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:mestizo} = {res:{ralign 8:.5058735}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:otroethn} = {res:{ralign 8:.0174047}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:incum_voter} = {res:{ralign 8:.3593217}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:cp6r} = {res:{ralign 8:1.347442}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edr} = {res:{ralign 8:1.811249}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:quintiles} = {res:{ralign 8:2.98375}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:female} = {res:{ralign 8:.5036741}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edad} = {res:{ralign 8:2.823236}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:urban} = {res:{ralign 8:.7002091}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:soct2r} = {res:{ralign 8:1.781574}} {txt:(mean)}
{lalign 9:16._at: }{space 0}{lalign 16:bgi_dec_fear_c~t} = {res:{ralign 8:-3.1}}
{lalign 9:}{space 0}{lalign 16:black} = {res:{ralign 8:.0861167}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:indig} = {res:{ralign 8:.0662997}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:mestizo} = {res:{ralign 8:.5058735}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:otroethn} = {res:{ralign 8:.0174047}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:incum_voter} = {res:{ralign 8:.3593217}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:cp6r} = {res:{ralign 8:1.347442}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edr} = {res:{ralign 8:1.811249}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:quintiles} = {res:{ralign 8:2.98375}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:female} = {res:{ralign 8:.5036741}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edad} = {res:{ralign 8:2.823236}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:urban} = {res:{ralign 8:.7002091}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:soct2r} = {res:{ralign 8:1.781574}} {txt:(mean)}
{lalign 9:17._at: }{space 0}{lalign 16:bgi_dec_fear_c~t} = {res:{ralign 8:-3}}
{lalign 9:}{space 0}{lalign 16:black} = {res:{ralign 8:.0861167}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:indig} = {res:{ralign 8:.0662997}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:mestizo} = {res:{ralign 8:.5058735}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:otroethn} = {res:{ralign 8:.0174047}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:incum_voter} = {res:{ralign 8:.3593217}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:cp6r} = {res:{ralign 8:1.347442}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edr} = {res:{ralign 8:1.811249}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:quintiles} = {res:{ralign 8:2.98375}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:female} = {res:{ralign 8:.5036741}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edad} = {res:{ralign 8:2.823236}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:urban} = {res:{ralign 8:.7002091}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:soct2r} = {res:{ralign 8:1.781574}} {txt:(mean)}
{lalign 9:18._at: }{space 0}{lalign 16:bgi_dec_fear_c~t} = {res:{ralign 8:-2.9}}
{lalign 9:}{space 0}{lalign 16:black} = {res:{ralign 8:.0861167}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:indig} = {res:{ralign 8:.0662997}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:mestizo} = {res:{ralign 8:.5058735}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:otroethn} = {res:{ralign 8:.0174047}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:incum_voter} = {res:{ralign 8:.3593217}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:cp6r} = {res:{ralign 8:1.347442}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edr} = {res:{ralign 8:1.811249}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:quintiles} = {res:{ralign 8:2.98375}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:female} = {res:{ralign 8:.5036741}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edad} = {res:{ralign 8:2.823236}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:urban} = {res:{ralign 8:.7002091}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:soct2r} = {res:{ralign 8:1.781574}} {txt:(mean)}
{lalign 9:19._at: }{space 0}{lalign 16:bgi_dec_fear_c~t} = {res:{ralign 8:-2.8}}
{lalign 9:}{space 0}{lalign 16:black} = {res:{ralign 8:.0861167}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:indig} = {res:{ralign 8:.0662997}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:mestizo} = {res:{ralign 8:.5058735}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:otroethn} = {res:{ralign 8:.0174047}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:incum_voter} = {res:{ralign 8:.3593217}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:cp6r} = {res:{ralign 8:1.347442}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edr} = {res:{ralign 8:1.811249}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:quintiles} = {res:{ralign 8:2.98375}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:female} = {res:{ralign 8:.5036741}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edad} = {res:{ralign 8:2.823236}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:urban} = {res:{ralign 8:.7002091}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:soct2r} = {res:{ralign 8:1.781574}} {txt:(mean)}
{lalign 9:20._at: }{space 0}{lalign 16:bgi_dec_fear_c~t} = {res:{ralign 8:-2.7}}
{lalign 9:}{space 0}{lalign 16:black} = {res:{ralign 8:.0861167}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:indig} = {res:{ralign 8:.0662997}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:mestizo} = {res:{ralign 8:.5058735}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:otroethn} = {res:{ralign 8:.0174047}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:incum_voter} = {res:{ralign 8:.3593217}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:cp6r} = {res:{ralign 8:1.347442}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edr} = {res:{ralign 8:1.811249}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:quintiles} = {res:{ralign 8:2.98375}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:female} = {res:{ralign 8:.5036741}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edad} = {res:{ralign 8:2.823236}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:urban} = {res:{ralign 8:.7002091}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:soct2r} = {res:{ralign 8:1.781574}} {txt:(mean)}
{lalign 9:21._at: }{space 0}{lalign 16:bgi_dec_fear_c~t} = {res:{ralign 8:-2.6}}
{lalign 9:}{space 0}{lalign 16:black} = {res:{ralign 8:.0861167}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:indig} = {res:{ralign 8:.0662997}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:mestizo} = {res:{ralign 8:.5058735}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:otroethn} = {res:{ralign 8:.0174047}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:incum_voter} = {res:{ralign 8:.3593217}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:cp6r} = {res:{ralign 8:1.347442}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edr} = {res:{ralign 8:1.811249}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:quintiles} = {res:{ralign 8:2.98375}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:female} = {res:{ralign 8:.5036741}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edad} = {res:{ralign 8:2.823236}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:urban} = {res:{ralign 8:.7002091}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:soct2r} = {res:{ralign 8:1.781574}} {txt:(mean)}
{lalign 9:22._at: }{space 0}{lalign 16:bgi_dec_fear_c~t} = {res:{ralign 8:-2.5}}
{lalign 9:}{space 0}{lalign 16:black} = {res:{ralign 8:.0861167}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:indig} = {res:{ralign 8:.0662997}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:mestizo} = {res:{ralign 8:.5058735}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:otroethn} = {res:{ralign 8:.0174047}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:incum_voter} = {res:{ralign 8:.3593217}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:cp6r} = {res:{ralign 8:1.347442}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edr} = {res:{ralign 8:1.811249}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:quintiles} = {res:{ralign 8:2.98375}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:female} = {res:{ralign 8:.5036741}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edad} = {res:{ralign 8:2.823236}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:urban} = {res:{ralign 8:.7002091}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:soct2r} = {res:{ralign 8:1.781574}} {txt:(mean)}
{lalign 9:23._at: }{space 0}{lalign 16:bgi_dec_fear_c~t} = {res:{ralign 8:-2.4}}
{lalign 9:}{space 0}{lalign 16:black} = {res:{ralign 8:.0861167}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:indig} = {res:{ralign 8:.0662997}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:mestizo} = {res:{ralign 8:.5058735}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:otroethn} = {res:{ralign 8:.0174047}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:incum_voter} = {res:{ralign 8:.3593217}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:cp6r} = {res:{ralign 8:1.347442}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edr} = {res:{ralign 8:1.811249}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:quintiles} = {res:{ralign 8:2.98375}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:female} = {res:{ralign 8:.5036741}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edad} = {res:{ralign 8:2.823236}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:urban} = {res:{ralign 8:.7002091}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:soct2r} = {res:{ralign 8:1.781574}} {txt:(mean)}
{lalign 9:24._at: }{space 0}{lalign 16:bgi_dec_fear_c~t} = {res:{ralign 8:-2.3}}
{lalign 9:}{space 0}{lalign 16:black} = {res:{ralign 8:.0861167}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:indig} = {res:{ralign 8:.0662997}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:mestizo} = {res:{ralign 8:.5058735}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:otroethn} = {res:{ralign 8:.0174047}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:incum_voter} = {res:{ralign 8:.3593217}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:cp6r} = {res:{ralign 8:1.347442}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edr} = {res:{ralign 8:1.811249}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:quintiles} = {res:{ralign 8:2.98375}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:female} = {res:{ralign 8:.5036741}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edad} = {res:{ralign 8:2.823236}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:urban} = {res:{ralign 8:.7002091}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:soct2r} = {res:{ralign 8:1.781574}} {txt:(mean)}
{lalign 9:25._at: }{space 0}{lalign 16:bgi_dec_fear_c~t} = {res:{ralign 8:-2.2}}
{lalign 9:}{space 0}{lalign 16:black} = {res:{ralign 8:.0861167}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:indig} = {res:{ralign 8:.0662997}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:mestizo} = {res:{ralign 8:.5058735}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:otroethn} = {res:{ralign 8:.0174047}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:incum_voter} = {res:{ralign 8:.3593217}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:cp6r} = {res:{ralign 8:1.347442}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edr} = {res:{ralign 8:1.811249}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:quintiles} = {res:{ralign 8:2.98375}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:female} = {res:{ralign 8:.5036741}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edad} = {res:{ralign 8:2.823236}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:urban} = {res:{ralign 8:.7002091}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:soct2r} = {res:{ralign 8:1.781574}} {txt:(mean)}
{lalign 9:26._at: }{space 0}{lalign 16:bgi_dec_fear_c~t} = {res:{ralign 8:-2.1}}
{lalign 9:}{space 0}{lalign 16:black} = {res:{ralign 8:.0861167}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:indig} = {res:{ralign 8:.0662997}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:mestizo} = {res:{ralign 8:.5058735}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:otroethn} = {res:{ralign 8:.0174047}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:incum_voter} = {res:{ralign 8:.3593217}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:cp6r} = {res:{ralign 8:1.347442}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edr} = {res:{ralign 8:1.811249}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:quintiles} = {res:{ralign 8:2.98375}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:female} = {res:{ralign 8:.5036741}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edad} = {res:{ralign 8:2.823236}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:urban} = {res:{ralign 8:.7002091}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:soct2r} = {res:{ralign 8:1.781574}} {txt:(mean)}
{lalign 9:27._at: }{space 0}{lalign 16:bgi_dec_fear_c~t} = {res:{ralign 8:-2}}
{lalign 9:}{space 0}{lalign 16:black} = {res:{ralign 8:.0861167}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:indig} = {res:{ralign 8:.0662997}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:mestizo} = {res:{ralign 8:.5058735}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:otroethn} = {res:{ralign 8:.0174047}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:incum_voter} = {res:{ralign 8:.3593217}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:cp6r} = {res:{ralign 8:1.347442}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edr} = {res:{ralign 8:1.811249}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:quintiles} = {res:{ralign 8:2.98375}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:female} = {res:{ralign 8:.5036741}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edad} = {res:{ralign 8:2.823236}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:urban} = {res:{ralign 8:.7002091}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:soct2r} = {res:{ralign 8:1.781574}} {txt:(mean)}
{lalign 9:28._at: }{space 0}{lalign 16:bgi_dec_fear_c~t} = {res:{ralign 8:-1.9}}
{lalign 9:}{space 0}{lalign 16:black} = {res:{ralign 8:.0861167}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:indig} = {res:{ralign 8:.0662997}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:mestizo} = {res:{ralign 8:.5058735}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:otroethn} = {res:{ralign 8:.0174047}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:incum_voter} = {res:{ralign 8:.3593217}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:cp6r} = {res:{ralign 8:1.347442}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edr} = {res:{ralign 8:1.811249}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:quintiles} = {res:{ralign 8:2.98375}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:female} = {res:{ralign 8:.5036741}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edad} = {res:{ralign 8:2.823236}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:urban} = {res:{ralign 8:.7002091}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:soct2r} = {res:{ralign 8:1.781574}} {txt:(mean)}
{lalign 9:29._at: }{space 0}{lalign 16:bgi_dec_fear_c~t} = {res:{ralign 8:-1.8}}
{lalign 9:}{space 0}{lalign 16:black} = {res:{ralign 8:.0861167}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:indig} = {res:{ralign 8:.0662997}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:mestizo} = {res:{ralign 8:.5058735}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:otroethn} = {res:{ralign 8:.0174047}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:incum_voter} = {res:{ralign 8:.3593217}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:cp6r} = {res:{ralign 8:1.347442}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edr} = {res:{ralign 8:1.811249}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:quintiles} = {res:{ralign 8:2.98375}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:female} = {res:{ralign 8:.5036741}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edad} = {res:{ralign 8:2.823236}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:urban} = {res:{ralign 8:.7002091}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:soct2r} = {res:{ralign 8:1.781574}} {txt:(mean)}
{lalign 9:30._at: }{space 0}{lalign 16:bgi_dec_fear_c~t} = {res:{ralign 8:-1.7}}
{lalign 9:}{space 0}{lalign 16:black} = {res:{ralign 8:.0861167}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:indig} = {res:{ralign 8:.0662997}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:mestizo} = {res:{ralign 8:.5058735}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:otroethn} = {res:{ralign 8:.0174047}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:incum_voter} = {res:{ralign 8:.3593217}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:cp6r} = {res:{ralign 8:1.347442}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edr} = {res:{ralign 8:1.811249}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:quintiles} = {res:{ralign 8:2.98375}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:female} = {res:{ralign 8:.5036741}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edad} = {res:{ralign 8:2.823236}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:urban} = {res:{ralign 8:.7002091}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:soct2r} = {res:{ralign 8:1.781574}} {txt:(mean)}
{lalign 9:31._at: }{space 0}{lalign 16:bgi_dec_fear_c~t} = {res:{ralign 8:-1.6}}
{lalign 9:}{space 0}{lalign 16:black} = {res:{ralign 8:.0861167}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:indig} = {res:{ralign 8:.0662997}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:mestizo} = {res:{ralign 8:.5058735}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:otroethn} = {res:{ralign 8:.0174047}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:incum_voter} = {res:{ralign 8:.3593217}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:cp6r} = {res:{ralign 8:1.347442}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edr} = {res:{ralign 8:1.811249}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:quintiles} = {res:{ralign 8:2.98375}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:female} = {res:{ralign 8:.5036741}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edad} = {res:{ralign 8:2.823236}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:urban} = {res:{ralign 8:.7002091}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:soct2r} = {res:{ralign 8:1.781574}} {txt:(mean)}
{lalign 9:32._at: }{space 0}{lalign 16:bgi_dec_fear_c~t} = {res:{ralign 8:-1.5}}
{lalign 9:}{space 0}{lalign 16:black} = {res:{ralign 8:.0861167}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:indig} = {res:{ralign 8:.0662997}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:mestizo} = {res:{ralign 8:.5058735}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:otroethn} = {res:{ralign 8:.0174047}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:incum_voter} = {res:{ralign 8:.3593217}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:cp6r} = {res:{ralign 8:1.347442}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edr} = {res:{ralign 8:1.811249}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:quintiles} = {res:{ralign 8:2.98375}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:female} = {res:{ralign 8:.5036741}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edad} = {res:{ralign 8:2.823236}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:urban} = {res:{ralign 8:.7002091}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:soct2r} = {res:{ralign 8:1.781574}} {txt:(mean)}
{lalign 9:33._at: }{space 0}{lalign 16:bgi_dec_fear_c~t} = {res:{ralign 8:-1.4}}
{lalign 9:}{space 0}{lalign 16:black} = {res:{ralign 8:.0861167}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:indig} = {res:{ralign 8:.0662997}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:mestizo} = {res:{ralign 8:.5058735}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:otroethn} = {res:{ralign 8:.0174047}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:incum_voter} = {res:{ralign 8:.3593217}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:cp6r} = {res:{ralign 8:1.347442}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edr} = {res:{ralign 8:1.811249}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:quintiles} = {res:{ralign 8:2.98375}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:female} = {res:{ralign 8:.5036741}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edad} = {res:{ralign 8:2.823236}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:urban} = {res:{ralign 8:.7002091}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:soct2r} = {res:{ralign 8:1.781574}} {txt:(mean)}
{lalign 9:34._at: }{space 0}{lalign 16:bgi_dec_fear_c~t} = {res:{ralign 8:-1.3}}
{lalign 9:}{space 0}{lalign 16:black} = {res:{ralign 8:.0861167}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:indig} = {res:{ralign 8:.0662997}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:mestizo} = {res:{ralign 8:.5058735}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:otroethn} = {res:{ralign 8:.0174047}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:incum_voter} = {res:{ralign 8:.3593217}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:cp6r} = {res:{ralign 8:1.347442}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edr} = {res:{ralign 8:1.811249}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:quintiles} = {res:{ralign 8:2.98375}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:female} = {res:{ralign 8:.5036741}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edad} = {res:{ralign 8:2.823236}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:urban} = {res:{ralign 8:.7002091}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:soct2r} = {res:{ralign 8:1.781574}} {txt:(mean)}
{lalign 9:35._at: }{space 0}{lalign 16:bgi_dec_fear_c~t} = {res:{ralign 8:-1.2}}
{lalign 9:}{space 0}{lalign 16:black} = {res:{ralign 8:.0861167}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:indig} = {res:{ralign 8:.0662997}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:mestizo} = {res:{ralign 8:.5058735}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:otroethn} = {res:{ralign 8:.0174047}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:incum_voter} = {res:{ralign 8:.3593217}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:cp6r} = {res:{ralign 8:1.347442}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edr} = {res:{ralign 8:1.811249}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:quintiles} = {res:{ralign 8:2.98375}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:female} = {res:{ralign 8:.5036741}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edad} = {res:{ralign 8:2.823236}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:urban} = {res:{ralign 8:.7002091}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:soct2r} = {res:{ralign 8:1.781574}} {txt:(mean)}
{lalign 9:36._at: }{space 0}{lalign 16:bgi_dec_fear_c~t} = {res:{ralign 8:-1.1}}
{lalign 9:}{space 0}{lalign 16:black} = {res:{ralign 8:.0861167}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:indig} = {res:{ralign 8:.0662997}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:mestizo} = {res:{ralign 8:.5058735}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:otroethn} = {res:{ralign 8:.0174047}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:incum_voter} = {res:{ralign 8:.3593217}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:cp6r} = {res:{ralign 8:1.347442}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edr} = {res:{ralign 8:1.811249}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:quintiles} = {res:{ralign 8:2.98375}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:female} = {res:{ralign 8:.5036741}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edad} = {res:{ralign 8:2.823236}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:urban} = {res:{ralign 8:.7002091}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:soct2r} = {res:{ralign 8:1.781574}} {txt:(mean)}
{lalign 9:37._at: }{space 0}{lalign 16:bgi_dec_fear_c~t} = {res:{ralign 8:-1}}
{lalign 9:}{space 0}{lalign 16:black} = {res:{ralign 8:.0861167}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:indig} = {res:{ralign 8:.0662997}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:mestizo} = {res:{ralign 8:.5058735}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:otroethn} = {res:{ralign 8:.0174047}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:incum_voter} = {res:{ralign 8:.3593217}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:cp6r} = {res:{ralign 8:1.347442}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edr} = {res:{ralign 8:1.811249}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:quintiles} = {res:{ralign 8:2.98375}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:female} = {res:{ralign 8:.5036741}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edad} = {res:{ralign 8:2.823236}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:urban} = {res:{ralign 8:.7002091}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:soct2r} = {res:{ralign 8:1.781574}} {txt:(mean)}
{lalign 9:38._at: }{space 0}{lalign 16:bgi_dec_fear_c~t} = {res:{ralign 8:-.9}}
{lalign 9:}{space 0}{lalign 16:black} = {res:{ralign 8:.0861167}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:indig} = {res:{ralign 8:.0662997}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:mestizo} = {res:{ralign 8:.5058735}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:otroethn} = {res:{ralign 8:.0174047}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:incum_voter} = {res:{ralign 8:.3593217}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:cp6r} = {res:{ralign 8:1.347442}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edr} = {res:{ralign 8:1.811249}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:quintiles} = {res:{ralign 8:2.98375}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:female} = {res:{ralign 8:.5036741}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edad} = {res:{ralign 8:2.823236}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:urban} = {res:{ralign 8:.7002091}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:soct2r} = {res:{ralign 8:1.781574}} {txt:(mean)}
{lalign 9:39._at: }{space 0}{lalign 16:bgi_dec_fear_c~t} = {res:{ralign 8:-.8}}
{lalign 9:}{space 0}{lalign 16:black} = {res:{ralign 8:.0861167}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:indig} = {res:{ralign 8:.0662997}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:mestizo} = {res:{ralign 8:.5058735}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:otroethn} = {res:{ralign 8:.0174047}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:incum_voter} = {res:{ralign 8:.3593217}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:cp6r} = {res:{ralign 8:1.347442}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edr} = {res:{ralign 8:1.811249}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:quintiles} = {res:{ralign 8:2.98375}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:female} = {res:{ralign 8:.5036741}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edad} = {res:{ralign 8:2.823236}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:urban} = {res:{ralign 8:.7002091}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:soct2r} = {res:{ralign 8:1.781574}} {txt:(mean)}
{lalign 9:40._at: }{space 0}{lalign 16:bgi_dec_fear_c~t} = {res:{ralign 8:-.7}}
{lalign 9:}{space 0}{lalign 16:black} = {res:{ralign 8:.0861167}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:indig} = {res:{ralign 8:.0662997}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:mestizo} = {res:{ralign 8:.5058735}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:otroethn} = {res:{ralign 8:.0174047}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:incum_voter} = {res:{ralign 8:.3593217}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:cp6r} = {res:{ralign 8:1.347442}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edr} = {res:{ralign 8:1.811249}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:quintiles} = {res:{ralign 8:2.98375}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:female} = {res:{ralign 8:.5036741}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edad} = {res:{ralign 8:2.823236}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:urban} = {res:{ralign 8:.7002091}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:soct2r} = {res:{ralign 8:1.781574}} {txt:(mean)}
{lalign 9:41._at: }{space 0}{lalign 16:bgi_dec_fear_c~t} = {res:{ralign 8:-.6}}
{lalign 9:}{space 0}{lalign 16:black} = {res:{ralign 8:.0861167}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:indig} = {res:{ralign 8:.0662997}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:mestizo} = {res:{ralign 8:.5058735}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:otroethn} = {res:{ralign 8:.0174047}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:incum_voter} = {res:{ralign 8:.3593217}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:cp6r} = {res:{ralign 8:1.347442}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edr} = {res:{ralign 8:1.811249}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:quintiles} = {res:{ralign 8:2.98375}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:female} = {res:{ralign 8:.5036741}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edad} = {res:{ralign 8:2.823236}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:urban} = {res:{ralign 8:.7002091}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:soct2r} = {res:{ralign 8:1.781574}} {txt:(mean)}
{lalign 9:42._at: }{space 0}{lalign 16:bgi_dec_fear_c~t} = {res:{ralign 8:-.5}}
{lalign 9:}{space 0}{lalign 16:black} = {res:{ralign 8:.0861167}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:indig} = {res:{ralign 8:.0662997}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:mestizo} = {res:{ralign 8:.5058735}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:otroethn} = {res:{ralign 8:.0174047}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:incum_voter} = {res:{ralign 8:.3593217}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:cp6r} = {res:{ralign 8:1.347442}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edr} = {res:{ralign 8:1.811249}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:quintiles} = {res:{ralign 8:2.98375}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:female} = {res:{ralign 8:.5036741}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edad} = {res:{ralign 8:2.823236}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:urban} = {res:{ralign 8:.7002091}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:soct2r} = {res:{ralign 8:1.781574}} {txt:(mean)}
{lalign 9:43._at: }{space 0}{lalign 16:bgi_dec_fear_c~t} = {res:{ralign 8:-.4}}
{lalign 9:}{space 0}{lalign 16:black} = {res:{ralign 8:.0861167}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:indig} = {res:{ralign 8:.0662997}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:mestizo} = {res:{ralign 8:.5058735}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:otroethn} = {res:{ralign 8:.0174047}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:incum_voter} = {res:{ralign 8:.3593217}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:cp6r} = {res:{ralign 8:1.347442}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edr} = {res:{ralign 8:1.811249}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:quintiles} = {res:{ralign 8:2.98375}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:female} = {res:{ralign 8:.5036741}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edad} = {res:{ralign 8:2.823236}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:urban} = {res:{ralign 8:.7002091}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:soct2r} = {res:{ralign 8:1.781574}} {txt:(mean)}
{lalign 9:44._at: }{space 0}{lalign 16:bgi_dec_fear_c~t} = {res:{ralign 8:-.3}}
{lalign 9:}{space 0}{lalign 16:black} = {res:{ralign 8:.0861167}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:indig} = {res:{ralign 8:.0662997}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:mestizo} = {res:{ralign 8:.5058735}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:otroethn} = {res:{ralign 8:.0174047}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:incum_voter} = {res:{ralign 8:.3593217}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:cp6r} = {res:{ralign 8:1.347442}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edr} = {res:{ralign 8:1.811249}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:quintiles} = {res:{ralign 8:2.98375}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:female} = {res:{ralign 8:.5036741}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edad} = {res:{ralign 8:2.823236}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:urban} = {res:{ralign 8:.7002091}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:soct2r} = {res:{ralign 8:1.781574}} {txt:(mean)}
{lalign 9:45._at: }{space 0}{lalign 16:bgi_dec_fear_c~t} = {res:{ralign 8:-.2}}
{lalign 9:}{space 0}{lalign 16:black} = {res:{ralign 8:.0861167}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:indig} = {res:{ralign 8:.0662997}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:mestizo} = {res:{ralign 8:.5058735}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:otroethn} = {res:{ralign 8:.0174047}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:incum_voter} = {res:{ralign 8:.3593217}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:cp6r} = {res:{ralign 8:1.347442}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edr} = {res:{ralign 8:1.811249}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:quintiles} = {res:{ralign 8:2.98375}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:female} = {res:{ralign 8:.5036741}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edad} = {res:{ralign 8:2.823236}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:urban} = {res:{ralign 8:.7002091}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:soct2r} = {res:{ralign 8:1.781574}} {txt:(mean)}
{lalign 9:46._at: }{space 0}{lalign 16:bgi_dec_fear_c~t} = {res:{ralign 8:-.1}}
{lalign 9:}{space 0}{lalign 16:black} = {res:{ralign 8:.0861167}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:indig} = {res:{ralign 8:.0662997}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:mestizo} = {res:{ralign 8:.5058735}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:otroethn} = {res:{ralign 8:.0174047}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:incum_voter} = {res:{ralign 8:.3593217}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:cp6r} = {res:{ralign 8:1.347442}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edr} = {res:{ralign 8:1.811249}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:quintiles} = {res:{ralign 8:2.98375}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:female} = {res:{ralign 8:.5036741}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edad} = {res:{ralign 8:2.823236}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:urban} = {res:{ralign 8:.7002091}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:soct2r} = {res:{ralign 8:1.781574}} {txt:(mean)}
{lalign 9:47._at: }{space 0}{lalign 16:bgi_dec_fear_c~t} = {res:{ralign 8:0}}
{lalign 9:}{space 0}{lalign 16:black} = {res:{ralign 8:.0861167}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:indig} = {res:{ralign 8:.0662997}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:mestizo} = {res:{ralign 8:.5058735}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:otroethn} = {res:{ralign 8:.0174047}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:incum_voter} = {res:{ralign 8:.3593217}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:cp6r} = {res:{ralign 8:1.347442}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edr} = {res:{ralign 8:1.811249}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:quintiles} = {res:{ralign 8:2.98375}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:female} = {res:{ralign 8:.5036741}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edad} = {res:{ralign 8:2.823236}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:urban} = {res:{ralign 8:.7002091}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:soct2r} = {res:{ralign 8:1.781574}} {txt:(mean)}
{lalign 9:48._at: }{space 0}{lalign 16:bgi_dec_fear_c~t} = {res:{ralign 8:.1}}
{lalign 9:}{space 0}{lalign 16:black} = {res:{ralign 8:.0861167}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:indig} = {res:{ralign 8:.0662997}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:mestizo} = {res:{ralign 8:.5058735}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:otroethn} = {res:{ralign 8:.0174047}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:incum_voter} = {res:{ralign 8:.3593217}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:cp6r} = {res:{ralign 8:1.347442}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edr} = {res:{ralign 8:1.811249}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:quintiles} = {res:{ralign 8:2.98375}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:female} = {res:{ralign 8:.5036741}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edad} = {res:{ralign 8:2.823236}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:urban} = {res:{ralign 8:.7002091}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:soct2r} = {res:{ralign 8:1.781574}} {txt:(mean)}
{lalign 9:49._at: }{space 0}{lalign 16:bgi_dec_fear_c~t} = {res:{ralign 8:.2}}
{lalign 9:}{space 0}{lalign 16:black} = {res:{ralign 8:.0861167}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:indig} = {res:{ralign 8:.0662997}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:mestizo} = {res:{ralign 8:.5058735}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:otroethn} = {res:{ralign 8:.0174047}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:incum_voter} = {res:{ralign 8:.3593217}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:cp6r} = {res:{ralign 8:1.347442}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edr} = {res:{ralign 8:1.811249}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:quintiles} = {res:{ralign 8:2.98375}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:female} = {res:{ralign 8:.5036741}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edad} = {res:{ralign 8:2.823236}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:urban} = {res:{ralign 8:.7002091}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:soct2r} = {res:{ralign 8:1.781574}} {txt:(mean)}
{lalign 9:50._at: }{space 0}{lalign 16:bgi_dec_fear_c~t} = {res:{ralign 8:.3}}
{lalign 9:}{space 0}{lalign 16:black} = {res:{ralign 8:.0861167}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:indig} = {res:{ralign 8:.0662997}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:mestizo} = {res:{ralign 8:.5058735}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:otroethn} = {res:{ralign 8:.0174047}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:incum_voter} = {res:{ralign 8:.3593217}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:cp6r} = {res:{ralign 8:1.347442}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edr} = {res:{ralign 8:1.811249}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:quintiles} = {res:{ralign 8:2.98375}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:female} = {res:{ralign 8:.5036741}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edad} = {res:{ralign 8:2.823236}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:urban} = {res:{ralign 8:.7002091}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:soct2r} = {res:{ralign 8:1.781574}} {txt:(mean)}
{lalign 9:51._at: }{space 0}{lalign 16:bgi_dec_fear_c~t} = {res:{ralign 8:.4}}
{lalign 9:}{space 0}{lalign 16:black} = {res:{ralign 8:.0861167}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:indig} = {res:{ralign 8:.0662997}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:mestizo} = {res:{ralign 8:.5058735}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:otroethn} = {res:{ralign 8:.0174047}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:incum_voter} = {res:{ralign 8:.3593217}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:cp6r} = {res:{ralign 8:1.347442}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edr} = {res:{ralign 8:1.811249}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:quintiles} = {res:{ralign 8:2.98375}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:female} = {res:{ralign 8:.5036741}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edad} = {res:{ralign 8:2.823236}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:urban} = {res:{ralign 8:.7002091}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:soct2r} = {res:{ralign 8:1.781574}} {txt:(mean)}
{lalign 9:52._at: }{space 0}{lalign 16:bgi_dec_fear_c~t} = {res:{ralign 8:.5}}
{lalign 9:}{space 0}{lalign 16:black} = {res:{ralign 8:.0861167}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:indig} = {res:{ralign 8:.0662997}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:mestizo} = {res:{ralign 8:.5058735}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:otroethn} = {res:{ralign 8:.0174047}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:incum_voter} = {res:{ralign 8:.3593217}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:cp6r} = {res:{ralign 8:1.347442}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edr} = {res:{ralign 8:1.811249}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:quintiles} = {res:{ralign 8:2.98375}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:female} = {res:{ralign 8:.5036741}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edad} = {res:{ralign 8:2.823236}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:urban} = {res:{ralign 8:.7002091}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:soct2r} = {res:{ralign 8:1.781574}} {txt:(mean)}
{lalign 9:53._at: }{space 0}{lalign 16:bgi_dec_fear_c~t} = {res:{ralign 8:.6}}
{lalign 9:}{space 0}{lalign 16:black} = {res:{ralign 8:.0861167}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:indig} = {res:{ralign 8:.0662997}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:mestizo} = {res:{ralign 8:.5058735}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:otroethn} = {res:{ralign 8:.0174047}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:incum_voter} = {res:{ralign 8:.3593217}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:cp6r} = {res:{ralign 8:1.347442}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edr} = {res:{ralign 8:1.811249}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:quintiles} = {res:{ralign 8:2.98375}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:female} = {res:{ralign 8:.5036741}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edad} = {res:{ralign 8:2.823236}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:urban} = {res:{ralign 8:.7002091}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:soct2r} = {res:{ralign 8:1.781574}} {txt:(mean)}
{lalign 9:54._at: }{space 0}{lalign 16:bgi_dec_fear_c~t} = {res:{ralign 8:.7}}
{lalign 9:}{space 0}{lalign 16:black} = {res:{ralign 8:.0861167}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:indig} = {res:{ralign 8:.0662997}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:mestizo} = {res:{ralign 8:.5058735}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:otroethn} = {res:{ralign 8:.0174047}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:incum_voter} = {res:{ralign 8:.3593217}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:cp6r} = {res:{ralign 8:1.347442}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edr} = {res:{ralign 8:1.811249}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:quintiles} = {res:{ralign 8:2.98375}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:female} = {res:{ralign 8:.5036741}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edad} = {res:{ralign 8:2.823236}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:urban} = {res:{ralign 8:.7002091}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:soct2r} = {res:{ralign 8:1.781574}} {txt:(mean)}
{lalign 9:55._at: }{space 0}{lalign 16:bgi_dec_fear_c~t} = {res:{ralign 8:.8}}
{lalign 9:}{space 0}{lalign 16:black} = {res:{ralign 8:.0861167}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:indig} = {res:{ralign 8:.0662997}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:mestizo} = {res:{ralign 8:.5058735}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:otroethn} = {res:{ralign 8:.0174047}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:incum_voter} = {res:{ralign 8:.3593217}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:cp6r} = {res:{ralign 8:1.347442}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edr} = {res:{ralign 8:1.811249}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:quintiles} = {res:{ralign 8:2.98375}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:female} = {res:{ralign 8:.5036741}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edad} = {res:{ralign 8:2.823236}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:urban} = {res:{ralign 8:.7002091}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:soct2r} = {res:{ralign 8:1.781574}} {txt:(mean)}
{lalign 9:56._at: }{space 0}{lalign 16:bgi_dec_fear_c~t} = {res:{ralign 8:.9}}
{lalign 9:}{space 0}{lalign 16:black} = {res:{ralign 8:.0861167}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:indig} = {res:{ralign 8:.0662997}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:mestizo} = {res:{ralign 8:.5058735}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:otroethn} = {res:{ralign 8:.0174047}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:incum_voter} = {res:{ralign 8:.3593217}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:cp6r} = {res:{ralign 8:1.347442}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edr} = {res:{ralign 8:1.811249}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:quintiles} = {res:{ralign 8:2.98375}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:female} = {res:{ralign 8:.5036741}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edad} = {res:{ralign 8:2.823236}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:urban} = {res:{ralign 8:.7002091}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:soct2r} = {res:{ralign 8:1.781574}} {txt:(mean)}
{lalign 9:57._at: }{space 0}{lalign 16:bgi_dec_fear_c~t} = {res:{ralign 8:1}}
{lalign 9:}{space 0}{lalign 16:black} = {res:{ralign 8:.0861167}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:indig} = {res:{ralign 8:.0662997}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:mestizo} = {res:{ralign 8:.5058735}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:otroethn} = {res:{ralign 8:.0174047}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:incum_voter} = {res:{ralign 8:.3593217}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:cp6r} = {res:{ralign 8:1.347442}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edr} = {res:{ralign 8:1.811249}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:quintiles} = {res:{ralign 8:2.98375}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:female} = {res:{ralign 8:.5036741}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edad} = {res:{ralign 8:2.823236}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:urban} = {res:{ralign 8:.7002091}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:soct2r} = {res:{ralign 8:1.781574}} {txt:(mean)}
{lalign 9:58._at: }{space 0}{lalign 16:bgi_dec_fear_c~t} = {res:{ralign 8:1.1}}
{lalign 9:}{space 0}{lalign 16:black} = {res:{ralign 8:.0861167}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:indig} = {res:{ralign 8:.0662997}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:mestizo} = {res:{ralign 8:.5058735}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:otroethn} = {res:{ralign 8:.0174047}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:incum_voter} = {res:{ralign 8:.3593217}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:cp6r} = {res:{ralign 8:1.347442}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edr} = {res:{ralign 8:1.811249}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:quintiles} = {res:{ralign 8:2.98375}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:female} = {res:{ralign 8:.5036741}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edad} = {res:{ralign 8:2.823236}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:urban} = {res:{ralign 8:.7002091}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:soct2r} = {res:{ralign 8:1.781574}} {txt:(mean)}
{lalign 9:59._at: }{space 0}{lalign 16:bgi_dec_fear_c~t} = {res:{ralign 8:1.2}}
{lalign 9:}{space 0}{lalign 16:black} = {res:{ralign 8:.0861167}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:indig} = {res:{ralign 8:.0662997}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:mestizo} = {res:{ralign 8:.5058735}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:otroethn} = {res:{ralign 8:.0174047}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:incum_voter} = {res:{ralign 8:.3593217}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:cp6r} = {res:{ralign 8:1.347442}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edr} = {res:{ralign 8:1.811249}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:quintiles} = {res:{ralign 8:2.98375}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:female} = {res:{ralign 8:.5036741}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edad} = {res:{ralign 8:2.823236}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:urban} = {res:{ralign 8:.7002091}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:soct2r} = {res:{ralign 8:1.781574}} {txt:(mean)}
{lalign 9:60._at: }{space 0}{lalign 16:bgi_dec_fear_c~t} = {res:{ralign 8:1.3}}
{lalign 9:}{space 0}{lalign 16:black} = {res:{ralign 8:.0861167}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:indig} = {res:{ralign 8:.0662997}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:mestizo} = {res:{ralign 8:.5058735}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:otroethn} = {res:{ralign 8:.0174047}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:incum_voter} = {res:{ralign 8:.3593217}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:cp6r} = {res:{ralign 8:1.347442}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edr} = {res:{ralign 8:1.811249}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:quintiles} = {res:{ralign 8:2.98375}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:female} = {res:{ralign 8:.5036741}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edad} = {res:{ralign 8:2.823236}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:urban} = {res:{ralign 8:.7002091}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:soct2r} = {res:{ralign 8:1.781574}} {txt:(mean)}
{lalign 9:61._at: }{space 0}{lalign 16:bgi_dec_fear_c~t} = {res:{ralign 8:1.4}}
{lalign 9:}{space 0}{lalign 16:black} = {res:{ralign 8:.0861167}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:indig} = {res:{ralign 8:.0662997}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:mestizo} = {res:{ralign 8:.5058735}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:otroethn} = {res:{ralign 8:.0174047}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:incum_voter} = {res:{ralign 8:.3593217}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:cp6r} = {res:{ralign 8:1.347442}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edr} = {res:{ralign 8:1.811249}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:quintiles} = {res:{ralign 8:2.98375}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:female} = {res:{ralign 8:.5036741}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edad} = {res:{ralign 8:2.823236}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:urban} = {res:{ralign 8:.7002091}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:soct2r} = {res:{ralign 8:1.781574}} {txt:(mean)}
{lalign 9:62._at: }{space 0}{lalign 16:bgi_dec_fear_c~t} = {res:{ralign 8:1.5}}
{lalign 9:}{space 0}{lalign 16:black} = {res:{ralign 8:.0861167}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:indig} = {res:{ralign 8:.0662997}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:mestizo} = {res:{ralign 8:.5058735}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:otroethn} = {res:{ralign 8:.0174047}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:incum_voter} = {res:{ralign 8:.3593217}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:cp6r} = {res:{ralign 8:1.347442}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edr} = {res:{ralign 8:1.811249}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:quintiles} = {res:{ralign 8:2.98375}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:female} = {res:{ralign 8:.5036741}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edad} = {res:{ralign 8:2.823236}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:urban} = {res:{ralign 8:.7002091}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:soct2r} = {res:{ralign 8:1.781574}} {txt:(mean)}
{lalign 9:63._at: }{space 0}{lalign 16:bgi_dec_fear_c~t} = {res:{ralign 8:1.6}}
{lalign 9:}{space 0}{lalign 16:black} = {res:{ralign 8:.0861167}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:indig} = {res:{ralign 8:.0662997}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:mestizo} = {res:{ralign 8:.5058735}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:otroethn} = {res:{ralign 8:.0174047}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:incum_voter} = {res:{ralign 8:.3593217}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:cp6r} = {res:{ralign 8:1.347442}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edr} = {res:{ralign 8:1.811249}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:quintiles} = {res:{ralign 8:2.98375}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:female} = {res:{ralign 8:.5036741}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edad} = {res:{ralign 8:2.823236}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:urban} = {res:{ralign 8:.7002091}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:soct2r} = {res:{ralign 8:1.781574}} {txt:(mean)}
{lalign 9:64._at: }{space 0}{lalign 16:bgi_dec_fear_c~t} = {res:{ralign 8:1.7}}
{lalign 9:}{space 0}{lalign 16:black} = {res:{ralign 8:.0861167}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:indig} = {res:{ralign 8:.0662997}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:mestizo} = {res:{ralign 8:.5058735}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:otroethn} = {res:{ralign 8:.0174047}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:incum_voter} = {res:{ralign 8:.3593217}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:cp6r} = {res:{ralign 8:1.347442}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edr} = {res:{ralign 8:1.811249}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:quintiles} = {res:{ralign 8:2.98375}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:female} = {res:{ralign 8:.5036741}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edad} = {res:{ralign 8:2.823236}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:urban} = {res:{ralign 8:.7002091}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:soct2r} = {res:{ralign 8:1.781574}} {txt:(mean)}
{lalign 9:65._at: }{space 0}{lalign 16:bgi_dec_fear_c~t} = {res:{ralign 8:1.8}}
{lalign 9:}{space 0}{lalign 16:black} = {res:{ralign 8:.0861167}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:indig} = {res:{ralign 8:.0662997}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:mestizo} = {res:{ralign 8:.5058735}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:otroethn} = {res:{ralign 8:.0174047}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:incum_voter} = {res:{ralign 8:.3593217}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:cp6r} = {res:{ralign 8:1.347442}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edr} = {res:{ralign 8:1.811249}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:quintiles} = {res:{ralign 8:2.98375}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:female} = {res:{ralign 8:.5036741}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edad} = {res:{ralign 8:2.823236}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:urban} = {res:{ralign 8:.7002091}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:soct2r} = {res:{ralign 8:1.781574}} {txt:(mean)}
{lalign 9:66._at: }{space 0}{lalign 16:bgi_dec_fear_c~t} = {res:{ralign 8:1.9}}
{lalign 9:}{space 0}{lalign 16:black} = {res:{ralign 8:.0861167}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:indig} = {res:{ralign 8:.0662997}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:mestizo} = {res:{ralign 8:.5058735}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:otroethn} = {res:{ralign 8:.0174047}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:incum_voter} = {res:{ralign 8:.3593217}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:cp6r} = {res:{ralign 8:1.347442}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edr} = {res:{ralign 8:1.811249}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:quintiles} = {res:{ralign 8:2.98375}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:female} = {res:{ralign 8:.5036741}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edad} = {res:{ralign 8:2.823236}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:urban} = {res:{ralign 8:.7002091}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:soct2r} = {res:{ralign 8:1.781574}} {txt:(mean)}
{lalign 9:67._at: }{space 0}{lalign 16:bgi_dec_fear_c~t} = {res:{ralign 8:2}}
{lalign 9:}{space 0}{lalign 16:black} = {res:{ralign 8:.0861167}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:indig} = {res:{ralign 8:.0662997}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:mestizo} = {res:{ralign 8:.5058735}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:otroethn} = {res:{ralign 8:.0174047}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:incum_voter} = {res:{ralign 8:.3593217}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:cp6r} = {res:{ralign 8:1.347442}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edr} = {res:{ralign 8:1.811249}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:quintiles} = {res:{ralign 8:2.98375}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:female} = {res:{ralign 8:.5036741}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edad} = {res:{ralign 8:2.823236}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:urban} = {res:{ralign 8:.7002091}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:soct2r} = {res:{ralign 8:1.781574}} {txt:(mean)}
{lalign 9:68._at: }{space 0}{lalign 16:bgi_dec_fear_c~t} = {res:{ralign 8:2.1}}
{lalign 9:}{space 0}{lalign 16:black} = {res:{ralign 8:.0861167}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:indig} = {res:{ralign 8:.0662997}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:mestizo} = {res:{ralign 8:.5058735}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:otroethn} = {res:{ralign 8:.0174047}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:incum_voter} = {res:{ralign 8:.3593217}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:cp6r} = {res:{ralign 8:1.347442}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edr} = {res:{ralign 8:1.811249}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:quintiles} = {res:{ralign 8:2.98375}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:female} = {res:{ralign 8:.5036741}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edad} = {res:{ralign 8:2.823236}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:urban} = {res:{ralign 8:.7002091}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:soct2r} = {res:{ralign 8:1.781574}} {txt:(mean)}
{lalign 9:69._at: }{space 0}{lalign 16:bgi_dec_fear_c~t} = {res:{ralign 8:2.2}}
{lalign 9:}{space 0}{lalign 16:black} = {res:{ralign 8:.0861167}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:indig} = {res:{ralign 8:.0662997}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:mestizo} = {res:{ralign 8:.5058735}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:otroethn} = {res:{ralign 8:.0174047}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:incum_voter} = {res:{ralign 8:.3593217}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:cp6r} = {res:{ralign 8:1.347442}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edr} = {res:{ralign 8:1.811249}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:quintiles} = {res:{ralign 8:2.98375}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:female} = {res:{ralign 8:.5036741}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edad} = {res:{ralign 8:2.823236}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:urban} = {res:{ralign 8:.7002091}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:soct2r} = {res:{ralign 8:1.781574}} {txt:(mean)}
{lalign 9:70._at: }{space 0}{lalign 16:bgi_dec_fear_c~t} = {res:{ralign 8:2.3}}
{lalign 9:}{space 0}{lalign 16:black} = {res:{ralign 8:.0861167}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:indig} = {res:{ralign 8:.0662997}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:mestizo} = {res:{ralign 8:.5058735}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:otroethn} = {res:{ralign 8:.0174047}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:incum_voter} = {res:{ralign 8:.3593217}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:cp6r} = {res:{ralign 8:1.347442}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edr} = {res:{ralign 8:1.811249}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:quintiles} = {res:{ralign 8:2.98375}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:female} = {res:{ralign 8:.5036741}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edad} = {res:{ralign 8:2.823236}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:urban} = {res:{ralign 8:.7002091}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:soct2r} = {res:{ralign 8:1.781574}} {txt:(mean)}
{lalign 9:71._at: }{space 0}{lalign 16:bgi_dec_fear_c~t} = {res:{ralign 8:2.4}}
{lalign 9:}{space 0}{lalign 16:black} = {res:{ralign 8:.0861167}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:indig} = {res:{ralign 8:.0662997}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:mestizo} = {res:{ralign 8:.5058735}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:otroethn} = {res:{ralign 8:.0174047}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:incum_voter} = {res:{ralign 8:.3593217}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:cp6r} = {res:{ralign 8:1.347442}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edr} = {res:{ralign 8:1.811249}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:quintiles} = {res:{ralign 8:2.98375}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:female} = {res:{ralign 8:.5036741}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edad} = {res:{ralign 8:2.823236}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:urban} = {res:{ralign 8:.7002091}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:soct2r} = {res:{ralign 8:1.781574}} {txt:(mean)}
{lalign 9:72._at: }{space 0}{lalign 16:bgi_dec_fear_c~t} = {res:{ralign 8:2.5}}
{lalign 9:}{space 0}{lalign 16:black} = {res:{ralign 8:.0861167}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:indig} = {res:{ralign 8:.0662997}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:mestizo} = {res:{ralign 8:.5058735}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:otroethn} = {res:{ralign 8:.0174047}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:incum_voter} = {res:{ralign 8:.3593217}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:cp6r} = {res:{ralign 8:1.347442}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edr} = {res:{ralign 8:1.811249}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:quintiles} = {res:{ralign 8:2.98375}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:female} = {res:{ralign 8:.5036741}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edad} = {res:{ralign 8:2.823236}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:urban} = {res:{ralign 8:.7002091}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:soct2r} = {res:{ralign 8:1.781574}} {txt:(mean)}
{lalign 9:73._at: }{space 0}{lalign 16:bgi_dec_fear_c~t} = {res:{ralign 8:2.6}}
{lalign 9:}{space 0}{lalign 16:black} = {res:{ralign 8:.0861167}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:indig} = {res:{ralign 8:.0662997}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:mestizo} = {res:{ralign 8:.5058735}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:otroethn} = {res:{ralign 8:.0174047}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:incum_voter} = {res:{ralign 8:.3593217}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:cp6r} = {res:{ralign 8:1.347442}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edr} = {res:{ralign 8:1.811249}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:quintiles} = {res:{ralign 8:2.98375}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:female} = {res:{ralign 8:.5036741}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edad} = {res:{ralign 8:2.823236}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:urban} = {res:{ralign 8:.7002091}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:soct2r} = {res:{ralign 8:1.781574}} {txt:(mean)}
{lalign 9:74._at: }{space 0}{lalign 16:bgi_dec_fear_c~t} = {res:{ralign 8:2.7}}
{lalign 9:}{space 0}{lalign 16:black} = {res:{ralign 8:.0861167}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:indig} = {res:{ralign 8:.0662997}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:mestizo} = {res:{ralign 8:.5058735}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:otroethn} = {res:{ralign 8:.0174047}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:incum_voter} = {res:{ralign 8:.3593217}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:cp6r} = {res:{ralign 8:1.347442}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edr} = {res:{ralign 8:1.811249}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:quintiles} = {res:{ralign 8:2.98375}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:female} = {res:{ralign 8:.5036741}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edad} = {res:{ralign 8:2.823236}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:urban} = {res:{ralign 8:.7002091}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:soct2r} = {res:{ralign 8:1.781574}} {txt:(mean)}
{lalign 9:75._at: }{space 0}{lalign 16:bgi_dec_fear_c~t} = {res:{ralign 8:2.8}}
{lalign 9:}{space 0}{lalign 16:black} = {res:{ralign 8:.0861167}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:indig} = {res:{ralign 8:.0662997}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:mestizo} = {res:{ralign 8:.5058735}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:otroethn} = {res:{ralign 8:.0174047}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:incum_voter} = {res:{ralign 8:.3593217}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:cp6r} = {res:{ralign 8:1.347442}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edr} = {res:{ralign 8:1.811249}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:quintiles} = {res:{ralign 8:2.98375}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:female} = {res:{ralign 8:.5036741}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edad} = {res:{ralign 8:2.823236}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:urban} = {res:{ralign 8:.7002091}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:soct2r} = {res:{ralign 8:1.781574}} {txt:(mean)}
{lalign 9:76._at: }{space 0}{lalign 16:bgi_dec_fear_c~t} = {res:{ralign 8:2.9}}
{lalign 9:}{space 0}{lalign 16:black} = {res:{ralign 8:.0861167}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:indig} = {res:{ralign 8:.0662997}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:mestizo} = {res:{ralign 8:.5058735}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:otroethn} = {res:{ralign 8:.0174047}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:incum_voter} = {res:{ralign 8:.3593217}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:cp6r} = {res:{ralign 8:1.347442}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edr} = {res:{ralign 8:1.811249}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:quintiles} = {res:{ralign 8:2.98375}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:female} = {res:{ralign 8:.5036741}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edad} = {res:{ralign 8:2.823236}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:urban} = {res:{ralign 8:.7002091}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:soct2r} = {res:{ralign 8:1.781574}} {txt:(mean)}
{lalign 9:77._at: }{space 0}{lalign 16:bgi_dec_fear_c~t} = {res:{ralign 8:3}}
{lalign 9:}{space 0}{lalign 16:black} = {res:{ralign 8:.0861167}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:indig} = {res:{ralign 8:.0662997}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:mestizo} = {res:{ralign 8:.5058735}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:otroethn} = {res:{ralign 8:.0174047}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:incum_voter} = {res:{ralign 8:.3593217}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:cp6r} = {res:{ralign 8:1.347442}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edr} = {res:{ralign 8:1.811249}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:quintiles} = {res:{ralign 8:2.98375}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:female} = {res:{ralign 8:.5036741}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edad} = {res:{ralign 8:2.823236}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:urban} = {res:{ralign 8:.7002091}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:soct2r} = {res:{ralign 8:1.781574}} {txt:(mean)}
{lalign 9:78._at: }{space 0}{lalign 16:bgi_dec_fear_c~t} = {res:{ralign 8:3.1}}
{lalign 9:}{space 0}{lalign 16:black} = {res:{ralign 8:.0861167}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:indig} = {res:{ralign 8:.0662997}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:mestizo} = {res:{ralign 8:.5058735}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:otroethn} = {res:{ralign 8:.0174047}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:incum_voter} = {res:{ralign 8:.3593217}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:cp6r} = {res:{ralign 8:1.347442}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edr} = {res:{ralign 8:1.811249}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:quintiles} = {res:{ralign 8:2.98375}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:female} = {res:{ralign 8:.5036741}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edad} = {res:{ralign 8:2.823236}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:urban} = {res:{ralign 8:.7002091}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:soct2r} = {res:{ralign 8:1.781574}} {txt:(mean)}
{lalign 9:79._at: }{space 0}{lalign 16:bgi_dec_fear_c~t} = {res:{ralign 8:3.2}}
{lalign 9:}{space 0}{lalign 16:black} = {res:{ralign 8:.0861167}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:indig} = {res:{ralign 8:.0662997}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:mestizo} = {res:{ralign 8:.5058735}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:otroethn} = {res:{ralign 8:.0174047}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:incum_voter} = {res:{ralign 8:.3593217}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:cp6r} = {res:{ralign 8:1.347442}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edr} = {res:{ralign 8:1.811249}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:quintiles} = {res:{ralign 8:2.98375}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:female} = {res:{ralign 8:.5036741}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edad} = {res:{ralign 8:2.823236}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:urban} = {res:{ralign 8:.7002091}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:soct2r} = {res:{ralign 8:1.781574}} {txt:(mean)}
{lalign 9:80._at: }{space 0}{lalign 16:bgi_dec_fear_c~t} = {res:{ralign 8:3.3}}
{lalign 9:}{space 0}{lalign 16:black} = {res:{ralign 8:.0861167}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:indig} = {res:{ralign 8:.0662997}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:mestizo} = {res:{ralign 8:.5058735}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:otroethn} = {res:{ralign 8:.0174047}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:incum_voter} = {res:{ralign 8:.3593217}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:cp6r} = {res:{ralign 8:1.347442}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edr} = {res:{ralign 8:1.811249}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:quintiles} = {res:{ralign 8:2.98375}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:female} = {res:{ralign 8:.5036741}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edad} = {res:{ralign 8:2.823236}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:urban} = {res:{ralign 8:.7002091}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:soct2r} = {res:{ralign 8:1.781574}} {txt:(mean)}
{lalign 9:81._at: }{space 0}{lalign 16:bgi_dec_fear_c~t} = {res:{ralign 8:3.4}}
{lalign 9:}{space 0}{lalign 16:black} = {res:{ralign 8:.0861167}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:indig} = {res:{ralign 8:.0662997}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:mestizo} = {res:{ralign 8:.5058735}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:otroethn} = {res:{ralign 8:.0174047}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:incum_voter} = {res:{ralign 8:.3593217}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:cp6r} = {res:{ralign 8:1.347442}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edr} = {res:{ralign 8:1.811249}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:quintiles} = {res:{ralign 8:2.98375}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:female} = {res:{ralign 8:.5036741}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edad} = {res:{ralign 8:2.823236}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:urban} = {res:{ralign 8:.7002091}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:soct2r} = {res:{ralign 8:1.781574}} {txt:(mean)}
{lalign 9:82._at: }{space 0}{lalign 16:bgi_dec_fear_c~t} = {res:{ralign 8:3.5}}
{lalign 9:}{space 0}{lalign 16:black} = {res:{ralign 8:.0861167}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:indig} = {res:{ralign 8:.0662997}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:mestizo} = {res:{ralign 8:.5058735}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:otroethn} = {res:{ralign 8:.0174047}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:incum_voter} = {res:{ralign 8:.3593217}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:cp6r} = {res:{ralign 8:1.347442}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edr} = {res:{ralign 8:1.811249}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:quintiles} = {res:{ralign 8:2.98375}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:female} = {res:{ralign 8:.5036741}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edad} = {res:{ralign 8:2.823236}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:urban} = {res:{ralign 8:.7002091}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:soct2r} = {res:{ralign 8:1.781574}} {txt:(mean)}
{lalign 9:83._at: }{space 0}{lalign 16:bgi_dec_fear_c~t} = {res:{ralign 8:3.6}}
{lalign 9:}{space 0}{lalign 16:black} = {res:{ralign 8:.0861167}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:indig} = {res:{ralign 8:.0662997}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:mestizo} = {res:{ralign 8:.5058735}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:otroethn} = {res:{ralign 8:.0174047}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:incum_voter} = {res:{ralign 8:.3593217}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:cp6r} = {res:{ralign 8:1.347442}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edr} = {res:{ralign 8:1.811249}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:quintiles} = {res:{ralign 8:2.98375}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:female} = {res:{ralign 8:.5036741}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edad} = {res:{ralign 8:2.823236}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:urban} = {res:{ralign 8:.7002091}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:soct2r} = {res:{ralign 8:1.781574}} {txt:(mean)}
{lalign 9:84._at: }{space 0}{lalign 16:bgi_dec_fear_c~t} = {res:{ralign 8:3.7}}
{lalign 9:}{space 0}{lalign 16:black} = {res:{ralign 8:.0861167}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:indig} = {res:{ralign 8:.0662997}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:mestizo} = {res:{ralign 8:.5058735}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:otroethn} = {res:{ralign 8:.0174047}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:incum_voter} = {res:{ralign 8:.3593217}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:cp6r} = {res:{ralign 8:1.347442}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edr} = {res:{ralign 8:1.811249}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:quintiles} = {res:{ralign 8:2.98375}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:female} = {res:{ralign 8:.5036741}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edad} = {res:{ralign 8:2.823236}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:urban} = {res:{ralign 8:.7002091}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:soct2r} = {res:{ralign 8:1.781574}} {txt:(mean)}
{lalign 9:85._at: }{space 0}{lalign 16:bgi_dec_fear_c~t} = {res:{ralign 8:3.8}}
{lalign 9:}{space 0}{lalign 16:black} = {res:{ralign 8:.0861167}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:indig} = {res:{ralign 8:.0662997}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:mestizo} = {res:{ralign 8:.5058735}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:otroethn} = {res:{ralign 8:.0174047}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:incum_voter} = {res:{ralign 8:.3593217}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:cp6r} = {res:{ralign 8:1.347442}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edr} = {res:{ralign 8:1.811249}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:quintiles} = {res:{ralign 8:2.98375}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:female} = {res:{ralign 8:.5036741}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edad} = {res:{ralign 8:2.823236}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:urban} = {res:{ralign 8:.7002091}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:soct2r} = {res:{ralign 8:1.781574}} {txt:(mean)}
{lalign 9:86._at: }{space 0}{lalign 16:bgi_dec_fear_c~t} = {res:{ralign 8:3.9}}
{lalign 9:}{space 0}{lalign 16:black} = {res:{ralign 8:.0861167}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:indig} = {res:{ralign 8:.0662997}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:mestizo} = {res:{ralign 8:.5058735}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:otroethn} = {res:{ralign 8:.0174047}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:incum_voter} = {res:{ralign 8:.3593217}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:cp6r} = {res:{ralign 8:1.347442}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edr} = {res:{ralign 8:1.811249}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:quintiles} = {res:{ralign 8:2.98375}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:female} = {res:{ralign 8:.5036741}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edad} = {res:{ralign 8:2.823236}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:urban} = {res:{ralign 8:.7002091}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:soct2r} = {res:{ralign 8:1.781574}} {txt:(mean)}
{lalign 9:87._at: }{space 0}{lalign 16:bgi_dec_fear_c~t} = {res:{ralign 8:4}}
{lalign 9:}{space 0}{lalign 16:black} = {res:{ralign 8:.0861167}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:indig} = {res:{ralign 8:.0662997}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:mestizo} = {res:{ralign 8:.5058735}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:otroethn} = {res:{ralign 8:.0174047}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:incum_voter} = {res:{ralign 8:.3593217}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:cp6r} = {res:{ralign 8:1.347442}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edr} = {res:{ralign 8:1.811249}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:quintiles} = {res:{ralign 8:2.98375}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:female} = {res:{ralign 8:.5036741}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edad} = {res:{ralign 8:2.823236}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:urban} = {res:{ralign 8:.7002091}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:soct2r} = {res:{ralign 8:1.781574}} {txt:(mean)}
{lalign 9:88._at: }{space 0}{lalign 16:bgi_dec_fear_c~t} = {res:{ralign 8:4.1}}
{lalign 9:}{space 0}{lalign 16:black} = {res:{ralign 8:.0861167}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:indig} = {res:{ralign 8:.0662997}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:mestizo} = {res:{ralign 8:.5058735}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:otroethn} = {res:{ralign 8:.0174047}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:incum_voter} = {res:{ralign 8:.3593217}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:cp6r} = {res:{ralign 8:1.347442}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edr} = {res:{ralign 8:1.811249}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:quintiles} = {res:{ralign 8:2.98375}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:female} = {res:{ralign 8:.5036741}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edad} = {res:{ralign 8:2.823236}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:urban} = {res:{ralign 8:.7002091}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:soct2r} = {res:{ralign 8:1.781574}} {txt:(mean)}
{lalign 9:89._at: }{space 0}{lalign 16:bgi_dec_fear_c~t} = {res:{ralign 8:4.2}}
{lalign 9:}{space 0}{lalign 16:black} = {res:{ralign 8:.0861167}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:indig} = {res:{ralign 8:.0662997}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:mestizo} = {res:{ralign 8:.5058735}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:otroethn} = {res:{ralign 8:.0174047}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:incum_voter} = {res:{ralign 8:.3593217}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:cp6r} = {res:{ralign 8:1.347442}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edr} = {res:{ralign 8:1.811249}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:quintiles} = {res:{ralign 8:2.98375}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:female} = {res:{ralign 8:.5036741}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edad} = {res:{ralign 8:2.823236}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:urban} = {res:{ralign 8:.7002091}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:soct2r} = {res:{ralign 8:1.781574}} {txt:(mean)}
{lalign 9:90._at: }{space 0}{lalign 16:bgi_dec_fear_c~t} = {res:{ralign 8:4.3}}
{lalign 9:}{space 0}{lalign 16:black} = {res:{ralign 8:.0861167}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:indig} = {res:{ralign 8:.0662997}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:mestizo} = {res:{ralign 8:.5058735}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:otroethn} = {res:{ralign 8:.0174047}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:incum_voter} = {res:{ralign 8:.3593217}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:cp6r} = {res:{ralign 8:1.347442}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edr} = {res:{ralign 8:1.811249}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:quintiles} = {res:{ralign 8:2.98375}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:female} = {res:{ralign 8:.5036741}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edad} = {res:{ralign 8:2.823236}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:urban} = {res:{ralign 8:.7002091}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:soct2r} = {res:{ralign 8:1.781574}} {txt:(mean)}
{lalign 9:91._at: }{space 0}{lalign 16:bgi_dec_fear_c~t} = {res:{ralign 8:4.4}}
{lalign 9:}{space 0}{lalign 16:black} = {res:{ralign 8:.0861167}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:indig} = {res:{ralign 8:.0662997}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:mestizo} = {res:{ralign 8:.5058735}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:otroethn} = {res:{ralign 8:.0174047}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:incum_voter} = {res:{ralign 8:.3593217}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:cp6r} = {res:{ralign 8:1.347442}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edr} = {res:{ralign 8:1.811249}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:quintiles} = {res:{ralign 8:2.98375}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:female} = {res:{ralign 8:.5036741}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edad} = {res:{ralign 8:2.823236}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:urban} = {res:{ralign 8:.7002091}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:soct2r} = {res:{ralign 8:1.781574}} {txt:(mean)}
{lalign 9:92._at: }{space 0}{lalign 16:bgi_dec_fear_c~t} = {res:{ralign 8:4.5}}
{lalign 9:}{space 0}{lalign 16:black} = {res:{ralign 8:.0861167}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:indig} = {res:{ralign 8:.0662997}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:mestizo} = {res:{ralign 8:.5058735}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:otroethn} = {res:{ralign 8:.0174047}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:incum_voter} = {res:{ralign 8:.3593217}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:cp6r} = {res:{ralign 8:1.347442}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edr} = {res:{ralign 8:1.811249}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:quintiles} = {res:{ralign 8:2.98375}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:female} = {res:{ralign 8:.5036741}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edad} = {res:{ralign 8:2.823236}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:urban} = {res:{ralign 8:.7002091}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:soct2r} = {res:{ralign 8:1.781574}} {txt:(mean)}
{lalign 9:93._at: }{space 0}{lalign 16:bgi_dec_fear_c~t} = {res:{ralign 8:4.6}}
{lalign 9:}{space 0}{lalign 16:black} = {res:{ralign 8:.0861167}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:indig} = {res:{ralign 8:.0662997}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:mestizo} = {res:{ralign 8:.5058735}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:otroethn} = {res:{ralign 8:.0174047}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:incum_voter} = {res:{ralign 8:.3593217}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:cp6r} = {res:{ralign 8:1.347442}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edr} = {res:{ralign 8:1.811249}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:quintiles} = {res:{ralign 8:2.98375}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:female} = {res:{ralign 8:.5036741}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edad} = {res:{ralign 8:2.823236}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:urban} = {res:{ralign 8:.7002091}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:soct2r} = {res:{ralign 8:1.781574}} {txt:(mean)}
{lalign 9:94._at: }{space 0}{lalign 16:bgi_dec_fear_c~t} = {res:{ralign 8:4.7}}
{lalign 9:}{space 0}{lalign 16:black} = {res:{ralign 8:.0861167}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:indig} = {res:{ralign 8:.0662997}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:mestizo} = {res:{ralign 8:.5058735}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:otroethn} = {res:{ralign 8:.0174047}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:incum_voter} = {res:{ralign 8:.3593217}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:cp6r} = {res:{ralign 8:1.347442}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edr} = {res:{ralign 8:1.811249}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:quintiles} = {res:{ralign 8:2.98375}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:female} = {res:{ralign 8:.5036741}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edad} = {res:{ralign 8:2.823236}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:urban} = {res:{ralign 8:.7002091}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:soct2r} = {res:{ralign 8:1.781574}} {txt:(mean)}
{lalign 9:95._at: }{space 0}{lalign 16:bgi_dec_fear_c~t} = {res:{ralign 8:4.8}}
{lalign 9:}{space 0}{lalign 16:black} = {res:{ralign 8:.0861167}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:indig} = {res:{ralign 8:.0662997}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:mestizo} = {res:{ralign 8:.5058735}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:otroethn} = {res:{ralign 8:.0174047}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:incum_voter} = {res:{ralign 8:.3593217}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:cp6r} = {res:{ralign 8:1.347442}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edr} = {res:{ralign 8:1.811249}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:quintiles} = {res:{ralign 8:2.98375}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:female} = {res:{ralign 8:.5036741}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edad} = {res:{ralign 8:2.823236}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:urban} = {res:{ralign 8:.7002091}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:soct2r} = {res:{ralign 8:1.781574}} {txt:(mean)}
{lalign 9:96._at: }{space 0}{lalign 16:bgi_dec_fear_c~t} = {res:{ralign 8:4.9}}
{lalign 9:}{space 0}{lalign 16:black} = {res:{ralign 8:.0861167}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:indig} = {res:{ralign 8:.0662997}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:mestizo} = {res:{ralign 8:.5058735}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:otroethn} = {res:{ralign 8:.0174047}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:incum_voter} = {res:{ralign 8:.3593217}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:cp6r} = {res:{ralign 8:1.347442}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edr} = {res:{ralign 8:1.811249}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:quintiles} = {res:{ralign 8:2.98375}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:female} = {res:{ralign 8:.5036741}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edad} = {res:{ralign 8:2.823236}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:urban} = {res:{ralign 8:.7002091}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:soct2r} = {res:{ralign 8:1.781574}} {txt:(mean)}
{lalign 9:97._at: }{space 0}{lalign 16:bgi_dec_fear_c~t} = {res:{ralign 8:5}}
{lalign 9:}{space 0}{lalign 16:black} = {res:{ralign 8:.0861167}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:indig} = {res:{ralign 8:.0662997}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:mestizo} = {res:{ralign 8:.5058735}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:otroethn} = {res:{ralign 8:.0174047}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:incum_voter} = {res:{ralign 8:.3593217}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:cp6r} = {res:{ralign 8:1.347442}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edr} = {res:{ralign 8:1.811249}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:quintiles} = {res:{ralign 8:2.98375}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:female} = {res:{ralign 8:.5036741}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edad} = {res:{ralign 8:2.823236}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:urban} = {res:{ralign 8:.7002091}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:soct2r} = {res:{ralign 8:1.781574}} {txt:(mean)}
{lalign 9:98._at: }{space 0}{lalign 16:bgi_dec_fear_c~t} = {res:{ralign 8:5.1}}
{lalign 9:}{space 0}{lalign 16:black} = {res:{ralign 8:.0861167}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:indig} = {res:{ralign 8:.0662997}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:mestizo} = {res:{ralign 8:.5058735}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:otroethn} = {res:{ralign 8:.0174047}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:incum_voter} = {res:{ralign 8:.3593217}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:cp6r} = {res:{ralign 8:1.347442}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edr} = {res:{ralign 8:1.811249}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:quintiles} = {res:{ralign 8:2.98375}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:female} = {res:{ralign 8:.5036741}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edad} = {res:{ralign 8:2.823236}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:urban} = {res:{ralign 8:.7002091}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:soct2r} = {res:{ralign 8:1.781574}} {txt:(mean)}
{lalign 9:99._at: }{space 0}{lalign 16:bgi_dec_fear_c~t} = {res:{ralign 8:5.2}}
{lalign 9:}{space 0}{lalign 16:black} = {res:{ralign 8:.0861167}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:indig} = {res:{ralign 8:.0662997}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:mestizo} = {res:{ralign 8:.5058735}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:otroethn} = {res:{ralign 8:.0174047}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:incum_voter} = {res:{ralign 8:.3593217}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:cp6r} = {res:{ralign 8:1.347442}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edr} = {res:{ralign 8:1.811249}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:quintiles} = {res:{ralign 8:2.98375}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:female} = {res:{ralign 8:.5036741}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edad} = {res:{ralign 8:2.823236}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:urban} = {res:{ralign 8:.7002091}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:soct2r} = {res:{ralign 8:1.781574}} {txt:(mean)}
{lalign 9:100._at: }{space 0}{lalign 16:bgi_dec_fear_c~t} = {res:{ralign 8:5.3}}
{lalign 9:}{space 0}{lalign 16:black} = {res:{ralign 8:.0861167}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:indig} = {res:{ralign 8:.0662997}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:mestizo} = {res:{ralign 8:.5058735}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:otroethn} = {res:{ralign 8:.0174047}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:incum_voter} = {res:{ralign 8:.3593217}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:cp6r} = {res:{ralign 8:1.347442}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edr} = {res:{ralign 8:1.811249}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:quintiles} = {res:{ralign 8:2.98375}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:female} = {res:{ralign 8:.5036741}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edad} = {res:{ralign 8:2.823236}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:urban} = {res:{ralign 8:.7002091}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:soct2r} = {res:{ralign 8:1.781574}} {txt:(mean)}
{lalign 9:101._at: }{space 0}{lalign 16:bgi_dec_fear_c~t} = {res:{ralign 8:5.4}}
{lalign 9:}{space 0}{lalign 16:black} = {res:{ralign 8:.0861167}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:indig} = {res:{ralign 8:.0662997}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:mestizo} = {res:{ralign 8:.5058735}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:otroethn} = {res:{ralign 8:.0174047}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:incum_voter} = {res:{ralign 8:.3593217}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:cp6r} = {res:{ralign 8:1.347442}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edr} = {res:{ralign 8:1.811249}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:quintiles} = {res:{ralign 8:2.98375}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:female} = {res:{ralign 8:.5036741}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edad} = {res:{ralign 8:2.823236}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:urban} = {res:{ralign 8:.7002091}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:soct2r} = {res:{ralign 8:1.781574}} {txt:(mean)}
{lalign 9:102._at: }{space 0}{lalign 16:bgi_dec_fear_c~t} = {res:{ralign 8:5.5}}
{lalign 9:}{space 0}{lalign 16:black} = {res:{ralign 8:.0861167}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:indig} = {res:{ralign 8:.0662997}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:mestizo} = {res:{ralign 8:.5058735}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:otroethn} = {res:{ralign 8:.0174047}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:incum_voter} = {res:{ralign 8:.3593217}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:cp6r} = {res:{ralign 8:1.347442}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edr} = {res:{ralign 8:1.811249}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:quintiles} = {res:{ralign 8:2.98375}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:female} = {res:{ralign 8:.5036741}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edad} = {res:{ralign 8:2.823236}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:urban} = {res:{ralign 8:.7002091}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:soct2r} = {res:{ralign 8:1.781574}} {txt:(mean)}
{lalign 9:103._at: }{space 0}{lalign 16:bgi_dec_fear_c~t} = {res:{ralign 8:5.6}}
{lalign 9:}{space 0}{lalign 16:black} = {res:{ralign 8:.0861167}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:indig} = {res:{ralign 8:.0662997}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:mestizo} = {res:{ralign 8:.5058735}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:otroethn} = {res:{ralign 8:.0174047}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:incum_voter} = {res:{ralign 8:.3593217}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:cp6r} = {res:{ralign 8:1.347442}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edr} = {res:{ralign 8:1.811249}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:quintiles} = {res:{ralign 8:2.98375}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:female} = {res:{ralign 8:.5036741}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edad} = {res:{ralign 8:2.823236}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:urban} = {res:{ralign 8:.7002091}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:soct2r} = {res:{ralign 8:1.781574}} {txt:(mean)}
{lalign 9:104._at: }{space 0}{lalign 16:bgi_dec_fear_c~t} = {res:{ralign 8:5.7}}
{lalign 9:}{space 0}{lalign 16:black} = {res:{ralign 8:.0861167}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:indig} = {res:{ralign 8:.0662997}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:mestizo} = {res:{ralign 8:.5058735}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:otroethn} = {res:{ralign 8:.0174047}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:incum_voter} = {res:{ralign 8:.3593217}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:cp6r} = {res:{ralign 8:1.347442}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edr} = {res:{ralign 8:1.811249}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:quintiles} = {res:{ralign 8:2.98375}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:female} = {res:{ralign 8:.5036741}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edad} = {res:{ralign 8:2.823236}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:urban} = {res:{ralign 8:.7002091}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:soct2r} = {res:{ralign 8:1.781574}} {txt:(mean)}
{lalign 9:105._at: }{space 0}{lalign 16:bgi_dec_fear_c~t} = {res:{ralign 8:5.8}}
{lalign 9:}{space 0}{lalign 16:black} = {res:{ralign 8:.0861167}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:indig} = {res:{ralign 8:.0662997}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:mestizo} = {res:{ralign 8:.5058735}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:otroethn} = {res:{ralign 8:.0174047}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:incum_voter} = {res:{ralign 8:.3593217}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:cp6r} = {res:{ralign 8:1.347442}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edr} = {res:{ralign 8:1.811249}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:quintiles} = {res:{ralign 8:2.98375}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:female} = {res:{ralign 8:.5036741}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edad} = {res:{ralign 8:2.823236}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:urban} = {res:{ralign 8:.7002091}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:soct2r} = {res:{ralign 8:1.781574}} {txt:(mean)}
{lalign 9:106._at: }{space 0}{lalign 16:bgi_dec_fear_c~t} = {res:{ralign 8:5.9}}
{lalign 9:}{space 0}{lalign 16:black} = {res:{ralign 8:.0861167}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:indig} = {res:{ralign 8:.0662997}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:mestizo} = {res:{ralign 8:.5058735}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:otroethn} = {res:{ralign 8:.0174047}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:incum_voter} = {res:{ralign 8:.3593217}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:cp6r} = {res:{ralign 8:1.347442}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edr} = {res:{ralign 8:1.811249}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:quintiles} = {res:{ralign 8:2.98375}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:female} = {res:{ralign 8:.5036741}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edad} = {res:{ralign 8:2.823236}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:urban} = {res:{ralign 8:.7002091}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:soct2r} = {res:{ralign 8:1.781574}} {txt:(mean)}
{lalign 9:107._at: }{space 0}{lalign 16:bgi_dec_fear_c~t} = {res:{ralign 8:6}}
{lalign 9:}{space 0}{lalign 16:black} = {res:{ralign 8:.0861167}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:indig} = {res:{ralign 8:.0662997}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:mestizo} = {res:{ralign 8:.5058735}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:otroethn} = {res:{ralign 8:.0174047}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:incum_voter} = {res:{ralign 8:.3593217}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:cp6r} = {res:{ralign 8:1.347442}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edr} = {res:{ralign 8:1.811249}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:quintiles} = {res:{ralign 8:2.98375}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:female} = {res:{ralign 8:.5036741}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edad} = {res:{ralign 8:2.823236}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:urban} = {res:{ralign 8:.7002091}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:soct2r} = {res:{ralign 8:1.781574}} {txt:(mean)}
{lalign 9:108._at: }{space 0}{lalign 16:bgi_dec_fear_c~t} = {res:{ralign 8:6.1}}
{lalign 9:}{space 0}{lalign 16:black} = {res:{ralign 8:.0861167}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:indig} = {res:{ralign 8:.0662997}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:mestizo} = {res:{ralign 8:.5058735}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:otroethn} = {res:{ralign 8:.0174047}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:incum_voter} = {res:{ralign 8:.3593217}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:cp6r} = {res:{ralign 8:1.347442}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edr} = {res:{ralign 8:1.811249}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:quintiles} = {res:{ralign 8:2.98375}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:female} = {res:{ralign 8:.5036741}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edad} = {res:{ralign 8:2.823236}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:urban} = {res:{ralign 8:.7002091}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:soct2r} = {res:{ralign 8:1.781574}} {txt:(mean)}
{lalign 9:109._at: }{space 0}{lalign 16:bgi_dec_fear_c~t} = {res:{ralign 8:6.2}}
{lalign 9:}{space 0}{lalign 16:black} = {res:{ralign 8:.0861167}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:indig} = {res:{ralign 8:.0662997}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:mestizo} = {res:{ralign 8:.5058735}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:otroethn} = {res:{ralign 8:.0174047}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:incum_voter} = {res:{ralign 8:.3593217}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:cp6r} = {res:{ralign 8:1.347442}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edr} = {res:{ralign 8:1.811249}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:quintiles} = {res:{ralign 8:2.98375}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:female} = {res:{ralign 8:.5036741}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edad} = {res:{ralign 8:2.823236}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:urban} = {res:{ralign 8:.7002091}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:soct2r} = {res:{ralign 8:1.781574}} {txt:(mean)}
{lalign 9:110._at: }{space 0}{lalign 16:bgi_dec_fear_c~t} = {res:{ralign 8:6.3}}
{lalign 9:}{space 0}{lalign 16:black} = {res:{ralign 8:.0861167}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:indig} = {res:{ralign 8:.0662997}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:mestizo} = {res:{ralign 8:.5058735}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:otroethn} = {res:{ralign 8:.0174047}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:incum_voter} = {res:{ralign 8:.3593217}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:cp6r} = {res:{ralign 8:1.347442}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edr} = {res:{ralign 8:1.811249}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:quintiles} = {res:{ralign 8:2.98375}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:female} = {res:{ralign 8:.5036741}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edad} = {res:{ralign 8:2.823236}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:urban} = {res:{ralign 8:.7002091}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:soct2r} = {res:{ralign 8:1.781574}} {txt:(mean)}
{lalign 9:111._at: }{space 0}{lalign 16:bgi_dec_fear_c~t} = {res:{ralign 8:6.4}}
{lalign 9:}{space 0}{lalign 16:black} = {res:{ralign 8:.0861167}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:indig} = {res:{ralign 8:.0662997}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:mestizo} = {res:{ralign 8:.5058735}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:otroethn} = {res:{ralign 8:.0174047}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:incum_voter} = {res:{ralign 8:.3593217}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:cp6r} = {res:{ralign 8:1.347442}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edr} = {res:{ralign 8:1.811249}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:quintiles} = {res:{ralign 8:2.98375}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:female} = {res:{ralign 8:.5036741}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edad} = {res:{ralign 8:2.823236}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:urban} = {res:{ralign 8:.7002091}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:soct2r} = {res:{ralign 8:1.781574}} {txt:(mean)}
{lalign 9:112._at: }{space 0}{lalign 16:bgi_dec_fear_c~t} = {res:{ralign 8:6.5}}
{lalign 9:}{space 0}{lalign 16:black} = {res:{ralign 8:.0861167}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:indig} = {res:{ralign 8:.0662997}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:mestizo} = {res:{ralign 8:.5058735}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:otroethn} = {res:{ralign 8:.0174047}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:incum_voter} = {res:{ralign 8:.3593217}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:cp6r} = {res:{ralign 8:1.347442}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edr} = {res:{ralign 8:1.811249}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:quintiles} = {res:{ralign 8:2.98375}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:female} = {res:{ralign 8:.5036741}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edad} = {res:{ralign 8:2.823236}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:urban} = {res:{ralign 8:.7002091}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:soct2r} = {res:{ralign 8:1.781574}} {txt:(mean)}
{lalign 9:113._at: }{space 0}{lalign 16:bgi_dec_fear_c~t} = {res:{ralign 8:6.6}}
{lalign 9:}{space 0}{lalign 16:black} = {res:{ralign 8:.0861167}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:indig} = {res:{ralign 8:.0662997}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:mestizo} = {res:{ralign 8:.5058735}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:otroethn} = {res:{ralign 8:.0174047}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:incum_voter} = {res:{ralign 8:.3593217}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:cp6r} = {res:{ralign 8:1.347442}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edr} = {res:{ralign 8:1.811249}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:quintiles} = {res:{ralign 8:2.98375}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:female} = {res:{ralign 8:.5036741}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edad} = {res:{ralign 8:2.823236}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:urban} = {res:{ralign 8:.7002091}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:soct2r} = {res:{ralign 8:1.781574}} {txt:(mean)}
{lalign 9:114._at: }{space 0}{lalign 16:bgi_dec_fear_c~t} = {res:{ralign 8:6.7}}
{lalign 9:}{space 0}{lalign 16:black} = {res:{ralign 8:.0861167}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:indig} = {res:{ralign 8:.0662997}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:mestizo} = {res:{ralign 8:.5058735}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:otroethn} = {res:{ralign 8:.0174047}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:incum_voter} = {res:{ralign 8:.3593217}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:cp6r} = {res:{ralign 8:1.347442}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edr} = {res:{ralign 8:1.811249}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:quintiles} = {res:{ralign 8:2.98375}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:female} = {res:{ralign 8:.5036741}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edad} = {res:{ralign 8:2.823236}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:urban} = {res:{ralign 8:.7002091}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:soct2r} = {res:{ralign 8:1.781574}} {txt:(mean)}
{lalign 9:115._at: }{space 0}{lalign 16:bgi_dec_fear_c~t} = {res:{ralign 8:6.8}}
{lalign 9:}{space 0}{lalign 16:black} = {res:{ralign 8:.0861167}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:indig} = {res:{ralign 8:.0662997}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:mestizo} = {res:{ralign 8:.5058735}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:otroethn} = {res:{ralign 8:.0174047}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:incum_voter} = {res:{ralign 8:.3593217}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:cp6r} = {res:{ralign 8:1.347442}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edr} = {res:{ralign 8:1.811249}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:quintiles} = {res:{ralign 8:2.98375}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:female} = {res:{ralign 8:.5036741}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edad} = {res:{ralign 8:2.823236}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:urban} = {res:{ralign 8:.7002091}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:soct2r} = {res:{ralign 8:1.781574}} {txt:(mean)}
{lalign 9:116._at: }{space 0}{lalign 16:bgi_dec_fear_c~t} = {res:{ralign 8:6.9}}
{lalign 9:}{space 0}{lalign 16:black} = {res:{ralign 8:.0861167}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:indig} = {res:{ralign 8:.0662997}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:mestizo} = {res:{ralign 8:.5058735}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:otroethn} = {res:{ralign 8:.0174047}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:incum_voter} = {res:{ralign 8:.3593217}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:cp6r} = {res:{ralign 8:1.347442}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edr} = {res:{ralign 8:1.811249}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:quintiles} = {res:{ralign 8:2.98375}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:female} = {res:{ralign 8:.5036741}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edad} = {res:{ralign 8:2.823236}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:urban} = {res:{ralign 8:.7002091}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:soct2r} = {res:{ralign 8:1.781574}} {txt:(mean)}
{lalign 9:117._at: }{space 0}{lalign 16:bgi_dec_fear_c~t} = {res:{ralign 8:7}}
{lalign 9:}{space 0}{lalign 16:black} = {res:{ralign 8:.0861167}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:indig} = {res:{ralign 8:.0662997}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:mestizo} = {res:{ralign 8:.5058735}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:otroethn} = {res:{ralign 8:.0174047}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:incum_voter} = {res:{ralign 8:.3593217}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:cp6r} = {res:{ralign 8:1.347442}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edr} = {res:{ralign 8:1.811249}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:quintiles} = {res:{ralign 8:2.98375}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:female} = {res:{ralign 8:.5036741}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edad} = {res:{ralign 8:2.823236}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:urban} = {res:{ralign 8:.7002091}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:soct2r} = {res:{ralign 8:1.781574}} {txt:(mean)}
{lalign 9:118._at: }{space 0}{lalign 16:bgi_dec_fear_c~t} = {res:{ralign 8:7.1}}
{lalign 9:}{space 0}{lalign 16:black} = {res:{ralign 8:.0861167}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:indig} = {res:{ralign 8:.0662997}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:mestizo} = {res:{ralign 8:.5058735}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:otroethn} = {res:{ralign 8:.0174047}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:incum_voter} = {res:{ralign 8:.3593217}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:cp6r} = {res:{ralign 8:1.347442}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edr} = {res:{ralign 8:1.811249}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:quintiles} = {res:{ralign 8:2.98375}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:female} = {res:{ralign 8:.5036741}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edad} = {res:{ralign 8:2.823236}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:urban} = {res:{ralign 8:.7002091}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:soct2r} = {res:{ralign 8:1.781574}} {txt:(mean)}
{lalign 9:119._at: }{space 0}{lalign 16:bgi_dec_fear_c~t} = {res:{ralign 8:7.2}}
{lalign 9:}{space 0}{lalign 16:black} = {res:{ralign 8:.0861167}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:indig} = {res:{ralign 8:.0662997}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:mestizo} = {res:{ralign 8:.5058735}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:otroethn} = {res:{ralign 8:.0174047}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:incum_voter} = {res:{ralign 8:.3593217}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:cp6r} = {res:{ralign 8:1.347442}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edr} = {res:{ralign 8:1.811249}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:quintiles} = {res:{ralign 8:2.98375}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:female} = {res:{ralign 8:.5036741}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edad} = {res:{ralign 8:2.823236}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:urban} = {res:{ralign 8:.7002091}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:soct2r} = {res:{ralign 8:1.781574}} {txt:(mean)}
{lalign 9:120._at: }{space 0}{lalign 16:bgi_dec_fear_c~t} = {res:{ralign 8:7.3}}
{lalign 9:}{space 0}{lalign 16:black} = {res:{ralign 8:.0861167}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:indig} = {res:{ralign 8:.0662997}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:mestizo} = {res:{ralign 8:.5058735}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:otroethn} = {res:{ralign 8:.0174047}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:incum_voter} = {res:{ralign 8:.3593217}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:cp6r} = {res:{ralign 8:1.347442}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edr} = {res:{ralign 8:1.811249}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:quintiles} = {res:{ralign 8:2.98375}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:female} = {res:{ralign 8:.5036741}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edad} = {res:{ralign 8:2.823236}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:urban} = {res:{ralign 8:.7002091}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:soct2r} = {res:{ralign 8:1.781574}} {txt:(mean)}
{lalign 9:121._at: }{space 0}{lalign 16:bgi_dec_fear_c~t} = {res:{ralign 8:7.4}}
{lalign 9:}{space 0}{lalign 16:black} = {res:{ralign 8:.0861167}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:indig} = {res:{ralign 8:.0662997}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:mestizo} = {res:{ralign 8:.5058735}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:otroethn} = {res:{ralign 8:.0174047}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:incum_voter} = {res:{ralign 8:.3593217}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:cp6r} = {res:{ralign 8:1.347442}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edr} = {res:{ralign 8:1.811249}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:quintiles} = {res:{ralign 8:2.98375}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:female} = {res:{ralign 8:.5036741}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edad} = {res:{ralign 8:2.823236}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:urban} = {res:{ralign 8:.7002091}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:soct2r} = {res:{ralign 8:1.781574}} {txt:(mean)}
{lalign 9:122._at: }{space 0}{lalign 16:bgi_dec_fear_c~t} = {res:{ralign 8:7.5}}
{lalign 9:}{space 0}{lalign 16:black} = {res:{ralign 8:.0861167}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:indig} = {res:{ralign 8:.0662997}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:mestizo} = {res:{ralign 8:.5058735}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:otroethn} = {res:{ralign 8:.0174047}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:incum_voter} = {res:{ralign 8:.3593217}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:cp6r} = {res:{ralign 8:1.347442}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edr} = {res:{ralign 8:1.811249}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:quintiles} = {res:{ralign 8:2.98375}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:female} = {res:{ralign 8:.5036741}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edad} = {res:{ralign 8:2.823236}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:urban} = {res:{ralign 8:.7002091}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:soct2r} = {res:{ralign 8:1.781574}} {txt:(mean)}
{lalign 9:123._at: }{space 0}{lalign 16:bgi_dec_fear_c~t} = {res:{ralign 8:7.6}}
{lalign 9:}{space 0}{lalign 16:black} = {res:{ralign 8:.0861167}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:indig} = {res:{ralign 8:.0662997}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:mestizo} = {res:{ralign 8:.5058735}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:otroethn} = {res:{ralign 8:.0174047}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:incum_voter} = {res:{ralign 8:.3593217}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:cp6r} = {res:{ralign 8:1.347442}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edr} = {res:{ralign 8:1.811249}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:quintiles} = {res:{ralign 8:2.98375}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:female} = {res:{ralign 8:.5036741}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edad} = {res:{ralign 8:2.823236}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:urban} = {res:{ralign 8:.7002091}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:soct2r} = {res:{ralign 8:1.781574}} {txt:(mean)}
{lalign 9:124._at: }{space 0}{lalign 16:bgi_dec_fear_c~t} = {res:{ralign 8:7.7}}
{lalign 9:}{space 0}{lalign 16:black} = {res:{ralign 8:.0861167}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:indig} = {res:{ralign 8:.0662997}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:mestizo} = {res:{ralign 8:.5058735}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:otroethn} = {res:{ralign 8:.0174047}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:incum_voter} = {res:{ralign 8:.3593217}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:cp6r} = {res:{ralign 8:1.347442}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edr} = {res:{ralign 8:1.811249}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:quintiles} = {res:{ralign 8:2.98375}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:female} = {res:{ralign 8:.5036741}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edad} = {res:{ralign 8:2.823236}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:urban} = {res:{ralign 8:.7002091}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:soct2r} = {res:{ralign 8:1.781574}} {txt:(mean)}
{lalign 9:125._at: }{space 0}{lalign 16:bgi_dec_fear_c~t} = {res:{ralign 8:7.8}}
{lalign 9:}{space 0}{lalign 16:black} = {res:{ralign 8:.0861167}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:indig} = {res:{ralign 8:.0662997}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:mestizo} = {res:{ralign 8:.5058735}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:otroethn} = {res:{ralign 8:.0174047}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:incum_voter} = {res:{ralign 8:.3593217}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:cp6r} = {res:{ralign 8:1.347442}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edr} = {res:{ralign 8:1.811249}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:quintiles} = {res:{ralign 8:2.98375}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:female} = {res:{ralign 8:.5036741}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edad} = {res:{ralign 8:2.823236}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:urban} = {res:{ralign 8:.7002091}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:soct2r} = {res:{ralign 8:1.781574}} {txt:(mean)}
{lalign 9:126._at: }{space 0}{lalign 16:bgi_dec_fear_c~t} = {res:{ralign 8:7.9}}
{lalign 9:}{space 0}{lalign 16:black} = {res:{ralign 8:.0861167}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:indig} = {res:{ralign 8:.0662997}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:mestizo} = {res:{ralign 8:.5058735}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:otroethn} = {res:{ralign 8:.0174047}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:incum_voter} = {res:{ralign 8:.3593217}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:cp6r} = {res:{ralign 8:1.347442}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edr} = {res:{ralign 8:1.811249}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:quintiles} = {res:{ralign 8:2.98375}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:female} = {res:{ralign 8:.5036741}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edad} = {res:{ralign 8:2.823236}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:urban} = {res:{ralign 8:.7002091}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:soct2r} = {res:{ralign 8:1.781574}} {txt:(mean)}
{lalign 9:127._at: }{space 0}{lalign 16:bgi_dec_fear_c~t} = {res:{ralign 8:8}}
{lalign 9:}{space 0}{lalign 16:black} = {res:{ralign 8:.0861167}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:indig} = {res:{ralign 8:.0662997}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:mestizo} = {res:{ralign 8:.5058735}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:otroethn} = {res:{ralign 8:.0174047}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:incum_voter} = {res:{ralign 8:.3593217}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:cp6r} = {res:{ralign 8:1.347442}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edr} = {res:{ralign 8:1.811249}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:quintiles} = {res:{ralign 8:2.98375}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:female} = {res:{ralign 8:.5036741}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edad} = {res:{ralign 8:2.823236}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:urban} = {res:{ralign 8:.7002091}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:soct2r} = {res:{ralign 8:1.781574}} {txt:(mean)}
{lalign 9:128._at: }{space 0}{lalign 16:bgi_dec_fear_c~t} = {res:{ralign 8:8.1}}
{lalign 9:}{space 0}{lalign 16:black} = {res:{ralign 8:.0861167}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:indig} = {res:{ralign 8:.0662997}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:mestizo} = {res:{ralign 8:.5058735}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:otroethn} = {res:{ralign 8:.0174047}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:incum_voter} = {res:{ralign 8:.3593217}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:cp6r} = {res:{ralign 8:1.347442}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edr} = {res:{ralign 8:1.811249}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:quintiles} = {res:{ralign 8:2.98375}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:female} = {res:{ralign 8:.5036741}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edad} = {res:{ralign 8:2.823236}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:urban} = {res:{ralign 8:.7002091}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:soct2r} = {res:{ralign 8:1.781574}} {txt:(mean)}
{lalign 9:129._at: }{space 0}{lalign 16:bgi_dec_fear_c~t} = {res:{ralign 8:8.2}}
{lalign 9:}{space 0}{lalign 16:black} = {res:{ralign 8:.0861167}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:indig} = {res:{ralign 8:.0662997}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:mestizo} = {res:{ralign 8:.5058735}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:otroethn} = {res:{ralign 8:.0174047}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:incum_voter} = {res:{ralign 8:.3593217}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:cp6r} = {res:{ralign 8:1.347442}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edr} = {res:{ralign 8:1.811249}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:quintiles} = {res:{ralign 8:2.98375}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:female} = {res:{ralign 8:.5036741}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edad} = {res:{ralign 8:2.823236}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:urban} = {res:{ralign 8:.7002091}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:soct2r} = {res:{ralign 8:1.781574}} {txt:(mean)}
{lalign 9:130._at: }{space 0}{lalign 16:bgi_dec_fear_c~t} = {res:{ralign 8:8.3}}
{lalign 9:}{space 0}{lalign 16:black} = {res:{ralign 8:.0861167}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:indig} = {res:{ralign 8:.0662997}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:mestizo} = {res:{ralign 8:.5058735}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:otroethn} = {res:{ralign 8:.0174047}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:incum_voter} = {res:{ralign 8:.3593217}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:cp6r} = {res:{ralign 8:1.347442}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edr} = {res:{ralign 8:1.811249}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:quintiles} = {res:{ralign 8:2.98375}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:female} = {res:{ralign 8:.5036741}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edad} = {res:{ralign 8:2.823236}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:urban} = {res:{ralign 8:.7002091}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:soct2r} = {res:{ralign 8:1.781574}} {txt:(mean)}
{lalign 9:131._at: }{space 0}{lalign 16:bgi_dec_fear_c~t} = {res:{ralign 8:8.4}}
{lalign 9:}{space 0}{lalign 16:black} = {res:{ralign 8:.0861167}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:indig} = {res:{ralign 8:.0662997}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:mestizo} = {res:{ralign 8:.5058735}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:otroethn} = {res:{ralign 8:.0174047}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:incum_voter} = {res:{ralign 8:.3593217}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:cp6r} = {res:{ralign 8:1.347442}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edr} = {res:{ralign 8:1.811249}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:quintiles} = {res:{ralign 8:2.98375}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:female} = {res:{ralign 8:.5036741}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edad} = {res:{ralign 8:2.823236}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:urban} = {res:{ralign 8:.7002091}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:soct2r} = {res:{ralign 8:1.781574}} {txt:(mean)}
{lalign 9:132._at: }{space 0}{lalign 16:bgi_dec_fear_c~t} = {res:{ralign 8:8.5}}
{lalign 9:}{space 0}{lalign 16:black} = {res:{ralign 8:.0861167}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:indig} = {res:{ralign 8:.0662997}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:mestizo} = {res:{ralign 8:.5058735}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:otroethn} = {res:{ralign 8:.0174047}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:incum_voter} = {res:{ralign 8:.3593217}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:cp6r} = {res:{ralign 8:1.347442}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edr} = {res:{ralign 8:1.811249}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:quintiles} = {res:{ralign 8:2.98375}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:female} = {res:{ralign 8:.5036741}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edad} = {res:{ralign 8:2.823236}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:urban} = {res:{ralign 8:.7002091}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:soct2r} = {res:{ralign 8:1.781574}} {txt:(mean)}
{lalign 9:133._at: }{space 0}{lalign 16:bgi_dec_fear_c~t} = {res:{ralign 8:8.6}}
{lalign 9:}{space 0}{lalign 16:black} = {res:{ralign 8:.0861167}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:indig} = {res:{ralign 8:.0662997}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:mestizo} = {res:{ralign 8:.5058735}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:otroethn} = {res:{ralign 8:.0174047}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:incum_voter} = {res:{ralign 8:.3593217}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:cp6r} = {res:{ralign 8:1.347442}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edr} = {res:{ralign 8:1.811249}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:quintiles} = {res:{ralign 8:2.98375}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:female} = {res:{ralign 8:.5036741}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edad} = {res:{ralign 8:2.823236}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:urban} = {res:{ralign 8:.7002091}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:soct2r} = {res:{ralign 8:1.781574}} {txt:(mean)}
{lalign 9:134._at: }{space 0}{lalign 16:bgi_dec_fear_c~t} = {res:{ralign 8:8.7}}
{lalign 9:}{space 0}{lalign 16:black} = {res:{ralign 8:.0861167}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:indig} = {res:{ralign 8:.0662997}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:mestizo} = {res:{ralign 8:.5058735}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:otroethn} = {res:{ralign 8:.0174047}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:incum_voter} = {res:{ralign 8:.3593217}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:cp6r} = {res:{ralign 8:1.347442}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edr} = {res:{ralign 8:1.811249}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:quintiles} = {res:{ralign 8:2.98375}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:female} = {res:{ralign 8:.5036741}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edad} = {res:{ralign 8:2.823236}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:urban} = {res:{ralign 8:.7002091}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:soct2r} = {res:{ralign 8:1.781574}} {txt:(mean)}
{lalign 9:135._at: }{space 0}{lalign 16:bgi_dec_fear_c~t} = {res:{ralign 8:8.8}}
{lalign 9:}{space 0}{lalign 16:black} = {res:{ralign 8:.0861167}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:indig} = {res:{ralign 8:.0662997}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:mestizo} = {res:{ralign 8:.5058735}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:otroethn} = {res:{ralign 8:.0174047}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:incum_voter} = {res:{ralign 8:.3593217}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:cp6r} = {res:{ralign 8:1.347442}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edr} = {res:{ralign 8:1.811249}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:quintiles} = {res:{ralign 8:2.98375}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:female} = {res:{ralign 8:.5036741}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edad} = {res:{ralign 8:2.823236}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:urban} = {res:{ralign 8:.7002091}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:soct2r} = {res:{ralign 8:1.781574}} {txt:(mean)}
{lalign 9:136._at: }{space 0}{lalign 16:bgi_dec_fear_c~t} = {res:{ralign 8:8.9}}
{lalign 9:}{space 0}{lalign 16:black} = {res:{ralign 8:.0861167}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:indig} = {res:{ralign 8:.0662997}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:mestizo} = {res:{ralign 8:.5058735}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:otroethn} = {res:{ralign 8:.0174047}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:incum_voter} = {res:{ralign 8:.3593217}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:cp6r} = {res:{ralign 8:1.347442}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edr} = {res:{ralign 8:1.811249}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:quintiles} = {res:{ralign 8:2.98375}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:female} = {res:{ralign 8:.5036741}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edad} = {res:{ralign 8:2.823236}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:urban} = {res:{ralign 8:.7002091}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:soct2r} = {res:{ralign 8:1.781574}} {txt:(mean)}
{lalign 9:137._at: }{space 0}{lalign 16:bgi_dec_fear_c~t} = {res:{ralign 8:9}}
{lalign 9:}{space 0}{lalign 16:black} = {res:{ralign 8:.0861167}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:indig} = {res:{ralign 8:.0662997}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:mestizo} = {res:{ralign 8:.5058735}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:otroethn} = {res:{ralign 8:.0174047}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:incum_voter} = {res:{ralign 8:.3593217}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:cp6r} = {res:{ralign 8:1.347442}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edr} = {res:{ralign 8:1.811249}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:quintiles} = {res:{ralign 8:2.98375}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:female} = {res:{ralign 8:.5036741}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edad} = {res:{ralign 8:2.823236}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:urban} = {res:{ralign 8:.7002091}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:soct2r} = {res:{ralign 8:1.781574}} {txt:(mean)}
{lalign 9:138._at: }{space 0}{lalign 16:bgi_dec_fear_c~t} = {res:{ralign 8:9.1}}
{lalign 9:}{space 0}{lalign 16:black} = {res:{ralign 8:.0861167}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:indig} = {res:{ralign 8:.0662997}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:mestizo} = {res:{ralign 8:.5058735}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:otroethn} = {res:{ralign 8:.0174047}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:incum_voter} = {res:{ralign 8:.3593217}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:cp6r} = {res:{ralign 8:1.347442}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edr} = {res:{ralign 8:1.811249}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:quintiles} = {res:{ralign 8:2.98375}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:female} = {res:{ralign 8:.5036741}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edad} = {res:{ralign 8:2.823236}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:urban} = {res:{ralign 8:.7002091}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:soct2r} = {res:{ralign 8:1.781574}} {txt:(mean)}
{lalign 9:139._at: }{space 0}{lalign 16:bgi_dec_fear_c~t} = {res:{ralign 8:9.2}}
{lalign 9:}{space 0}{lalign 16:black} = {res:{ralign 8:.0861167}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:indig} = {res:{ralign 8:.0662997}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:mestizo} = {res:{ralign 8:.5058735}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:otroethn} = {res:{ralign 8:.0174047}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:incum_voter} = {res:{ralign 8:.3593217}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:cp6r} = {res:{ralign 8:1.347442}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edr} = {res:{ralign 8:1.811249}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:quintiles} = {res:{ralign 8:2.98375}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:female} = {res:{ralign 8:.5036741}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edad} = {res:{ralign 8:2.823236}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:urban} = {res:{ralign 8:.7002091}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:soct2r} = {res:{ralign 8:1.781574}} {txt:(mean)}
{lalign 9:140._at: }{space 0}{lalign 16:bgi_dec_fear_c~t} = {res:{ralign 8:9.3}}
{lalign 9:}{space 0}{lalign 16:black} = {res:{ralign 8:.0861167}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:indig} = {res:{ralign 8:.0662997}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:mestizo} = {res:{ralign 8:.5058735}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:otroethn} = {res:{ralign 8:.0174047}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:incum_voter} = {res:{ralign 8:.3593217}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:cp6r} = {res:{ralign 8:1.347442}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edr} = {res:{ralign 8:1.811249}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:quintiles} = {res:{ralign 8:2.98375}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:female} = {res:{ralign 8:.5036741}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edad} = {res:{ralign 8:2.823236}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:urban} = {res:{ralign 8:.7002091}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:soct2r} = {res:{ralign 8:1.781574}} {txt:(mean)}
{lalign 9:141._at: }{space 0}{lalign 16:bgi_dec_fear_c~t} = {res:{ralign 8:9.4}}
{lalign 9:}{space 0}{lalign 16:black} = {res:{ralign 8:.0861167}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:indig} = {res:{ralign 8:.0662997}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:mestizo} = {res:{ralign 8:.5058735}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:otroethn} = {res:{ralign 8:.0174047}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:incum_voter} = {res:{ralign 8:.3593217}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:cp6r} = {res:{ralign 8:1.347442}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edr} = {res:{ralign 8:1.811249}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:quintiles} = {res:{ralign 8:2.98375}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:female} = {res:{ralign 8:.5036741}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:edad} = {res:{ralign 8:2.823236}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:urban} = {res:{ralign 8:.7002091}} {txt:(mean)}
{lalign 9:}{space 0}{lalign 16:soct2r} = {res:{ralign 8:1.781574}} {txt:(mean)}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}     Margin{col 26}   std. err.{col 38}      z{col 46}   P>|z|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}_at {c |}
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{txt}{space 10}3  {c |}{col 14}{res}{space 2}  6.71041{col 26}{space 2} .1173309{col 37}{space 1}   57.19{col 46}{space 3}0.000{col 54}{space 4} 6.480446{col 67}{space 3} 6.940374
{txt}{space 10}4  {c |}{col 14}{res}{space 2} 6.699241{col 26}{space 2} .1159656{col 37}{space 1}   57.77{col 46}{space 3}0.000{col 54}{space 4} 6.471953{col 67}{space 3}  6.92653
{txt}{space 10}5  {c |}{col 14}{res}{space 2} 6.688072{col 26}{space 2} .1146071{col 37}{space 1}   58.36{col 46}{space 3}0.000{col 54}{space 4} 6.463447{col 67}{space 3} 6.912698
{txt}{space 10}6  {c |}{col 14}{res}{space 2} 6.676903{col 26}{space 2} .1132555{col 37}{space 1}   58.95{col 46}{space 3}0.000{col 54}{space 4} 6.454927{col 67}{space 3}  6.89888
{txt}{space 10}7  {c |}{col 14}{res}{space 2} 6.665735{col 26}{space 2} .1119112{col 37}{space 1}   59.56{col 46}{space 3}0.000{col 54}{space 4} 6.446393{col 67}{space 3} 6.885076
{txt}{space 10}8  {c |}{col 14}{res}{space 2} 6.654566{col 26}{space 2} .1105743{col 37}{space 1}   60.18{col 46}{space 3}0.000{col 54}{space 4} 6.437844{col 67}{space 3} 6.871287
{txt}{space 10}9  {c |}{col 14}{res}{space 2} 6.643397{col 26}{space 2} .1092451{col 37}{space 1}   60.81{col 46}{space 3}0.000{col 54}{space 4}  6.42928{col 67}{space 3} 6.857513
{txt}{space 9}10  {c |}{col 14}{res}{space 2} 6.632228{col 26}{space 2}  .107924{col 37}{space 1}   61.45{col 46}{space 3}0.000{col 54}{space 4} 6.420701{col 67}{space 3} 6.843755
{txt}{space 9}11  {c |}{col 14}{res}{space 2} 6.621059{col 26}{space 2} .1066112{col 37}{space 1}   62.10{col 46}{space 3}0.000{col 54}{space 4} 6.412105{col 67}{space 3} 6.830013
{txt}{space 9}12  {c |}{col 14}{res}{space 2}  6.60989{col 26}{space 2} .1053071{col 37}{space 1}   62.77{col 46}{space 3}0.000{col 54}{space 4} 6.403492{col 67}{space 3} 6.816288
{txt}{space 9}13  {c |}{col 14}{res}{space 2} 6.598721{col 26}{space 2} .1040119{col 37}{space 1}   63.44{col 46}{space 3}0.000{col 54}{space 4} 6.394862{col 67}{space 3} 6.802581
{txt}{space 9}14  {c |}{col 14}{res}{space 2} 6.587552{col 26}{space 2}  .102726{col 37}{space 1}   64.13{col 46}{space 3}0.000{col 54}{space 4} 6.386213{col 67}{space 3} 6.788892
{txt}{space 9}15  {c |}{col 14}{res}{space 2} 6.576384{col 26}{space 2} .1014498{col 37}{space 1}   64.82{col 46}{space 3}0.000{col 54}{space 4} 6.377546{col 67}{space 3} 6.775221
{txt}{space 9}16  {c |}{col 14}{res}{space 2} 6.565215{col 26}{space 2} .1001836{col 37}{space 1}   65.53{col 46}{space 3}0.000{col 54}{space 4} 6.368859{col 67}{space 3} 6.761571
{txt}{space 9}17  {c |}{col 14}{res}{space 2} 6.554046{col 26}{space 2} .0989278{col 37}{space 1}   66.25{col 46}{space 3}0.000{col 54}{space 4} 6.360151{col 67}{space 3} 6.747941
{txt}{space 9}18  {c |}{col 14}{res}{space 2} 6.542877{col 26}{space 2} .0976828{col 37}{space 1}   66.98{col 46}{space 3}0.000{col 54}{space 4} 6.351422{col 67}{space 3} 6.734332
{txt}{space 9}19  {c |}{col 14}{res}{space 2} 6.531708{col 26}{space 2}  .096449{col 37}{space 1}   67.72{col 46}{space 3}0.000{col 54}{space 4} 6.342671{col 67}{space 3} 6.720745
{txt}{space 9}20  {c |}{col 14}{res}{space 2} 6.520539{col 26}{space 2}  .095227{col 37}{space 1}   68.47{col 46}{space 3}0.000{col 54}{space 4} 6.333898{col 67}{space 3} 6.707181
{txt}{space 9}21  {c |}{col 14}{res}{space 2}  6.50937{col 26}{space 2}  .094017{col 37}{space 1}   69.24{col 46}{space 3}0.000{col 54}{space 4}   6.3251{col 67}{space 3}  6.69364
{txt}{space 9}22  {c |}{col 14}{res}{space 2} 6.498201{col 26}{space 2} .0928196{col 37}{space 1}   70.01{col 46}{space 3}0.000{col 54}{space 4} 6.316278{col 67}{space 3} 6.680125
{txt}{space 9}23  {c |}{col 14}{res}{space 2} 6.487033{col 26}{space 2} .0916354{col 37}{space 1}   70.79{col 46}{space 3}0.000{col 54}{space 4} 6.307431{col 67}{space 3} 6.666635
{txt}{space 9}24  {c |}{col 14}{res}{space 2} 6.475864{col 26}{space 2} .0904647{col 37}{space 1}   71.58{col 46}{space 3}0.000{col 54}{space 4} 6.298556{col 67}{space 3} 6.653171
{txt}{space 9}25  {c |}{col 14}{res}{space 2} 6.464695{col 26}{space 2} .0893082{col 37}{space 1}   72.39{col 46}{space 3}0.000{col 54}{space 4} 6.289654{col 67}{space 3} 6.639736
{txt}{space 9}26  {c |}{col 14}{res}{space 2} 6.453526{col 26}{space 2} .0881664{col 37}{space 1}   73.20{col 46}{space 3}0.000{col 54}{space 4} 6.280723{col 67}{space 3} 6.626329
{txt}{space 9}27  {c |}{col 14}{res}{space 2} 6.442357{col 26}{space 2} .0870398{col 37}{space 1}   74.02{col 46}{space 3}0.000{col 54}{space 4} 6.271762{col 67}{space 3} 6.612952
{txt}{space 9}28  {c |}{col 14}{res}{space 2} 6.431188{col 26}{space 2} .0859291{col 37}{space 1}   74.84{col 46}{space 3}0.000{col 54}{space 4}  6.26277{col 67}{space 3} 6.599606
{txt}{space 9}29  {c |}{col 14}{res}{space 2} 6.420019{col 26}{space 2} .0848349{col 37}{space 1}   75.68{col 46}{space 3}0.000{col 54}{space 4} 6.253746{col 67}{space 3} 6.586293
{txt}{space 9}30  {c |}{col 14}{res}{space 2}  6.40885{col 26}{space 2} .0837579{col 37}{space 1}   76.52{col 46}{space 3}0.000{col 54}{space 4} 6.244688{col 67}{space 3} 6.573013
{txt}{space 9}31  {c |}{col 14}{res}{space 2} 6.397681{col 26}{space 2} .0826987{col 37}{space 1}   77.36{col 46}{space 3}0.000{col 54}{space 4} 6.235595{col 67}{space 3} 6.559768
{txt}{space 9}32  {c |}{col 14}{res}{space 2} 6.386513{col 26}{space 2}  .081658{col 37}{space 1}   78.21{col 46}{space 3}0.000{col 54}{space 4} 6.226466{col 67}{space 3} 6.546559
{txt}{space 9}33  {c |}{col 14}{res}{space 2} 6.375344{col 26}{space 2} .0806365{col 37}{space 1}   79.06{col 46}{space 3}0.000{col 54}{space 4} 6.217299{col 67}{space 3} 6.533388
{txt}{space 9}34  {c |}{col 14}{res}{space 2} 6.364175{col 26}{space 2}  .079635{col 37}{space 1}   79.92{col 46}{space 3}0.000{col 54}{space 4} 6.208093{col 67}{space 3} 6.520257
{txt}{space 9}35  {c |}{col 14}{res}{space 2} 6.353006{col 26}{space 2} .0786542{col 37}{space 1}   80.77{col 46}{space 3}0.000{col 54}{space 4} 6.198847{col 67}{space 3} 6.507165
{txt}{space 9}36  {c |}{col 14}{res}{space 2} 6.341837{col 26}{space 2} .0776949{col 37}{space 1}   81.62{col 46}{space 3}0.000{col 54}{space 4} 6.189558{col 67}{space 3} 6.494116
{txt}{space 9}37  {c |}{col 14}{res}{space 2} 6.330668{col 26}{space 2} .0767579{col 37}{space 1}   82.48{col 46}{space 3}0.000{col 54}{space 4} 6.180225{col 67}{space 3} 6.481111
{txt}{space 9}38  {c |}{col 14}{res}{space 2} 6.319499{col 26}{space 2} .0758441{col 37}{space 1}   83.32{col 46}{space 3}0.000{col 54}{space 4} 6.170848{col 67}{space 3} 6.468151
{txt}{space 9}39  {c |}{col 14}{res}{space 2}  6.30833{col 26}{space 2} .0749543{col 37}{space 1}   84.16{col 46}{space 3}0.000{col 54}{space 4} 6.161423{col 67}{space 3} 6.455238
{txt}{space 9}40  {c |}{col 14}{res}{space 2} 6.297162{col 26}{space 2} .0740893{col 37}{space 1}   84.99{col 46}{space 3}0.000{col 54}{space 4} 6.151949{col 67}{space 3} 6.442374
{txt}{space 9}41  {c |}{col 14}{res}{space 2} 6.285993{col 26}{space 2} .0732501{col 37}{space 1}   85.82{col 46}{space 3}0.000{col 54}{space 4} 6.142425{col 67}{space 3}  6.42956
{txt}{space 9}42  {c |}{col 14}{res}{space 2} 6.274824{col 26}{space 2} .0724375{col 37}{space 1}   86.62{col 46}{space 3}0.000{col 54}{space 4} 6.132849{col 67}{space 3} 6.416799
{txt}{space 9}43  {c |}{col 14}{res}{space 2} 6.263655{col 26}{space 2} .0716525{col 37}{space 1}   87.42{col 46}{space 3}0.000{col 54}{space 4} 6.123219{col 67}{space 3} 6.404091
{txt}{space 9}44  {c |}{col 14}{res}{space 2} 6.252486{col 26}{space 2} .0708959{col 37}{space 1}   88.19{col 46}{space 3}0.000{col 54}{space 4} 6.113533{col 67}{space 3} 6.391439
{txt}{space 9}45  {c |}{col 14}{res}{space 2} 6.241317{col 26}{space 2} .0701686{col 37}{space 1}   88.95{col 46}{space 3}0.000{col 54}{space 4} 6.103789{col 67}{space 3} 6.378845
{txt}{space 9}46  {c |}{col 14}{res}{space 2} 6.230148{col 26}{space 2} .0694717{col 37}{space 1}   89.68{col 46}{space 3}0.000{col 54}{space 4} 6.093986{col 67}{space 3}  6.36631
{txt}{space 9}47  {c |}{col 14}{res}{space 2} 6.218979{col 26}{space 2}  .068806{col 37}{space 1}   90.38{col 46}{space 3}0.000{col 54}{space 4} 6.084122{col 67}{space 3} 6.353837
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{txt}{space 9}49  {c |}{col 14}{res}{space 2} 6.196642{col 26}{space 2} .0675719{col 37}{space 1}   91.70{col 46}{space 3}0.000{col 54}{space 4} 6.064203{col 67}{space 3}  6.32908
{txt}{space 9}50  {c |}{col 14}{res}{space 2} 6.185473{col 26}{space 2} .0670053{col 37}{space 1}   92.31{col 46}{space 3}0.000{col 54}{space 4} 6.054145{col 67}{space 3} 6.316801
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{txt}{space 9}52  {c |}{col 14}{res}{space 2} 6.163135{col 26}{space 2} .0659772{col 37}{space 1}   93.41{col 46}{space 3}0.000{col 54}{space 4} 6.033822{col 67}{space 3} 6.292448
{txt}{space 9}53  {c |}{col 14}{res}{space 2} 6.151966{col 26}{space 2} .0655175{col 37}{space 1}   93.90{col 46}{space 3}0.000{col 54}{space 4} 6.023554{col 67}{space 3} 6.280378
{txt}{space 9}54  {c |}{col 14}{res}{space 2} 6.140797{col 26}{space 2} .0650949{col 37}{space 1}   94.34{col 46}{space 3}0.000{col 54}{space 4} 6.013214{col 67}{space 3} 6.268381
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{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. est store bgieffect
{txt}
{com}. marginsplot, ///
>         plotopts(mcolor(none) lcolor(black)) recastci(rarea) ///
>         ciopts(fcolor(gs15) lcolor(gs15)) level(90) ///
>         title("") xtitle("") xlabel(`minbgi'(1.5)`maxbgi') ///
>         xtitle("Between Group Inequality (mean-centered)") ///
>         ytitle("Predicted Support for Democratic Principles") ///
>         graphregion(color(gs15)) scale(1.2)
{res}
{text}{p 0 0 2}Variables that uniquely identify margins: {bf:bgi_dec_fear_cent}{p_end}
{res}{txt}
{com}. graph save "bgiEffectDemprinPoP.gph", replace
{res}{txt}file {bf:bgiEffectDemprinPoP.gph} saved

{com}. graph export "bgiEffectDemprinPoP.pdf", as(pdf) replace
{txt}{p 0 4 2}
file {bf}
bgiEffectDemprinPoP.pdf{rm}
saved as
PDF
format
{p_end}

{com}. 
. // two-way fixed core result holds
. regress demprin_i c.bgi_dec_fear_cent black indig mestizo otroethn incum_voter cp6r edr quintile female edad urban soct2r i.pais i.year [pweight=weight1500], vce(robust)
{txt}(sum of wgt is 84,598.1224795944)

Linear regression                               Number of obs     = {res}    92,362
                                                {txt}F(32, 92329)      =  {res}   291.42
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.0890
                                                {txt}Root MSE          =    {res} 2.0916

{txt}{hline 18}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 19}{c |}{col 31}    Robust
{col 1}        demprin_i{col 19}{c |} Coefficient{col 31}  std. err.{col 43}      t{col 51}   P>|t|{col 59}     [95% con{col 72}f. interval]
{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
bgi_dec_fear_cent {c |}{col 19}{res}{space 2}-.0520072{col 31}{space 2} .0104371{col 42}{space 1}   -4.98{col 51}{space 3}0.000{col 59}{space 4}-.0724639{col 72}{space 3}-.0315505
{txt}{space 12}black {c |}{col 19}{res}{space 2}  .125833{col 31}{space 2}  .030009{col 42}{space 1}    4.19{col 51}{space 3}0.000{col 59}{space 4} .0670157{col 72}{space 3} .1846503
{txt}{space 12}indig {c |}{col 19}{res}{space 2} .1291622{col 31}{space 2} .0341375{col 42}{space 1}    3.78{col 51}{space 3}0.000{col 59}{space 4} .0622531{col 72}{space 3} .1960713
{txt}{space 10}mestizo {c |}{col 19}{res}{space 2} .0952249{col 31}{space 2} .0184618{col 42}{space 1}    5.16{col 51}{space 3}0.000{col 59}{space 4}   .05904{col 72}{space 3} .1314099
{txt}{space 9}otroethn {c |}{col 19}{res}{space 2} .0426318{col 31}{space 2} .0546681{col 42}{space 1}    0.78{col 51}{space 3}0.435{col 59}{space 4}-.0645172{col 72}{space 3} .1497808
{txt}{space 6}incum_voter {c |}{col 19}{res}{space 2} .0903104{col 31}{space 2} .0151419{col 42}{space 1}    5.96{col 51}{space 3}0.000{col 59}{space 4} .0606325{col 72}{space 3} .1199884
{txt}{space 13}cp6r {c |}{col 19}{res}{space 2} .0019833{col 31}{space 2} .0058385{col 42}{space 1}    0.34{col 51}{space 3}0.734{col 59}{space 4}-.0094601{col 72}{space 3} .0134267
{txt}{space 14}edr {c |}{col 19}{res}{space 2} .2636911{col 31}{space 2} .0110493{col 42}{space 1}   23.87{col 51}{space 3}0.000{col 59}{space 4} .2420347{col 72}{space 3} .2853476
{txt}{space 8}quintiles {c |}{col 19}{res}{space 2} .0255664{col 31}{space 2} .0059369{col 42}{space 1}    4.31{col 51}{space 3}0.000{col 59}{space 4} .0139301{col 72}{space 3} .0372027
{txt}{space 11}female {c |}{col 19}{res}{space 2} -.140228{col 31}{space 2}  .014383{col 42}{space 1}   -9.75{col 51}{space 3}0.000{col 59}{space 4}-.1684186{col 72}{space 3}-.1120374
{txt}{space 13}edad {c |}{col 19}{res}{space 2} .0132467{col 31}{space 2} .0050691{col 42}{space 1}    2.61{col 51}{space 3}0.009{col 59}{space 4} .0033113{col 72}{space 3} .0231821
{txt}{space 12}urban {c |}{col 19}{res}{space 2}-.0757796{col 31}{space 2} .0176389{col 42}{space 1}   -4.30{col 51}{space 3}0.000{col 59}{space 4}-.1103518{col 72}{space 3}-.0412075
{txt}{space 11}soct2r {c |}{col 19}{res}{space 2} .0640023{col 31}{space 2} .0102699{col 42}{space 1}    6.23{col 51}{space 3}0.000{col 59}{space 4} .0438734{col 72}{space 3} .0841312
{txt}{space 17} {c |}
{space 13}pais {c |}
{space 15}2  {c |}{col 19}{res}{space 2}-.2373066{col 31}{space 2} .0420035{col 42}{space 1}   -5.65{col 51}{space 3}0.000{col 59}{space 4}-.3196329{col 72}{space 3}-.1549802
{txt}{space 15}3  {c |}{col 19}{res}{space 2}-.5234874{col 31}{space 2} .0917082{col 42}{space 1}   -5.71{col 51}{space 3}0.000{col 59}{space 4}-.7032346{col 72}{space 3}-.3437402
{txt}{space 15}4  {c |}{col 19}{res}{space 2}-1.025508{col 31}{space 2} .0827892{col 42}{space 1}  -12.39{col 51}{space 3}0.000{col 59}{space 4}-1.187774{col 72}{space 3}-.8632418
{txt}{space 15}5  {c |}{col 19}{res}{space 2} .4549241{col 31}{space 2} .0878906{col 42}{space 1}    5.18{col 51}{space 3}0.000{col 59}{space 4} .2826594{col 72}{space 3} .6271887
{txt}{space 15}6  {c |}{col 19}{res}{space 2} .5449347{col 31}{space 2} .0913139{col 42}{space 1}    5.97{col 51}{space 3}0.000{col 59}{space 4} .3659605{col 72}{space 3} .7239089
{txt}{space 15}7  {c |}{col 19}{res}{space 2}-.7576171{col 31}{space 2} .0644423{col 42}{space 1}  -11.76{col 51}{space 3}0.000{col 59}{space 4}-.8839234{col 72}{space 3}-.6313109
{txt}{space 15}8  {c |}{col 19}{res}{space 2}-.2251648{col 31}{space 2} .0667581{col 42}{space 1}   -3.37{col 51}{space 3}0.001{col 59}{space 4}  -.35601{col 72}{space 3}-.0943197
{txt}{space 15}9  {c |}{col 19}{res}{space 2}-.4437774{col 31}{space 2} .0720241{col 42}{space 1}   -6.16{col 51}{space 3}0.000{col 59}{space 4}-.5849439{col 72}{space 3}-.3026109
{txt}{space 14}10  {c |}{col 19}{res}{space 2}-.8344035{col 31}{space 2}  .049972{col 42}{space 1}  -16.70{col 51}{space 3}0.000{col 59}{space 4}-.9323481{col 72}{space 3}-.7364588
{txt}{space 14}11  {c |}{col 19}{res}{space 2}-.3356329{col 31}{space 2} .0384952{col 42}{space 1}   -8.72{col 51}{space 3}0.000{col 59}{space 4}-.4110831{col 72}{space 3}-.2601827
{txt}{space 14}12  {c |}{col 19}{res}{space 2} .4270651{col 31}{space 2}  .094391{col 42}{space 1}    4.52{col 51}{space 3}0.000{col 59}{space 4} .2420597{col 72}{space 3} .6120705
{txt}{space 14}13  {c |}{col 19}{res}{space 2}-.3885984{col 31}{space 2} .0782268{col 42}{space 1}   -4.97{col 51}{space 3}0.000{col 59}{space 4} -.541922{col 72}{space 3}-.2352747
{txt}{space 14}14  {c |}{col 19}{res}{space 2}  .717567{col 31}{space 2} .0828021{col 42}{space 1}    8.67{col 51}{space 3}0.000{col 59}{space 4} .5552758{col 72}{space 3} .8798583
{txt}{space 14}15  {c |}{col 19}{res}{space 2}-.1701107{col 31}{space 2} .0531818{col 42}{space 1}   -3.20{col 51}{space 3}0.001{col 59}{space 4}-.2743465{col 72}{space 3}-.0658749
{txt}{space 14}17  {c |}{col 19}{res}{space 2} .2558087{col 31}{space 2}  .082499{col 42}{space 1}    3.10{col 51}{space 3}0.002{col 59}{space 4} .0941115{col 72}{space 3}  .417506
{txt}{space 14}21  {c |}{col 19}{res}{space 2} .5552932{col 31}{space 2} .0827765{col 42}{space 1}    6.71{col 51}{space 3}0.000{col 59}{space 4}  .393052{col 72}{space 3} .7175344
{txt}{space 17} {c |}
{space 13}year {c |}
{space 12}2008  {c |}{col 19}{res}{space 2} .1085909{col 31}{space 2} .0219785{col 42}{space 1}    4.94{col 51}{space 3}0.000{col 59}{space 4} .0655133{col 72}{space 3} .1516684
{txt}{space 12}2010  {c |}{col 19}{res}{space 2} .0039653{col 31}{space 2} .0215165{col 42}{space 1}    0.18{col 51}{space 3}0.854{col 59}{space 4}-.0382068{col 72}{space 3} .0461375
{txt}{space 12}2012  {c |}{col 19}{res}{space 2}-.1237204{col 31}{space 2} .0228408{col 42}{space 1}   -5.42{col 51}{space 3}0.000{col 59}{space 4}-.1684882{col 72}{space 3}-.0789526
{txt}{space 17} {c |}
{space 12}_cons {c |}{col 19}{res}{space 2} 5.671526{col 31}{space 2} .0636539{col 42}{space 1}   89.10{col 51}{space 3}0.000{col 59}{space 4} 5.546765{col 72}{space 3} 5.796287
{txt}{hline 18}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. estimates store fe3
{txt}
{com}. 
. // add control for gini
. mixed demprin_i c.bgi_dec_fear_cent gini black indig mestizo otroethn incum_voter cp6r edr quintile female edad urban soct2r [pweight=weight1500] || country_year:, cov(independent)
{txt}{p 0 6}note: single-variable random-{txt}effects specification in {inp:country_year} equation; covariance structure set to {inp:identity}.{p_end}
{res}
{txt}Obtaining starting values by EM ...
{res}
{txt}Performing gradient-based optimization: {res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-181885.59}  
Iteration 1:{space 3}log pseudolikelihood = {res:-181885.59}  (backed up)
{res}
{txt}Computing standard errors ...
{res}
{txt}Mixed-effects regression{col 49}Number of obs{col 67}={col 69}{res}    92,362
{txt}Group variable: {res}country_year{col 49}{txt}Number of groups{col 67}={col 69}{res}        61
{txt}{col 49}Obs per group:
{col 63}min{col 67}={col 69}{res}     1,053
{txt}{col 63}avg{col 67}={col 69}{res}   1,514.1
{txt}{col 63}max{col 67}={col 69}{res}     2,822
{col 49}{txt}Wald chi2({res}14{txt}){col 67}={col 70}{res}   382.63
{txt}Log pseudolikelihood = {res}-181885.59{col 49}{txt}Prob > chi2{col 67}={col 73}{res}0.0000

{txt}{ralign 83:(Std. err. adjusted for {res:61} clusters in {res:country_year})}
{hline 18}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 19}{c |}{col 31}    Robust
{col 1}        demprin_i{col 19}{c |} Coefficient{col 31}  std. err.{col 43}      z{col 51}   P>|z|{col 59}     [95% con{col 72}f. interval]
{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
bgi_dec_fear_cent {c |}{col 19}{res}{space 2}-.1014692{col 31}{space 2} .0180001{col 42}{space 1}   -5.64{col 51}{space 3}0.000{col 59}{space 4}-.1367488{col 72}{space 3}-.0661895
{txt}{space 13}gini {c |}{col 19}{res}{space 2}-.0522577{col 31}{space 2} .0239272{col 42}{space 1}   -2.18{col 51}{space 3}0.029{col 59}{space 4}-.0991541{col 72}{space 3}-.0053613
{txt}{space 12}black {c |}{col 19}{res}{space 2} .1027663{col 31}{space 2} .0598549{col 42}{space 1}    1.72{col 51}{space 3}0.086{col 59}{space 4}-.0145472{col 72}{space 3} .2200797
{txt}{space 12}indig {c |}{col 19}{res}{space 2} .1248094{col 31}{space 2} .0559919{col 42}{space 1}    2.23{col 51}{space 3}0.026{col 59}{space 4} .0150673{col 72}{space 3} .2345514
{txt}{space 10}mestizo {c |}{col 19}{res}{space 2} .0952408{col 31}{space 2} .0342646{col 42}{space 1}    2.78{col 51}{space 3}0.005{col 59}{space 4} .0280835{col 72}{space 3} .1623982
{txt}{space 9}otroethn {c |}{col 19}{res}{space 2}  .079884{col 31}{space 2} .0828554{col 42}{space 1}    0.96{col 51}{space 3}0.335{col 59}{space 4}-.0825096{col 72}{space 3} .2422775
{txt}{space 6}incum_voter {c |}{col 19}{res}{space 2} .1034152{col 31}{space 2} .0330014{col 42}{space 1}    3.13{col 51}{space 3}0.002{col 59}{space 4} .0387337{col 72}{space 3} .1680967
{txt}{space 13}cp6r {c |}{col 19}{res}{space 2} .0023719{col 31}{space 2} .0160305{col 42}{space 1}    0.15{col 51}{space 3}0.882{col 59}{space 4}-.0290474{col 72}{space 3} .0337911
{txt}{space 14}edr {c |}{col 19}{res}{space 2} .2498896{col 31}{space 2} .0231907{col 42}{space 1}   10.78{col 51}{space 3}0.000{col 59}{space 4} .2044367{col 72}{space 3} .2953426
{txt}{space 8}quintiles {c |}{col 19}{res}{space 2} .0293843{col 31}{space 2} .0099731{col 42}{space 1}    2.95{col 51}{space 3}0.003{col 59}{space 4} .0098374{col 72}{space 3} .0489311
{txt}{space 11}female {c |}{col 19}{res}{space 2}-.1397399{col 31}{space 2} .0188778{col 42}{space 1}   -7.40{col 51}{space 3}0.000{col 59}{space 4}-.1767397{col 72}{space 3}-.1027401
{txt}{space 13}edad {c |}{col 19}{res}{space 2} .0143116{col 31}{space 2} .0115253{col 42}{space 1}    1.24{col 51}{space 3}0.214{col 59}{space 4}-.0082777{col 72}{space 3} .0369009
{txt}{space 12}urban {c |}{col 19}{res}{space 2}-.0711169{col 31}{space 2} .0292788{col 42}{space 1}   -2.43{col 51}{space 3}0.015{col 59}{space 4}-.1285022{col 72}{space 3}-.0137315
{txt}{space 11}soct2r {c |}{col 19}{res}{space 2} .0557363{col 31}{space 2} .0176226{col 42}{space 1}    3.16{col 51}{space 3}0.002{col 59}{space 4} .0211967{col 72}{space 3}  .090276
{txt}{space 12}_cons {c |}{col 19}{res}{space 2} 7.994622{col 31}{space 2} 1.094486{col 42}{space 1}    7.30{col 51}{space 3}0.000{col 59}{space 4} 5.849469{col 72}{space 3} 10.13977
{txt}{hline 18}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{txt}{hline 29}{c TT}{hline 48}
{col 30}{c |}{col 34}{col 46}Robust{col 63}
{col 3}Random-effects parameters{col 30}{c |}{col 34}Estimate{col 45}std. err.{col 59}[95% conf. interval]
{hline 29}{c +}{hline 48}
{res}country_year{txt}: Identity{col 30}{c |}
{space 18}var(_cons) {c |}{res}{col 33} .2891577{col 44} .0564024{col 58} .1972883{col 70} .4238069
{txt}{hline 29}{c +}{hline 48}
{col 16}var(Residual){col 30}{c |}{res}{col 33} 4.300954{col 44} .1063201{col 58} 4.097538{col 70} 4.514468
{txt}{hline 29}{c BT}{hline 48}

{p 0 9 2}Warning: Sampling weights were 
specified only at the first level 
in a multilevel model. If these weights are 
indicative of overall and not conditional 
inclusion probabilities, then 
{help mixed##sampling:results may be biased}.
{p_end}

{com}. estimates store demPrinBgiGiniModel
{txt}
{com}. // same basic effect
. 
. // Alternate controlling for vdem liberal democraxy
. 
. mixed demprin_i c.bgi_dec_fear_cent v2x_libdem black indig mestizo otroethn incum_voter cp6r edr quintile female edad urban soct2r [pweight=weight1500] || country_year:, cov(independent)
{txt}{p 0 6}note: single-variable random-{txt}effects specification in {inp:country_year} equation; covariance structure set to {inp:identity}.{p_end}
{res}
{txt}Obtaining starting values by EM ...
{res}
{txt}Performing gradient-based optimization: {res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-181886.99}  
Iteration 1:{space 3}log pseudolikelihood = {res:-181886.99}  (backed up)
{res}
{txt}Computing standard errors ...
{res}
{txt}Mixed-effects regression{col 49}Number of obs{col 67}={col 69}{res}    92,362
{txt}Group variable: {res}country_year{col 49}{txt}Number of groups{col 67}={col 69}{res}        61
{txt}{col 49}Obs per group:
{col 63}min{col 67}={col 69}{res}     1,053
{txt}{col 63}avg{col 67}={col 69}{res}   1,514.1
{txt}{col 63}max{col 67}={col 69}{res}     2,822
{col 49}{txt}Wald chi2({res}14{txt}){col 67}={col 70}{res}   389.99
{txt}Log pseudolikelihood = {res}-181886.99{col 49}{txt}Prob > chi2{col 67}={col 73}{res}0.0000

{txt}{ralign 83:(Std. err. adjusted for {res:61} clusters in {res:country_year})}
{hline 18}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 19}{c |}{col 31}    Robust
{col 1}        demprin_i{col 19}{c |} Coefficient{col 31}  std. err.{col 43}      z{col 51}   P>|z|{col 59}     [95% con{col 72}f. interval]
{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
bgi_dec_fear_cent {c |}{col 19}{res}{space 2} -.109634{col 31}{space 2} .0165399{col 42}{space 1}   -6.63{col 51}{space 3}0.000{col 59}{space 4}-.1420516{col 72}{space 3}-.0772164
{txt}{space 7}v2x_libdem {c |}{col 19}{res}{space 2} .5653586{col 31}{space 2} .4191033{col 42}{space 1}    1.35{col 51}{space 3}0.177{col 59}{space 4}-.2560688{col 72}{space 3} 1.386786
{txt}{space 12}black {c |}{col 19}{res}{space 2}  .102227{col 31}{space 2}  .059892{col 42}{space 1}    1.71{col 51}{space 3}0.088{col 59}{space 4}-.0151592{col 72}{space 3} .2196131
{txt}{space 12}indig {c |}{col 19}{res}{space 2} .1256771{col 31}{space 2} .0560581{col 42}{space 1}    2.24{col 51}{space 3}0.025{col 59}{space 4} .0158052{col 72}{space 3}  .235549
{txt}{space 10}mestizo {c |}{col 19}{res}{space 2} .0957745{col 31}{space 2} .0343132{col 42}{space 1}    2.79{col 51}{space 3}0.005{col 59}{space 4} .0285218{col 72}{space 3} .1630272
{txt}{space 9}otroethn {c |}{col 19}{res}{space 2} .0803139{col 31}{space 2} .0827902{col 42}{space 1}    0.97{col 51}{space 3}0.332{col 59}{space 4}-.0819518{col 72}{space 3} .2425796
{txt}{space 6}incum_voter {c |}{col 19}{res}{space 2} .1034557{col 31}{space 2}  .033008{col 42}{space 1}    3.13{col 51}{space 3}0.002{col 59}{space 4} .0387613{col 72}{space 3} .1681501
{txt}{space 13}cp6r {c |}{col 19}{res}{space 2} .0023898{col 31}{space 2}  .016064{col 42}{space 1}    0.15{col 51}{space 3}0.882{col 59}{space 4} -.029095{col 72}{space 3} .0338747
{txt}{space 14}edr {c |}{col 19}{res}{space 2} .2496279{col 31}{space 2} .0231223{col 42}{space 1}   10.80{col 51}{space 3}0.000{col 59}{space 4}  .204309{col 72}{space 3} .2949468
{txt}{space 8}quintiles {c |}{col 19}{res}{space 2} .0294794{col 31}{space 2} .0099718{col 42}{space 1}    2.96{col 51}{space 3}0.003{col 59}{space 4}  .009935{col 72}{space 3} .0490238
{txt}{space 11}female {c |}{col 19}{res}{space 2}-.1397776{col 31}{space 2} .0188815{col 42}{space 1}   -7.40{col 51}{space 3}0.000{col 59}{space 4}-.1767847{col 72}{space 3}-.1027705
{txt}{space 13}edad {c |}{col 19}{res}{space 2} .0142515{col 31}{space 2}  .011524{col 42}{space 1}    1.24{col 51}{space 3}0.216{col 59}{space 4}-.0083351{col 72}{space 3} .0368382
{txt}{space 12}urban {c |}{col 19}{res}{space 2}-.0711387{col 31}{space 2}  .029378{col 42}{space 1}   -2.42{col 51}{space 3}0.015{col 59}{space 4}-.1287186{col 72}{space 3}-.0135588
{txt}{space 11}soct2r {c |}{col 19}{res}{space 2} .0554717{col 31}{space 2}  .017625{col 42}{space 1}    3.15{col 51}{space 3}0.002{col 59}{space 4} .0209274{col 72}{space 3}  .090016
{txt}{space 12}_cons {c |}{col 19}{res}{space 2} 5.249962{col 31}{space 2} .2991349{col 42}{space 1}   17.55{col 51}{space 3}0.000{col 59}{space 4} 4.663668{col 72}{space 3} 5.836255
{txt}{hline 18}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{txt}{hline 29}{c TT}{hline 48}
{col 30}{c |}{col 34}{col 46}Robust{col 63}
{col 3}Random-effects parameters{col 30}{c |}{col 34}Estimate{col 45}std. err.{col 59}[95% conf. interval]
{hline 29}{c +}{hline 48}
{res}country_year{txt}: Identity{col 30}{c |}
{space 18}var(_cons) {c |}{res}{col 33} .3029654{col 44} .0549239{col 58} .2123639{col 70} .4322205
{txt}{hline 29}{c +}{hline 48}
{col 16}var(Residual){col 30}{c |}{res}{col 33} 4.300954{col 44} .1063217{col 58} 4.097535{col 70} 4.514471
{txt}{hline 29}{c BT}{hline 48}

{p 0 9 2}Warning: Sampling weights were 
specified only at the first level 
in a multilevel model. If these weights are 
indicative of overall and not conditional 
inclusion probabilities, then 
{help mixed##sampling:results may be biased}.
{p_end}

{com}. estimates store demPrinBgiLibdemModel
{txt}
{com}. 
. // add control for ethnic fractionalization
. mixed demprin_i c.bgi_dec_fear_cent fe_etfra black indig mestizo otroethn incum_voter cp6r edr quintile female edad urban soct2r [pweight=weight1500] || country_year:, cov(independent)
{txt}{p 0 6}note: single-variable random-{txt}effects specification in {inp:country_year} equation; covariance structure set to {inp:identity}.{p_end}
{res}
{txt}Obtaining starting values by EM ...
{res}
{txt}Performing gradient-based optimization: {res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-181887.97}  
Iteration 1:{space 3}log pseudolikelihood = {res:-181887.97}  (backed up)
{res}
{txt}Computing standard errors ...
{res}
{txt}Mixed-effects regression{col 49}Number of obs{col 67}={col 69}{res}    92,362
{txt}Group variable: {res}country_year{col 49}{txt}Number of groups{col 67}={col 69}{res}        61
{txt}{col 49}Obs per group:
{col 63}min{col 67}={col 69}{res}     1,053
{txt}{col 63}avg{col 67}={col 69}{res}   1,514.1
{txt}{col 63}max{col 67}={col 69}{res}     2,822
{col 49}{txt}Wald chi2({res}14{txt}){col 67}={col 70}{res}   378.04
{txt}Log pseudolikelihood = {res}-181887.97{col 49}{txt}Prob > chi2{col 67}={col 73}{res}0.0000

{txt}{ralign 83:(Std. err. adjusted for {res:61} clusters in {res:country_year})}
{hline 18}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 19}{c |}{col 31}    Robust
{col 1}        demprin_i{col 19}{c |} Coefficient{col 31}  std. err.{col 43}      z{col 51}   P>|z|{col 59}     [95% con{col 72}f. interval]
{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
bgi_dec_fear_cent {c |}{col 19}{res}{space 2}-.0948623{col 31}{space 2} .0230327{col 42}{space 1}   -4.12{col 51}{space 3}0.000{col 59}{space 4}-.1400055{col 72}{space 3}-.0497191
{txt}{space 9}fe_etfra {c |}{col 19}{res}{space 2} -.433568{col 31}{space 2} .6049561{col 42}{space 1}   -0.72{col 51}{space 3}0.474{col 59}{space 4} -1.61926{col 72}{space 3} .7521243
{txt}{space 12}black {c |}{col 19}{res}{space 2} .1022099{col 31}{space 2} .0598248{col 42}{space 1}    1.71{col 51}{space 3}0.088{col 59}{space 4}-.0150446{col 72}{space 3} .2194643
{txt}{space 12}indig {c |}{col 19}{res}{space 2} .1244244{col 31}{space 2} .0561173{col 42}{space 1}    2.22{col 51}{space 3}0.027{col 59}{space 4} .0144364{col 72}{space 3} .2344123
{txt}{space 10}mestizo {c |}{col 19}{res}{space 2} .0947709{col 31}{space 2} .0343011{col 42}{space 1}    2.76{col 51}{space 3}0.006{col 59}{space 4} .0275421{col 72}{space 3} .1619997
{txt}{space 9}otroethn {c |}{col 19}{res}{space 2} .0796703{col 31}{space 2} .0828177{col 42}{space 1}    0.96{col 51}{space 3}0.336{col 59}{space 4}-.0826494{col 72}{space 3}   .24199
{txt}{space 6}incum_voter {c |}{col 19}{res}{space 2} .1034645{col 31}{space 2} .0330147{col 42}{space 1}    3.13{col 51}{space 3}0.002{col 59}{space 4} .0387568{col 72}{space 3} .1681721
{txt}{space 13}cp6r {c |}{col 19}{res}{space 2} .0021737{col 31}{space 2} .0160244{col 42}{space 1}    0.14{col 51}{space 3}0.892{col 59}{space 4}-.0292334{col 72}{space 3} .0335809
{txt}{space 14}edr {c |}{col 19}{res}{space 2} .2501473{col 31}{space 2} .0232065{col 42}{space 1}   10.78{col 51}{space 3}0.000{col 59}{space 4} .2046633{col 72}{space 3} .2956313
{txt}{space 8}quintiles {c |}{col 19}{res}{space 2}  .029252{col 31}{space 2} .0099565{col 42}{space 1}    2.94{col 51}{space 3}0.003{col 59}{space 4} .0097376{col 72}{space 3} .0487664
{txt}{space 11}female {c |}{col 19}{res}{space 2}-.1396766{col 31}{space 2} .0188965{col 42}{space 1}   -7.39{col 51}{space 3}0.000{col 59}{space 4}-.1767131{col 72}{space 3}-.1026402
{txt}{space 13}edad {c |}{col 19}{res}{space 2} .0144292{col 31}{space 2} .0115433{col 42}{space 1}    1.25{col 51}{space 3}0.211{col 59}{space 4}-.0081952{col 72}{space 3} .0370535
{txt}{space 12}urban {c |}{col 19}{res}{space 2}  -.07057{col 31}{space 2} .0293173{col 42}{space 1}   -2.41{col 51}{space 3}0.016{col 59}{space 4}-.1280308{col 72}{space 3}-.0131092
{txt}{space 11}soct2r {c |}{col 19}{res}{space 2} .0558562{col 31}{space 2} .0176466{col 42}{space 1}    3.17{col 51}{space 3}0.002{col 59}{space 4} .0212694{col 72}{space 3}  .090443
{txt}{space 12}_cons {c |}{col 19}{res}{space 2} 5.742434{col 31}{space 2} .3145066{col 42}{space 1}   18.26{col 51}{space 3}0.000{col 59}{space 4} 5.126012{col 72}{space 3} 6.358856
{txt}{hline 18}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{txt}{hline 29}{c TT}{hline 48}
{col 30}{c |}{col 34}{col 46}Robust{col 63}
{col 3}Random-effects parameters{col 30}{c |}{col 34}Estimate{col 45}std. err.{col 59}[95% conf. interval]
{hline 29}{c +}{hline 48}
{res}country_year{txt}: Identity{col 30}{c |}
{space 18}var(_cons) {c |}{res}{col 33}   .31279{col 44} .0682287{col 58} .2039768{col 70} .4796506
{txt}{hline 29}{c +}{hline 48}
{col 16}var(Residual){col 30}{c |}{res}{col 33} 4.300955{col 44} .1063212{col 58} 4.097537{col 70} 4.514471
{txt}{hline 29}{c BT}{hline 48}

{p 0 9 2}Warning: Sampling weights were 
specified only at the first level 
in a multilevel model. If these weights are 
indicative of overall and not conditional 
inclusion probabilities, then 
{help mixed##sampling:results may be biased}.
{p_end}

{com}. estimates store demPrinBgiEFModel
{txt}
{com}. 
. // Alternate no ilevel controls
. mixed demprin_i c.bgi_dec_fear_cent [pweight=weight1500] || country_year:, cov(independent)
{txt}{p 0 6}note: single-variable random-{txt}effects specification in {inp:country_year} equation; covariance structure set to {inp:identity}.{p_end}
{res}
{txt}Obtaining starting values by EM ...
{res}
{txt}Performing gradient-based optimization: {res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-194832.47}  
Iteration 1:{space 3}log pseudolikelihood = {res:-194832.47}  
{res}
{txt}Computing standard errors ...
{res}
{txt}Mixed-effects regression{col 49}Number of obs{col 67}={col 69}{res}    98,727
{txt}Group variable: {res}country_year{col 49}{txt}Number of groups{col 67}={col 69}{res}        61
{txt}{col 49}Obs per group:
{col 63}min{col 67}={col 69}{res}     1,162
{txt}{col 63}avg{col 67}={col 69}{res}   1,618.5
{txt}{col 63}max{col 67}={col 69}{res}     2,965
{col 49}{txt}Wald chi2({res}1{txt}){col 67}={col 70}{res}    43.00
{txt}Log pseudolikelihood = {res}-194832.47{col 49}{txt}Prob > chi2{col 67}={col 73}{res}0.0000

{txt}{ralign 83:(Std. err. adjusted for {res:61} clusters in {res:country_year})}
{hline 18}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 19}{c |}{col 31}    Robust
{col 1}        demprin_i{col 19}{c |} Coefficient{col 31}  std. err.{col 43}      z{col 51}   P>|z|{col 59}     [95% con{col 72}f. interval]
{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
bgi_dec_fear_cent {c |}{col 19}{res}{space 2} -.105789{col 31}{space 2} .0161321{col 42}{space 1}   -6.56{col 51}{space 3}0.000{col 59}{space 4}-.1374073{col 72}{space 3}-.0741707
{txt}{space 12}_cons {c |}{col 19}{res}{space 2} 6.208531{col 31}{space 2} .0683764{col 42}{space 1}   90.80{col 51}{space 3}0.000{col 59}{space 4} 6.074516{col 72}{space 3} 6.342546
{txt}{hline 18}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{txt}{hline 29}{c TT}{hline 48}
{col 30}{c |}{col 34}{col 46}Robust{col 63}
{col 3}Random-effects parameters{col 30}{c |}{col 34}Estimate{col 45}std. err.{col 59}[95% conf. interval]
{hline 29}{c +}{hline 48}
{res}country_year{txt}: Identity{col 30}{c |}
{space 18}var(_cons) {c |}{res}{col 33} .3193034{col 44} .0702314{col 58} .2074819{col 70} .4913906
{txt}{hline 29}{c +}{hline 48}
{col 16}var(Residual){col 30}{c |}{res}{col 33} 4.382062{col 44} .1047399{col 58}  4.18151{col 70} 4.592233
{txt}{hline 29}{c BT}{hline 48}

{p 0 9 2}Warning: Sampling weights were 
specified only at the first level 
in a multilevel model. If these weights are 
indicative of overall and not conditional 
inclusion probabilities, then 
{help mixed##sampling:results may be biased}.
{p_end}

{com}. estimates store demPrinBgiNoIlevelModel
{txt}
{com}. 
. // High Democracy Countries
. 
. mixed demprin_i c.bgi_dec_fear_cent black indig mestizo otroethn incum_voter cp6r edr quintile female edad urban soct2r [pweight=weight1500] if pais==17 | pais==13 | pais==8 | pais==6 | pais==14 || country_year:, cov(independent)
{txt}{p 0 6}note: single-variable random-{txt}effects specification in {inp:country_year} equation; covariance structure set to {inp:identity}.{p_end}
{res}
{txt}Obtaining starting values by EM ...
{res}
{txt}Performing gradient-based optimization: {res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-56418.225}  
Iteration 1:{space 3}log pseudolikelihood = {res:-56418.225}  (backed up)
{res}
{txt}Computing standard errors ...
{res}
{txt}Mixed-effects regression{col 49}Number of obs{col 67}={col 69}{res}    26,528
{txt}Group variable: {res}country_year{col 49}{txt}Number of groups{col 67}={col 69}{res}        19
{txt}{col 49}Obs per group:
{col 63}min{col 67}={col 69}{res}     1,136
{txt}{col 63}avg{col 67}={col 69}{res}   1,396.2
{txt}{col 63}max{col 67}={col 69}{res}     1,872
{col 49}{txt}Wald chi2({res}13{txt}){col 67}={col 70}{res}   319.50
{txt}Log pseudolikelihood = {res}-56418.225{col 49}{txt}Prob > chi2{col 67}={col 73}{res}0.0000

{txt}{ralign 83:(Std. err. adjusted for {res:19} clusters in {res:country_year})}
{hline 18}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 19}{c |}{col 31}    Robust
{col 1}        demprin_i{col 19}{c |} Coefficient{col 31}  std. err.{col 43}      z{col 51}   P>|z|{col 59}     [95% con{col 72}f. interval]
{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
bgi_dec_fear_cent {c |}{col 19}{res}{space 2}-.2849672{col 31}{space 2} .0622364{col 42}{space 1}   -4.58{col 51}{space 3}0.000{col 59}{space 4}-.4069483{col 72}{space 3} -.162986
{txt}{space 12}black {c |}{col 19}{res}{space 2} .0012779{col 31}{space 2} .0572114{col 42}{space 1}    0.02{col 51}{space 3}0.982{col 59}{space 4}-.1108544{col 72}{space 3} .1134103
{txt}{space 12}indig {c |}{col 19}{res}{space 2} .1583458{col 31}{space 2} .1024526{col 42}{space 1}    1.55{col 51}{space 3}0.122{col 59}{space 4}-.0424576{col 72}{space 3} .3591492
{txt}{space 10}mestizo {c |}{col 19}{res}{space 2} .0395049{col 31}{space 2} .0661275{col 42}{space 1}    0.60{col 51}{space 3}0.550{col 59}{space 4}-.0901025{col 72}{space 3} .1691124
{txt}{space 9}otroethn {c |}{col 19}{res}{space 2} .3764542{col 31}{space 2} .1498806{col 42}{space 1}    2.51{col 51}{space 3}0.012{col 59}{space 4} .0826937{col 72}{space 3} .6702147
{txt}{space 6}incum_voter {c |}{col 19}{res}{space 2} .1232496{col 31}{space 2} .0627156{col 42}{space 1}    1.97{col 51}{space 3}0.049{col 59}{space 4} .0003292{col 72}{space 3} .2461699
{txt}{space 13}cp6r {c |}{col 19}{res}{space 2}-.0212174{col 31}{space 2} .0189927{col 42}{space 1}   -1.12{col 51}{space 3}0.264{col 59}{space 4}-.0584423{col 72}{space 3} .0160076
{txt}{space 14}edr {c |}{col 19}{res}{space 2} .3286108{col 31}{space 2}  .042879{col 42}{space 1}    7.66{col 51}{space 3}0.000{col 59}{space 4} .2445695{col 72}{space 3}  .412652
{txt}{space 8}quintiles {c |}{col 19}{res}{space 2} .0664742{col 31}{space 2} .0170168{col 42}{space 1}    3.91{col 51}{space 3}0.000{col 59}{space 4} .0331218{col 72}{space 3} .0998265
{txt}{space 11}female {c |}{col 19}{res}{space 2}-.0961801{col 31}{space 2} .0362662{col 42}{space 1}   -2.65{col 51}{space 3}0.008{col 59}{space 4}-.1672606{col 72}{space 3}-.0250996
{txt}{space 13}edad {c |}{col 19}{res}{space 2} .0093391{col 31}{space 2} .0253183{col 42}{space 1}    0.37{col 51}{space 3}0.712{col 59}{space 4}-.0402838{col 72}{space 3} .0589619
{txt}{space 12}urban {c |}{col 19}{res}{space 2}-.0230367{col 31}{space 2} .0532526{col 42}{space 1}   -0.43{col 51}{space 3}0.665{col 59}{space 4}-.1274098{col 72}{space 3} .0813364
{txt}{space 11}soct2r {c |}{col 19}{res}{space 2} .0948518{col 31}{space 2} .0270846{col 42}{space 1}    3.50{col 51}{space 3}0.000{col 59}{space 4} .0417669{col 72}{space 3} .1479366
{txt}{space 12}_cons {c |}{col 19}{res}{space 2} 4.956135{col 31}{space 2} .3024915{col 42}{space 1}   16.38{col 51}{space 3}0.000{col 59}{space 4} 4.363263{col 72}{space 3} 5.549008
{txt}{hline 18}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{txt}{hline 29}{c TT}{hline 48}
{col 30}{c |}{col 34}{col 46}Robust{col 63}
{col 3}Random-effects parameters{col 30}{c |}{col 34}Estimate{col 45}std. err.{col 59}[95% conf. interval]
{hline 29}{c +}{hline 48}
{res}country_year{txt}: Identity{col 30}{c |}
{space 18}var(_cons) {c |}{res}{col 33} .1876982{col 44} .0596675{col 58} .1006632{col 70} .3499848
{txt}{hline 29}{c +}{hline 48}
{col 16}var(Residual){col 30}{c |}{res}{col 33} 4.226941{col 44} .1699146{col 58} 3.906696{col 70} 4.573438
{txt}{hline 29}{c BT}{hline 48}

{p 0 9 2}Warning: Sampling weights were 
specified only at the first level 
in a multilevel model. If these weights are 
indicative of overall and not conditional 
inclusion probabilities, then 
{help mixed##sampling:results may be biased}.
{p_end}

{com}. estimates store demPrinBgiHighDem
{txt}
{com}. 
. // Model 1b
. mixed demprin_i c.v2pepwrsoc_rev black indig mestizo otroethn incum_voter cp6r edr quintile female edad urban soct2r [pweight=weight1500] || country_year:, cov(independent)
{txt}{p 0 6}note: single-variable random-{txt}effects specification in {inp:country_year} equation; covariance structure set to {inp:identity}.{p_end}
{res}
{txt}Obtaining starting values by EM ...
{res}
{txt}Performing gradient-based optimization: {res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-181897.03}  
Iteration 1:{space 3}log pseudolikelihood = {res:-181897.03}  (backed up)
{res}
{txt}Computing standard errors ...
{res}
{txt}Mixed-effects regression{col 49}Number of obs{col 67}={col 69}{res}    92,362
{txt}Group variable: {res}country_year{col 49}{txt}Number of groups{col 67}={col 69}{res}        61
{txt}{col 49}Obs per group:
{col 63}min{col 67}={col 69}{res}     1,053
{txt}{col 63}avg{col 67}={col 69}{res}   1,514.1
{txt}{col 63}max{col 67}={col 69}{res}     2,822
{col 49}{txt}Wald chi2({res}13{txt}){col 67}={col 70}{res}   251.66
{txt}Log pseudolikelihood = {res}-181897.03{col 49}{txt}Prob > chi2{col 67}={col 73}{res}0.0000

{txt}{ralign 80:(Std. err. adjusted for {res:61} clusters in {res:country_year})}
{hline 15}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 16}{c |}{col 28}    Robust
{col 1}     demprin_i{col 16}{c |} Coefficient{col 28}  std. err.{col 40}      z{col 48}   P>|z|{col 56}     [95% con{col 69}f. interval]
{hline 15}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
v2pepwrsoc_rev {c |}{col 16}{res}{space 2}-.2484183{col 28}{space 2} .0975289{col 39}{space 1}   -2.55{col 48}{space 3}0.011{col 56}{space 4}-.4395715{col 69}{space 3}-.0572651
{txt}{space 9}black {c |}{col 16}{res}{space 2}  .101122{col 28}{space 2} .0599935{col 39}{space 1}    1.69{col 48}{space 3}0.092{col 56}{space 4} -.016463{col 69}{space 3} .2187071
{txt}{space 9}indig {c |}{col 16}{res}{space 2} .1225093{col 28}{space 2}  .055984{col 39}{space 1}    2.19{col 48}{space 3}0.029{col 56}{space 4} .0127827{col 69}{space 3} .2322359
{txt}{space 7}mestizo {c |}{col 16}{res}{space 2} .0944824{col 28}{space 2} .0343038{col 39}{space 1}    2.75{col 48}{space 3}0.006{col 56}{space 4} .0272481{col 69}{space 3} .1617167
{txt}{space 6}otroethn {c |}{col 16}{res}{space 2} .0800345{col 28}{space 2} .0825769{col 39}{space 1}    0.97{col 48}{space 3}0.332{col 56}{space 4}-.0818132{col 69}{space 3} .2418823
{txt}{space 3}incum_voter {c |}{col 16}{res}{space 2} .1035773{col 28}{space 2}  .032999{col 39}{space 1}    3.14{col 48}{space 3}0.002{col 56}{space 4} .0389004{col 69}{space 3} .1682542
{txt}{space 10}cp6r {c |}{col 16}{res}{space 2} .0023855{col 28}{space 2} .0160481{col 39}{space 1}    0.15{col 48}{space 3}0.882{col 56}{space 4}-.0290682{col 69}{space 3} .0338392
{txt}{space 11}edr {c |}{col 16}{res}{space 2} .2495625{col 28}{space 2} .0232074{col 39}{space 1}   10.75{col 48}{space 3}0.000{col 56}{space 4} .2040769{col 69}{space 3} .2950481
{txt}{space 5}quintiles {c |}{col 16}{res}{space 2} .0294384{col 28}{space 2} .0099779{col 39}{space 1}    2.95{col 48}{space 3}0.003{col 56}{space 4} .0098821{col 69}{space 3} .0489948
{txt}{space 8}female {c |}{col 16}{res}{space 2}-.1398267{col 28}{space 2} .0188879{col 39}{space 1}   -7.40{col 48}{space 3}0.000{col 56}{space 4}-.1768463{col 69}{space 3}-.1028071
{txt}{space 10}edad {c |}{col 16}{res}{space 2} .0142138{col 28}{space 2} .0115192{col 39}{space 1}    1.23{col 48}{space 3}0.217{col 56}{space 4}-.0083634{col 69}{space 3}  .036791
{txt}{space 9}urban {c |}{col 16}{res}{space 2}-.0715612{col 28}{space 2} .0293067{col 39}{space 1}   -2.44{col 48}{space 3}0.015{col 56}{space 4}-.1290012{col 69}{space 3}-.0141211
{txt}{space 8}soct2r {c |}{col 16}{res}{space 2} .0552159{col 28}{space 2} .0176138{col 39}{space 1}    3.13{col 48}{space 3}0.002{col 56}{space 4} .0206934{col 69}{space 3} .0897383
{txt}{space 9}_cons {c |}{col 16}{res}{space 2} 5.386538{col 28}{space 2} .1855113{col 39}{space 1}   29.04{col 48}{space 3}0.000{col 56}{space 4} 5.022942{col 69}{space 3} 5.750133
{txt}{hline 15}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{txt}{hline 29}{c TT}{hline 48}
{col 30}{c |}{col 34}{col 46}Robust{col 63}
{col 3}Random-effects parameters{col 30}{c |}{col 34}Estimate{col 45}std. err.{col 59}[95% conf. interval]
{hline 29}{c +}{hline 48}
{res}country_year{txt}: Identity{col 30}{c |}
{space 18}var(_cons) {c |}{res}{col 33} .4221527{col 44} .0734321{col 58} .3001966{col 70}  .593654
{txt}{hline 29}{c +}{hline 48}
{col 16}var(Residual){col 30}{c |}{res}{col 33} 4.300955{col 44} .1063261{col 58} 4.097527{col 70} 4.514481
{txt}{hline 29}{c BT}{hline 48}

{p 0 9 2}Warning: Sampling weights were 
specified only at the first level 
in a multilevel model. If these weights are 
indicative of overall and not conditional 
inclusion probabilities, then 
{help mixed##sampling:results may be biased}.
{p_end}

{com}. estimates store demPrinPolExMainModel
{txt}
{com}. 
. // Chart those effects, predicted values:
. 
. sum v2pepwrsoc_rev

{txt}    Variable {c |}        Obs        Mean    Std. dev.       Min        Max
{hline 13}{c +}{hline 57}
v2pepwrsoc~v {c |}{res}    180,356    -.906596    .7634617     -2.394       .627
{txt}
{com}. local minexcl=round(r(min),.1)
{txt}
{com}. local maxexcl=round(r(max),.1)
{txt}
{com}. estimates restore demPrinPolExMainModel
{txt}(results {stata estimates replay demPrinPolExMainModel:demPrinPolExMainModel} are active now)

{com}. margins, atmeans at(v2pepwrsoc_rev=(`minexcl'(.1)`maxexcl')) post
{res}
{txt}{col 1}Adjusted predictions{col 57}{lalign 13:Number of obs}{col 70} = {res}{ralign 6:92,362}
{txt}{col 1}Model VCE: {res:Robust}

{txt}{p2colset 1 13 13 2}{...}
{p2col:Expression:}{res:Linear prediction, fixed portion, predict()}{p_end}
{p2colreset}{...}
{lalign 8:1._at: }{space 0}{lalign 14:v2pepwrsoc_rev} = {res:{ralign 8:-2.4}}
{lalign 8:}{space 0}{lalign 14:black} = {res:{ralign 8:.0861167}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:indig} = {res:{ralign 8:.0662997}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:mestizo} = {res:{ralign 8:.5058735}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:otroethn} = {res:{ralign 8:.0174047}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:incum_voter} = {res:{ralign 8:.3593217}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:cp6r} = {res:{ralign 8:1.347442}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:edr} = {res:{ralign 8:1.811249}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:quintiles} = {res:{ralign 8:2.98375}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:female} = {res:{ralign 8:.5036741}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:edad} = {res:{ralign 8:2.823236}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:urban} = {res:{ralign 8:.7002091}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:soct2r} = {res:{ralign 8:1.781574}} {txt:(mean)}
{lalign 8:2._at: }{space 0}{lalign 14:v2pepwrsoc_rev} = {res:{ralign 8:-2.3}}
{lalign 8:}{space 0}{lalign 14:black} = {res:{ralign 8:.0861167}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:indig} = {res:{ralign 8:.0662997}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:mestizo} = {res:{ralign 8:.5058735}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:otroethn} = {res:{ralign 8:.0174047}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:incum_voter} = {res:{ralign 8:.3593217}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:cp6r} = {res:{ralign 8:1.347442}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:edr} = {res:{ralign 8:1.811249}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:quintiles} = {res:{ralign 8:2.98375}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:female} = {res:{ralign 8:.5036741}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:edad} = {res:{ralign 8:2.823236}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:urban} = {res:{ralign 8:.7002091}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:soct2r} = {res:{ralign 8:1.781574}} {txt:(mean)}
{lalign 8:3._at: }{space 0}{lalign 14:v2pepwrsoc_rev} = {res:{ralign 8:-2.2}}
{lalign 8:}{space 0}{lalign 14:black} = {res:{ralign 8:.0861167}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:indig} = {res:{ralign 8:.0662997}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:mestizo} = {res:{ralign 8:.5058735}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:otroethn} = {res:{ralign 8:.0174047}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:incum_voter} = {res:{ralign 8:.3593217}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:cp6r} = {res:{ralign 8:1.347442}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:edr} = {res:{ralign 8:1.811249}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:quintiles} = {res:{ralign 8:2.98375}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:female} = {res:{ralign 8:.5036741}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:edad} = {res:{ralign 8:2.823236}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:urban} = {res:{ralign 8:.7002091}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:soct2r} = {res:{ralign 8:1.781574}} {txt:(mean)}
{lalign 8:4._at: }{space 0}{lalign 14:v2pepwrsoc_rev} = {res:{ralign 8:-2.1}}
{lalign 8:}{space 0}{lalign 14:black} = {res:{ralign 8:.0861167}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:indig} = {res:{ralign 8:.0662997}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:mestizo} = {res:{ralign 8:.5058735}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:otroethn} = {res:{ralign 8:.0174047}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:incum_voter} = {res:{ralign 8:.3593217}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:cp6r} = {res:{ralign 8:1.347442}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:edr} = {res:{ralign 8:1.811249}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:quintiles} = {res:{ralign 8:2.98375}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:female} = {res:{ralign 8:.5036741}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:edad} = {res:{ralign 8:2.823236}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:urban} = {res:{ralign 8:.7002091}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:soct2r} = {res:{ralign 8:1.781574}} {txt:(mean)}
{lalign 8:5._at: }{space 0}{lalign 14:v2pepwrsoc_rev} = {res:{ralign 8:-2}}
{lalign 8:}{space 0}{lalign 14:black} = {res:{ralign 8:.0861167}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:indig} = {res:{ralign 8:.0662997}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:mestizo} = {res:{ralign 8:.5058735}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:otroethn} = {res:{ralign 8:.0174047}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:incum_voter} = {res:{ralign 8:.3593217}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:cp6r} = {res:{ralign 8:1.347442}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:edr} = {res:{ralign 8:1.811249}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:quintiles} = {res:{ralign 8:2.98375}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:female} = {res:{ralign 8:.5036741}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:edad} = {res:{ralign 8:2.823236}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:urban} = {res:{ralign 8:.7002091}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:soct2r} = {res:{ralign 8:1.781574}} {txt:(mean)}
{lalign 8:6._at: }{space 0}{lalign 14:v2pepwrsoc_rev} = {res:{ralign 8:-1.9}}
{lalign 8:}{space 0}{lalign 14:black} = {res:{ralign 8:.0861167}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:indig} = {res:{ralign 8:.0662997}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:mestizo} = {res:{ralign 8:.5058735}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:otroethn} = {res:{ralign 8:.0174047}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:incum_voter} = {res:{ralign 8:.3593217}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:cp6r} = {res:{ralign 8:1.347442}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:edr} = {res:{ralign 8:1.811249}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:quintiles} = {res:{ralign 8:2.98375}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:female} = {res:{ralign 8:.5036741}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:edad} = {res:{ralign 8:2.823236}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:urban} = {res:{ralign 8:.7002091}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:soct2r} = {res:{ralign 8:1.781574}} {txt:(mean)}
{lalign 8:7._at: }{space 0}{lalign 14:v2pepwrsoc_rev} = {res:{ralign 8:-1.8}}
{lalign 8:}{space 0}{lalign 14:black} = {res:{ralign 8:.0861167}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:indig} = {res:{ralign 8:.0662997}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:mestizo} = {res:{ralign 8:.5058735}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:otroethn} = {res:{ralign 8:.0174047}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:incum_voter} = {res:{ralign 8:.3593217}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:cp6r} = {res:{ralign 8:1.347442}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:edr} = {res:{ralign 8:1.811249}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:quintiles} = {res:{ralign 8:2.98375}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:female} = {res:{ralign 8:.5036741}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:edad} = {res:{ralign 8:2.823236}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:urban} = {res:{ralign 8:.7002091}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:soct2r} = {res:{ralign 8:1.781574}} {txt:(mean)}
{lalign 8:8._at: }{space 0}{lalign 14:v2pepwrsoc_rev} = {res:{ralign 8:-1.7}}
{lalign 8:}{space 0}{lalign 14:black} = {res:{ralign 8:.0861167}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:indig} = {res:{ralign 8:.0662997}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:mestizo} = {res:{ralign 8:.5058735}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:otroethn} = {res:{ralign 8:.0174047}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:incum_voter} = {res:{ralign 8:.3593217}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:cp6r} = {res:{ralign 8:1.347442}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:edr} = {res:{ralign 8:1.811249}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:quintiles} = {res:{ralign 8:2.98375}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:female} = {res:{ralign 8:.5036741}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:edad} = {res:{ralign 8:2.823236}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:urban} = {res:{ralign 8:.7002091}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:soct2r} = {res:{ralign 8:1.781574}} {txt:(mean)}
{lalign 8:9._at: }{space 0}{lalign 14:v2pepwrsoc_rev} = {res:{ralign 8:-1.6}}
{lalign 8:}{space 0}{lalign 14:black} = {res:{ralign 8:.0861167}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:indig} = {res:{ralign 8:.0662997}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:mestizo} = {res:{ralign 8:.5058735}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:otroethn} = {res:{ralign 8:.0174047}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:incum_voter} = {res:{ralign 8:.3593217}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:cp6r} = {res:{ralign 8:1.347442}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:edr} = {res:{ralign 8:1.811249}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:quintiles} = {res:{ralign 8:2.98375}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:female} = {res:{ralign 8:.5036741}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:edad} = {res:{ralign 8:2.823236}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:urban} = {res:{ralign 8:.7002091}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:soct2r} = {res:{ralign 8:1.781574}} {txt:(mean)}
{lalign 8:10._at: }{space 0}{lalign 14:v2pepwrsoc_rev} = {res:{ralign 8:-1.5}}
{lalign 8:}{space 0}{lalign 14:black} = {res:{ralign 8:.0861167}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:indig} = {res:{ralign 8:.0662997}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:mestizo} = {res:{ralign 8:.5058735}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:otroethn} = {res:{ralign 8:.0174047}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:incum_voter} = {res:{ralign 8:.3593217}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:cp6r} = {res:{ralign 8:1.347442}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:edr} = {res:{ralign 8:1.811249}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:quintiles} = {res:{ralign 8:2.98375}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:female} = {res:{ralign 8:.5036741}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:edad} = {res:{ralign 8:2.823236}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:urban} = {res:{ralign 8:.7002091}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:soct2r} = {res:{ralign 8:1.781574}} {txt:(mean)}
{lalign 8:11._at: }{space 0}{lalign 14:v2pepwrsoc_rev} = {res:{ralign 8:-1.4}}
{lalign 8:}{space 0}{lalign 14:black} = {res:{ralign 8:.0861167}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:indig} = {res:{ralign 8:.0662997}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:mestizo} = {res:{ralign 8:.5058735}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:otroethn} = {res:{ralign 8:.0174047}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:incum_voter} = {res:{ralign 8:.3593217}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:cp6r} = {res:{ralign 8:1.347442}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:edr} = {res:{ralign 8:1.811249}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:quintiles} = {res:{ralign 8:2.98375}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:female} = {res:{ralign 8:.5036741}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:edad} = {res:{ralign 8:2.823236}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:urban} = {res:{ralign 8:.7002091}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:soct2r} = {res:{ralign 8:1.781574}} {txt:(mean)}
{lalign 8:12._at: }{space 0}{lalign 14:v2pepwrsoc_rev} = {res:{ralign 8:-1.3}}
{lalign 8:}{space 0}{lalign 14:black} = {res:{ralign 8:.0861167}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:indig} = {res:{ralign 8:.0662997}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:mestizo} = {res:{ralign 8:.5058735}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:otroethn} = {res:{ralign 8:.0174047}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:incum_voter} = {res:{ralign 8:.3593217}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:cp6r} = {res:{ralign 8:1.347442}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:edr} = {res:{ralign 8:1.811249}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:quintiles} = {res:{ralign 8:2.98375}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:female} = {res:{ralign 8:.5036741}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:edad} = {res:{ralign 8:2.823236}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:urban} = {res:{ralign 8:.7002091}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:soct2r} = {res:{ralign 8:1.781574}} {txt:(mean)}
{lalign 8:13._at: }{space 0}{lalign 14:v2pepwrsoc_rev} = {res:{ralign 8:-1.2}}
{lalign 8:}{space 0}{lalign 14:black} = {res:{ralign 8:.0861167}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:indig} = {res:{ralign 8:.0662997}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:mestizo} = {res:{ralign 8:.5058735}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:otroethn} = {res:{ralign 8:.0174047}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:incum_voter} = {res:{ralign 8:.3593217}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:cp6r} = {res:{ralign 8:1.347442}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:edr} = {res:{ralign 8:1.811249}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:quintiles} = {res:{ralign 8:2.98375}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:female} = {res:{ralign 8:.5036741}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:edad} = {res:{ralign 8:2.823236}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:urban} = {res:{ralign 8:.7002091}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:soct2r} = {res:{ralign 8:1.781574}} {txt:(mean)}
{lalign 8:14._at: }{space 0}{lalign 14:v2pepwrsoc_rev} = {res:{ralign 8:-1.1}}
{lalign 8:}{space 0}{lalign 14:black} = {res:{ralign 8:.0861167}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:indig} = {res:{ralign 8:.0662997}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:mestizo} = {res:{ralign 8:.5058735}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:otroethn} = {res:{ralign 8:.0174047}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:incum_voter} = {res:{ralign 8:.3593217}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:cp6r} = {res:{ralign 8:1.347442}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:edr} = {res:{ralign 8:1.811249}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:quintiles} = {res:{ralign 8:2.98375}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:female} = {res:{ralign 8:.5036741}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:edad} = {res:{ralign 8:2.823236}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:urban} = {res:{ralign 8:.7002091}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:soct2r} = {res:{ralign 8:1.781574}} {txt:(mean)}
{lalign 8:15._at: }{space 0}{lalign 14:v2pepwrsoc_rev} = {res:{ralign 8:-1}}
{lalign 8:}{space 0}{lalign 14:black} = {res:{ralign 8:.0861167}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:indig} = {res:{ralign 8:.0662997}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:mestizo} = {res:{ralign 8:.5058735}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:otroethn} = {res:{ralign 8:.0174047}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:incum_voter} = {res:{ralign 8:.3593217}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:cp6r} = {res:{ralign 8:1.347442}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:edr} = {res:{ralign 8:1.811249}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:quintiles} = {res:{ralign 8:2.98375}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:female} = {res:{ralign 8:.5036741}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:edad} = {res:{ralign 8:2.823236}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:urban} = {res:{ralign 8:.7002091}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:soct2r} = {res:{ralign 8:1.781574}} {txt:(mean)}
{lalign 8:16._at: }{space 0}{lalign 14:v2pepwrsoc_rev} = {res:{ralign 8:-.9}}
{lalign 8:}{space 0}{lalign 14:black} = {res:{ralign 8:.0861167}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:indig} = {res:{ralign 8:.0662997}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:mestizo} = {res:{ralign 8:.5058735}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:otroethn} = {res:{ralign 8:.0174047}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:incum_voter} = {res:{ralign 8:.3593217}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:cp6r} = {res:{ralign 8:1.347442}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:edr} = {res:{ralign 8:1.811249}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:quintiles} = {res:{ralign 8:2.98375}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:female} = {res:{ralign 8:.5036741}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:edad} = {res:{ralign 8:2.823236}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:urban} = {res:{ralign 8:.7002091}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:soct2r} = {res:{ralign 8:1.781574}} {txt:(mean)}
{lalign 8:17._at: }{space 0}{lalign 14:v2pepwrsoc_rev} = {res:{ralign 8:-.8}}
{lalign 8:}{space 0}{lalign 14:black} = {res:{ralign 8:.0861167}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:indig} = {res:{ralign 8:.0662997}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:mestizo} = {res:{ralign 8:.5058735}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:otroethn} = {res:{ralign 8:.0174047}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:incum_voter} = {res:{ralign 8:.3593217}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:cp6r} = {res:{ralign 8:1.347442}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:edr} = {res:{ralign 8:1.811249}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:quintiles} = {res:{ralign 8:2.98375}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:female} = {res:{ralign 8:.5036741}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:edad} = {res:{ralign 8:2.823236}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:urban} = {res:{ralign 8:.7002091}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:soct2r} = {res:{ralign 8:1.781574}} {txt:(mean)}
{lalign 8:18._at: }{space 0}{lalign 14:v2pepwrsoc_rev} = {res:{ralign 8:-.7}}
{lalign 8:}{space 0}{lalign 14:black} = {res:{ralign 8:.0861167}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:indig} = {res:{ralign 8:.0662997}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:mestizo} = {res:{ralign 8:.5058735}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:otroethn} = {res:{ralign 8:.0174047}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:incum_voter} = {res:{ralign 8:.3593217}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:cp6r} = {res:{ralign 8:1.347442}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:edr} = {res:{ralign 8:1.811249}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:quintiles} = {res:{ralign 8:2.98375}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:female} = {res:{ralign 8:.5036741}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:edad} = {res:{ralign 8:2.823236}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:urban} = {res:{ralign 8:.7002091}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:soct2r} = {res:{ralign 8:1.781574}} {txt:(mean)}
{lalign 8:19._at: }{space 0}{lalign 14:v2pepwrsoc_rev} = {res:{ralign 8:-.6}}
{lalign 8:}{space 0}{lalign 14:black} = {res:{ralign 8:.0861167}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:indig} = {res:{ralign 8:.0662997}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:mestizo} = {res:{ralign 8:.5058735}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:otroethn} = {res:{ralign 8:.0174047}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:incum_voter} = {res:{ralign 8:.3593217}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:cp6r} = {res:{ralign 8:1.347442}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:edr} = {res:{ralign 8:1.811249}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:quintiles} = {res:{ralign 8:2.98375}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:female} = {res:{ralign 8:.5036741}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:edad} = {res:{ralign 8:2.823236}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:urban} = {res:{ralign 8:.7002091}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:soct2r} = {res:{ralign 8:1.781574}} {txt:(mean)}
{lalign 8:20._at: }{space 0}{lalign 14:v2pepwrsoc_rev} = {res:{ralign 8:-.5}}
{lalign 8:}{space 0}{lalign 14:black} = {res:{ralign 8:.0861167}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:indig} = {res:{ralign 8:.0662997}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:mestizo} = {res:{ralign 8:.5058735}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:otroethn} = {res:{ralign 8:.0174047}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:incum_voter} = {res:{ralign 8:.3593217}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:cp6r} = {res:{ralign 8:1.347442}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:edr} = {res:{ralign 8:1.811249}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:quintiles} = {res:{ralign 8:2.98375}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:female} = {res:{ralign 8:.5036741}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:edad} = {res:{ralign 8:2.823236}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:urban} = {res:{ralign 8:.7002091}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:soct2r} = {res:{ralign 8:1.781574}} {txt:(mean)}
{lalign 8:21._at: }{space 0}{lalign 14:v2pepwrsoc_rev} = {res:{ralign 8:-.4}}
{lalign 8:}{space 0}{lalign 14:black} = {res:{ralign 8:.0861167}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:indig} = {res:{ralign 8:.0662997}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:mestizo} = {res:{ralign 8:.5058735}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:otroethn} = {res:{ralign 8:.0174047}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:incum_voter} = {res:{ralign 8:.3593217}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:cp6r} = {res:{ralign 8:1.347442}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:edr} = {res:{ralign 8:1.811249}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:quintiles} = {res:{ralign 8:2.98375}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:female} = {res:{ralign 8:.5036741}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:edad} = {res:{ralign 8:2.823236}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:urban} = {res:{ralign 8:.7002091}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:soct2r} = {res:{ralign 8:1.781574}} {txt:(mean)}
{lalign 8:22._at: }{space 0}{lalign 14:v2pepwrsoc_rev} = {res:{ralign 8:-.3}}
{lalign 8:}{space 0}{lalign 14:black} = {res:{ralign 8:.0861167}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:indig} = {res:{ralign 8:.0662997}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:mestizo} = {res:{ralign 8:.5058735}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:otroethn} = {res:{ralign 8:.0174047}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:incum_voter} = {res:{ralign 8:.3593217}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:cp6r} = {res:{ralign 8:1.347442}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:edr} = {res:{ralign 8:1.811249}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:quintiles} = {res:{ralign 8:2.98375}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:female} = {res:{ralign 8:.5036741}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:edad} = {res:{ralign 8:2.823236}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:urban} = {res:{ralign 8:.7002091}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:soct2r} = {res:{ralign 8:1.781574}} {txt:(mean)}
{lalign 8:23._at: }{space 0}{lalign 14:v2pepwrsoc_rev} = {res:{ralign 8:-.2}}
{lalign 8:}{space 0}{lalign 14:black} = {res:{ralign 8:.0861167}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:indig} = {res:{ralign 8:.0662997}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:mestizo} = {res:{ralign 8:.5058735}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:otroethn} = {res:{ralign 8:.0174047}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:incum_voter} = {res:{ralign 8:.3593217}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:cp6r} = {res:{ralign 8:1.347442}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:edr} = {res:{ralign 8:1.811249}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:quintiles} = {res:{ralign 8:2.98375}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:female} = {res:{ralign 8:.5036741}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:edad} = {res:{ralign 8:2.823236}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:urban} = {res:{ralign 8:.7002091}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:soct2r} = {res:{ralign 8:1.781574}} {txt:(mean)}
{lalign 8:24._at: }{space 0}{lalign 14:v2pepwrsoc_rev} = {res:{ralign 8:-.1}}
{lalign 8:}{space 0}{lalign 14:black} = {res:{ralign 8:.0861167}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:indig} = {res:{ralign 8:.0662997}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:mestizo} = {res:{ralign 8:.5058735}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:otroethn} = {res:{ralign 8:.0174047}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:incum_voter} = {res:{ralign 8:.3593217}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:cp6r} = {res:{ralign 8:1.347442}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:edr} = {res:{ralign 8:1.811249}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:quintiles} = {res:{ralign 8:2.98375}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:female} = {res:{ralign 8:.5036741}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:edad} = {res:{ralign 8:2.823236}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:urban} = {res:{ralign 8:.7002091}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:soct2r} = {res:{ralign 8:1.781574}} {txt:(mean)}
{lalign 8:25._at: }{space 0}{lalign 14:v2pepwrsoc_rev} = {res:{ralign 8:0}}
{lalign 8:}{space 0}{lalign 14:black} = {res:{ralign 8:.0861167}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:indig} = {res:{ralign 8:.0662997}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:mestizo} = {res:{ralign 8:.5058735}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:otroethn} = {res:{ralign 8:.0174047}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:incum_voter} = {res:{ralign 8:.3593217}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:cp6r} = {res:{ralign 8:1.347442}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:edr} = {res:{ralign 8:1.811249}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:quintiles} = {res:{ralign 8:2.98375}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:female} = {res:{ralign 8:.5036741}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:edad} = {res:{ralign 8:2.823236}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:urban} = {res:{ralign 8:.7002091}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:soct2r} = {res:{ralign 8:1.781574}} {txt:(mean)}
{lalign 8:26._at: }{space 0}{lalign 14:v2pepwrsoc_rev} = {res:{ralign 8:.1}}
{lalign 8:}{space 0}{lalign 14:black} = {res:{ralign 8:.0861167}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:indig} = {res:{ralign 8:.0662997}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:mestizo} = {res:{ralign 8:.5058735}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:otroethn} = {res:{ralign 8:.0174047}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:incum_voter} = {res:{ralign 8:.3593217}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:cp6r} = {res:{ralign 8:1.347442}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:edr} = {res:{ralign 8:1.811249}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:quintiles} = {res:{ralign 8:2.98375}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:female} = {res:{ralign 8:.5036741}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:edad} = {res:{ralign 8:2.823236}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:urban} = {res:{ralign 8:.7002091}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:soct2r} = {res:{ralign 8:1.781574}} {txt:(mean)}
{lalign 8:27._at: }{space 0}{lalign 14:v2pepwrsoc_rev} = {res:{ralign 8:.2}}
{lalign 8:}{space 0}{lalign 14:black} = {res:{ralign 8:.0861167}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:indig} = {res:{ralign 8:.0662997}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:mestizo} = {res:{ralign 8:.5058735}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:otroethn} = {res:{ralign 8:.0174047}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:incum_voter} = {res:{ralign 8:.3593217}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:cp6r} = {res:{ralign 8:1.347442}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:edr} = {res:{ralign 8:1.811249}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:quintiles} = {res:{ralign 8:2.98375}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:female} = {res:{ralign 8:.5036741}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:edad} = {res:{ralign 8:2.823236}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:urban} = {res:{ralign 8:.7002091}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:soct2r} = {res:{ralign 8:1.781574}} {txt:(mean)}
{lalign 8:28._at: }{space 0}{lalign 14:v2pepwrsoc_rev} = {res:{ralign 8:.3}}
{lalign 8:}{space 0}{lalign 14:black} = {res:{ralign 8:.0861167}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:indig} = {res:{ralign 8:.0662997}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:mestizo} = {res:{ralign 8:.5058735}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:otroethn} = {res:{ralign 8:.0174047}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:incum_voter} = {res:{ralign 8:.3593217}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:cp6r} = {res:{ralign 8:1.347442}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:edr} = {res:{ralign 8:1.811249}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:quintiles} = {res:{ralign 8:2.98375}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:female} = {res:{ralign 8:.5036741}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:edad} = {res:{ralign 8:2.823236}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:urban} = {res:{ralign 8:.7002091}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:soct2r} = {res:{ralign 8:1.781574}} {txt:(mean)}
{lalign 8:29._at: }{space 0}{lalign 14:v2pepwrsoc_rev} = {res:{ralign 8:.4}}
{lalign 8:}{space 0}{lalign 14:black} = {res:{ralign 8:.0861167}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:indig} = {res:{ralign 8:.0662997}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:mestizo} = {res:{ralign 8:.5058735}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:otroethn} = {res:{ralign 8:.0174047}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:incum_voter} = {res:{ralign 8:.3593217}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:cp6r} = {res:{ralign 8:1.347442}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:edr} = {res:{ralign 8:1.811249}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:quintiles} = {res:{ralign 8:2.98375}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:female} = {res:{ralign 8:.5036741}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:edad} = {res:{ralign 8:2.823236}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:urban} = {res:{ralign 8:.7002091}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:soct2r} = {res:{ralign 8:1.781574}} {txt:(mean)}
{lalign 8:30._at: }{space 0}{lalign 14:v2pepwrsoc_rev} = {res:{ralign 8:.5}}
{lalign 8:}{space 0}{lalign 14:black} = {res:{ralign 8:.0861167}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:indig} = {res:{ralign 8:.0662997}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:mestizo} = {res:{ralign 8:.5058735}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:otroethn} = {res:{ralign 8:.0174047}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:incum_voter} = {res:{ralign 8:.3593217}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:cp6r} = {res:{ralign 8:1.347442}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:edr} = {res:{ralign 8:1.811249}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:quintiles} = {res:{ralign 8:2.98375}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:female} = {res:{ralign 8:.5036741}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:edad} = {res:{ralign 8:2.823236}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:urban} = {res:{ralign 8:.7002091}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:soct2r} = {res:{ralign 8:1.781574}} {txt:(mean)}
{lalign 8:31._at: }{space 0}{lalign 14:v2pepwrsoc_rev} = {res:{ralign 8:.6}}
{lalign 8:}{space 0}{lalign 14:black} = {res:{ralign 8:.0861167}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:indig} = {res:{ralign 8:.0662997}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:mestizo} = {res:{ralign 8:.5058735}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:otroethn} = {res:{ralign 8:.0174047}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:incum_voter} = {res:{ralign 8:.3593217}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:cp6r} = {res:{ralign 8:1.347442}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:edr} = {res:{ralign 8:1.811249}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:quintiles} = {res:{ralign 8:2.98375}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:female} = {res:{ralign 8:.5036741}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:edad} = {res:{ralign 8:2.823236}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:urban} = {res:{ralign 8:.7002091}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:soct2r} = {res:{ralign 8:1.781574}} {txt:(mean)}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}     Margin{col 26}   std. err.{col 38}      z{col 46}   P>|z|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}_at {c |}
{space 10}1  {c |}{col 14}{res}{space 2} 6.647015{col 26}{space 2} .1497651{col 37}{space 1}   44.38{col 46}{space 3}0.000{col 54}{space 4} 6.353481{col 67}{space 3} 6.940549
{txt}{space 10}2  {c |}{col 14}{res}{space 2} 6.622173{col 26}{space 2} .1417097{col 37}{space 1}   46.73{col 46}{space 3}0.000{col 54}{space 4} 6.344427{col 67}{space 3} 6.899919
{txt}{space 10}3  {c |}{col 14}{res}{space 2} 6.597331{col 26}{space 2} .1338802{col 37}{space 1}   49.28{col 46}{space 3}0.000{col 54}{space 4} 6.334931{col 67}{space 3} 6.859732
{txt}{space 10}4  {c |}{col 14}{res}{space 2}  6.57249{col 26}{space 2} .1263188{col 37}{space 1}   52.03{col 46}{space 3}0.000{col 54}{space 4} 6.324909{col 67}{space 3}  6.82007
{txt}{space 10}5  {c |}{col 14}{res}{space 2} 6.547648{col 26}{space 2} .1190764{col 37}{space 1}   54.99{col 46}{space 3}0.000{col 54}{space 4} 6.314262{col 67}{space 3} 6.781033
{txt}{space 10}6  {c |}{col 14}{res}{space 2} 6.522806{col 26}{space 2} .1122149{col 37}{space 1}   58.13{col 46}{space 3}0.000{col 54}{space 4} 6.302869{col 67}{space 3} 6.742743
{txt}{space 10}7  {c |}{col 14}{res}{space 2} 6.497964{col 26}{space 2} .1058084{col 37}{space 1}   61.41{col 46}{space 3}0.000{col 54}{space 4} 6.290583{col 67}{space 3} 6.705345
{txt}{space 10}8  {c |}{col 14}{res}{space 2} 6.473122{col 26}{space 2} .0999444{col 37}{space 1}   64.77{col 46}{space 3}0.000{col 54}{space 4} 6.277235{col 67}{space 3}  6.66901
{txt}{space 10}9  {c |}{col 14}{res}{space 2}  6.44828{col 26}{space 2} .0947238{col 37}{space 1}   68.07{col 46}{space 3}0.000{col 54}{space 4} 6.262625{col 67}{space 3} 6.633936
{txt}{space 9}10  {c |}{col 14}{res}{space 2} 6.423439{col 26}{space 2} .0902582{col 37}{space 1}   71.17{col 46}{space 3}0.000{col 54}{space 4} 6.246536{col 67}{space 3} 6.600342
{txt}{space 9}11  {c |}{col 14}{res}{space 2} 6.398597{col 26}{space 2} .0866645{col 37}{space 1}   73.83{col 46}{space 3}0.000{col 54}{space 4} 6.228738{col 67}{space 3} 6.568456
{txt}{space 9}12  {c |}{col 14}{res}{space 2} 6.373755{col 26}{space 2} .0840545{col 37}{space 1}   75.83{col 46}{space 3}0.000{col 54}{space 4} 6.209011{col 67}{space 3} 6.538499
{txt}{space 9}13  {c |}{col 14}{res}{space 2} 6.348913{col 26}{space 2} .0825216{col 37}{space 1}   76.94{col 46}{space 3}0.000{col 54}{space 4} 6.187174{col 67}{space 3} 6.510653
{txt}{space 9}14  {c |}{col 14}{res}{space 2} 6.324071{col 26}{space 2} .0821262{col 37}{space 1}   77.00{col 46}{space 3}0.000{col 54}{space 4} 6.163107{col 67}{space 3} 6.485036
{txt}{space 9}15  {c |}{col 14}{res}{space 2} 6.299229{col 26}{space 2} .0828845{col 37}{space 1}   76.00{col 46}{space 3}0.000{col 54}{space 4} 6.136779{col 67}{space 3}  6.46168
{txt}{space 9}16  {c |}{col 14}{res}{space 2} 6.274388{col 26}{space 2} .0847657{col 37}{space 1}   74.02{col 46}{space 3}0.000{col 54}{space 4}  6.10825{col 67}{space 3} 6.440525
{txt}{space 9}17  {c |}{col 14}{res}{space 2} 6.249546{col 26}{space 2} .0876974{col 37}{space 1}   71.26{col 46}{space 3}0.000{col 54}{space 4} 6.077662{col 67}{space 3}  6.42143
{txt}{space 9}18  {c |}{col 14}{res}{space 2} 6.224704{col 26}{space 2} .0915788{col 37}{space 1}   67.97{col 46}{space 3}0.000{col 54}{space 4} 6.045213{col 67}{space 3} 6.404195
{txt}{space 9}19  {c |}{col 14}{res}{space 2} 6.199862{col 26}{space 2} .0962952{col 37}{space 1}   64.38{col 46}{space 3}0.000{col 54}{space 4} 6.011127{col 67}{space 3} 6.388597
{txt}{space 9}20  {c |}{col 14}{res}{space 2}  6.17502{col 26}{space 2} .1017305{col 37}{space 1}   60.70{col 46}{space 3}0.000{col 54}{space 4} 5.975632{col 67}{space 3} 6.374408
{txt}{space 9}21  {c |}{col 14}{res}{space 2} 6.150178{col 26}{space 2}  .107776{col 37}{space 1}   57.06{col 46}{space 3}0.000{col 54}{space 4} 5.938941{col 67}{space 3} 6.361415
{txt}{space 9}22  {c |}{col 14}{res}{space 2} 6.125337{col 26}{space 2} .1143348{col 37}{space 1}   53.57{col 46}{space 3}0.000{col 54}{space 4} 5.901244{col 67}{space 3} 6.349429
{txt}{space 9}23  {c |}{col 14}{res}{space 2} 6.100495{col 26}{space 2} .1213239{col 37}{space 1}   50.28{col 46}{space 3}0.000{col 54}{space 4} 5.862704{col 67}{space 3} 6.338285
{txt}{space 9}24  {c |}{col 14}{res}{space 2} 6.075653{col 26}{space 2} .1286731{col 37}{space 1}   47.22{col 46}{space 3}0.000{col 54}{space 4} 5.823458{col 67}{space 3} 6.327848
{txt}{space 9}25  {c |}{col 14}{res}{space 2} 6.050811{col 26}{space 2} .1363242{col 37}{space 1}   44.39{col 46}{space 3}0.000{col 54}{space 4} 5.783621{col 67}{space 3} 6.318002
{txt}{space 9}26  {c |}{col 14}{res}{space 2} 6.025969{col 26}{space 2} .1442291{col 37}{space 1}   41.78{col 46}{space 3}0.000{col 54}{space 4} 5.743285{col 67}{space 3} 6.308653
{txt}{space 9}27  {c |}{col 14}{res}{space 2} 6.001127{col 26}{space 2} .1523484{col 37}{space 1}   39.39{col 46}{space 3}0.000{col 54}{space 4}  5.70253{col 67}{space 3} 6.299725
{txt}{space 9}28  {c |}{col 14}{res}{space 2} 5.976286{col 26}{space 2} .1606495{col 37}{space 1}   37.20{col 46}{space 3}0.000{col 54}{space 4} 5.661418{col 67}{space 3} 6.291153
{txt}{space 9}29  {c |}{col 14}{res}{space 2} 5.951444{col 26}{space 2} .1691057{col 37}{space 1}   35.19{col 46}{space 3}0.000{col 54}{space 4} 5.620003{col 67}{space 3} 6.282885
{txt}{space 9}30  {c |}{col 14}{res}{space 2} 5.926602{col 26}{space 2} .1776948{col 37}{space 1}   33.35{col 46}{space 3}0.000{col 54}{space 4} 5.578327{col 67}{space 3} 6.274877
{txt}{space 9}31  {c |}{col 14}{res}{space 2}  5.90176{col 26}{space 2} .1863984{col 37}{space 1}   31.66{col 46}{space 3}0.000{col 54}{space 4} 5.536426{col 67}{space 3} 6.267094
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. est store excleffect
{txt}
{com}. marginsplot, ///
>         plotopts(mcolor(none) lcolor(black)) recastci(rarea) ///
>         ciopts(fcolor(gs15) lcolor(gs15)) level(90) ///
>         title("") xtitle("") xlabel(`minexcl'(.5)`maxexcl') ///
>         xtitle("Political Exclusion") ///
>         ytitle("Predicted Support for Democratic Principles") ///
>         graphregion(color(gs15)) scale(1.2)
{res}
{text}{p 0 0 2}Variables that uniquely identify margins: {bf:v2pepwrsoc_rev}{p_end}
{res}{txt}
{com}. graph save "exclEffectDemprinPoP.gph", replace
{res}{txt}file {bf:exclEffectDemprinPoP.gph} saved

{com}. graph export "exclEffectDemprinPoP.pdf", as(pdf) replace
{txt}{p 0 4 2}
file {bf}
exclEffectDemprinPoP.pdf{rm}
saved as
PDF
format
{p_end}

{com}. 
. // two-way fixed core result holds
. regress demprin_i c.v2pepwrsoc_rev black indig mestizo otroethn incum_voter cp6r edr quintile female edad urban soct2r i.pais i.year [pweight=weight1500], vce(robust)
{txt}(sum of wgt is 84,598.1224795944)

Linear regression                               Number of obs     = {res}    92,362
                                                {txt}F(32, 92329)      =  {res}   293.09
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.0895
                                                {txt}Root MSE          =    {res}  2.091

{txt}{hline 15}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 16}{c |}{col 28}    Robust
{col 1}     demprin_i{col 16}{c |} Coefficient{col 28}  std. err.{col 40}      t{col 48}   P>|t|{col 56}     [95% con{col 69}f. interval]
{hline 15}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
v2pepwrsoc_rev {c |}{col 16}{res}{space 2}-1.306147{col 28}{space 2} .1496479{col 39}{space 1}   -8.73{col 48}{space 3}0.000{col 56}{space 4}-1.599456{col 69}{space 3}-1.012839
{txt}{space 9}black {c |}{col 16}{res}{space 2} .1247003{col 28}{space 2} .0300187{col 39}{space 1}    4.15{col 48}{space 3}0.000{col 56}{space 4} .0658638{col 69}{space 3} .1835367
{txt}{space 9}indig {c |}{col 16}{res}{space 2} .1278928{col 28}{space 2} .0341591{col 39}{space 1}    3.74{col 48}{space 3}0.000{col 56}{space 4} .0609412{col 69}{space 3} .1948444
{txt}{space 7}mestizo {c |}{col 16}{res}{space 2} .0948548{col 28}{space 2} .0184505{col 39}{space 1}    5.14{col 48}{space 3}0.000{col 56}{space 4}  .058692{col 69}{space 3} .1310175
{txt}{space 6}otroethn {c |}{col 16}{res}{space 2} .0331358{col 28}{space 2} .0546921{col 39}{space 1}    0.61{col 48}{space 3}0.545{col 56}{space 4}-.0740601{col 69}{space 3} .1403317
{txt}{space 3}incum_voter {c |}{col 16}{res}{space 2} .0942973{col 28}{space 2} .0151286{col 39}{space 1}    6.23{col 48}{space 3}0.000{col 56}{space 4} .0646454{col 69}{space 3} .1239493
{txt}{space 10}cp6r {c |}{col 16}{res}{space 2} .0012192{col 28}{space 2} .0058395{col 39}{space 1}    0.21{col 48}{space 3}0.835{col 56}{space 4}-.0102262{col 69}{space 3} .0126645
{txt}{space 11}edr {c |}{col 16}{res}{space 2} .2598356{col 28}{space 2}   .01106{col 39}{space 1}   23.49{col 48}{space 3}0.000{col 56}{space 4} .2381582{col 69}{space 3}  .281513
{txt}{space 5}quintiles {c |}{col 16}{res}{space 2} .0263398{col 28}{space 2} .0059371{col 39}{space 1}    4.44{col 48}{space 3}0.000{col 56}{space 4} .0147031{col 69}{space 3} .0379765
{txt}{space 8}female {c |}{col 16}{res}{space 2} -.139622{col 28}{space 2} .0143791{col 39}{space 1}   -9.71{col 48}{space 3}0.000{col 56}{space 4}-.1678049{col 69}{space 3}-.1114392
{txt}{space 10}edad {c |}{col 16}{res}{space 2}  .013211{col 28}{space 2} .0050679{col 39}{space 1}    2.61{col 48}{space 3}0.009{col 56}{space 4} .0032779{col 69}{space 3} .0231441
{txt}{space 9}urban {c |}{col 16}{res}{space 2}-.0755466{col 28}{space 2}  .017636{col 39}{space 1}   -4.28{col 48}{space 3}0.000{col 56}{space 4} -.110113{col 69}{space 3}-.0409802
{txt}{space 8}soct2r {c |}{col 16}{res}{space 2} .0682764{col 28}{space 2} .0102767{col 39}{space 1}    6.64{col 48}{space 3}0.000{col 56}{space 4} .0481342{col 69}{space 3} .0884186
{txt}{space 14} {c |}
{space 10}pais {c |}
{space 12}2  {c |}{col 16}{res}{space 2} 1.720917{col 28}{space 2} .2328804{col 39}{space 1}    7.39{col 48}{space 3}0.000{col 56}{space 4} 1.264474{col 69}{space 3}  2.17736
{txt}{space 12}3  {c |}{col 16}{res}{space 2}-.4937779{col 28}{space 2} .0586198{col 39}{space 1}   -8.42{col 48}{space 3}0.000{col 56}{space 4}-.6086721{col 69}{space 3}-.3788837
{txt}{space 12}4  {c |}{col 16}{res}{space 2} -.352566{col 28}{space 2} .0545272{col 39}{space 1}   -6.47{col 48}{space 3}0.000{col 56}{space 4}-.4594387{col 69}{space 3}-.2456933
{txt}{space 12}5  {c |}{col 16}{res}{space 2} 2.328049{col 28}{space 2} .1743539{col 39}{space 1}   13.35{col 48}{space 3}0.000{col 56}{space 4} 1.986318{col 69}{space 3} 2.669781
{txt}{space 12}6  {c |}{col 16}{res}{space 2}-.8584819{col 28}{space 2} .2111434{col 39}{space 1}   -4.07{col 48}{space 3}0.000{col 56}{space 4}-1.272321{col 69}{space 3}-.4446429
{txt}{space 12}7  {c |}{col 16}{res}{space 2}-.8358124{col 28}{space 2} .0553529{col 39}{space 1}  -15.10{col 48}{space 3}0.000{col 56}{space 4}-.9443035{col 69}{space 3}-.7273212
{txt}{space 12}8  {c |}{col 16}{res}{space 2} 1.038598{col 28}{space 2} .1196336{col 39}{space 1}    8.68{col 48}{space 3}0.000{col 56}{space 4}  .804117{col 69}{space 3} 1.273078
{txt}{space 12}9  {c |}{col 16}{res}{space 2} .0999783{col 28}{space 2}   .07064{col 39}{space 1}    1.42{col 48}{space 3}0.157{col 56}{space 4}-.0384754{col 69}{space 3} .2384319
{txt}{space 11}10  {c |}{col 16}{res}{space 2}-1.019286{col 28}{space 2} .0386308{col 39}{space 1}  -26.39{col 48}{space 3}0.000{col 56}{space 4}-1.095002{col 69}{space 3}-.9435704
{txt}{space 11}11  {c |}{col 16}{res}{space 2} .0053031{col 28}{space 2} .0512428{col 39}{space 1}    0.10{col 48}{space 3}0.918{col 56}{space 4}-.0951323{col 69}{space 3} .1057385
{txt}{space 11}12  {c |}{col 16}{res}{space 2} 1.998915{col 28}{space 2} .1395606{col 39}{space 1}   14.32{col 48}{space 3}0.000{col 56}{space 4} 1.725378{col 69}{space 3} 2.272453
{txt}{space 11}13  {c |}{col 16}{res}{space 2}-.2196342{col 28}{space 2} .0455451{col 39}{space 1}   -4.82{col 48}{space 3}0.000{col 56}{space 4}-.3089021{col 69}{space 3}-.1303664
{txt}{space 11}14  {c |}{col 16}{res}{space 2}-.8524522{col 28}{space 2} .2244245{col 39}{space 1}   -3.80{col 48}{space 3}0.000{col 56}{space 4}-1.292322{col 69}{space 3}-.4125825
{txt}{space 11}15  {c |}{col 16}{res}{space 2}-.8444211{col 28}{space 2}  .103548{col 39}{space 1}   -8.15{col 48}{space 3}0.000{col 56}{space 4}-1.047374{col 69}{space 3} -.641468
{txt}{space 11}17  {c |}{col 16}{res}{space 2}-.5661797{col 28}{space 2} .1411687{col 39}{space 1}   -4.01{col 48}{space 3}0.000{col 56}{space 4}-.8428689{col 69}{space 3}-.2894906
{txt}{space 11}21  {c |}{col 16}{res}{space 2} .5391974{col 28}{space 2} .0574918{col 39}{space 1}    9.38{col 48}{space 3}0.000{col 56}{space 4}  .426514{col 69}{space 3} .6518808
{txt}{space 14} {c |}
{space 10}year {c |}
{space 9}2008  {c |}{col 16}{res}{space 2} .0686927{col 28}{space 2} .0219999{col 39}{space 1}    3.12{col 48}{space 3}0.002{col 56}{space 4} .0255731{col 69}{space 3} .1118123
{txt}{space 9}2010  {c |}{col 16}{res}{space 2}-.0007808{col 28}{space 2} .0215344{col 39}{space 1}   -0.04{col 48}{space 3}0.971{col 56}{space 4}-.0429881{col 69}{space 3} .0414264
{txt}{space 9}2012  {c |}{col 16}{res}{space 2} -.162636{col 28}{space 2} .0222218{col 39}{space 1}   -7.32{col 48}{space 3}0.000{col 56}{space 4}-.2061905{col 69}{space 3}-.1190816
{txt}{space 14} {c |}
{space 9}_cons {c |}{col 16}{res}{space 2}  4.29357{col 28}{space 2} .1416926{col 39}{space 1}   30.30{col 48}{space 3}0.000{col 56}{space 4} 4.015854{col 69}{space 3} 4.571286
{txt}{hline 15}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. estimates store fe4
{txt}
{com}. 
. // with control for democratic history
. mixed demprin_i c.v2pepwrsoc_rev demyear_trans black indig mestizo otroethn incum_voter cp6r edr quintile female edad urban soct2r [pweight=weight1500] || country_year:, cov(independent)
{txt}{p 0 6}note: single-variable random-{txt}effects specification in {inp:country_year} equation; covariance structure set to {inp:identity}.{p_end}
{res}
{txt}Obtaining starting values by EM ...
{res}
{txt}Performing gradient-based optimization: {res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-181896.72}  
Iteration 1:{space 3}log pseudolikelihood = {res:-181896.72}  (backed up)
{res}
{txt}Computing standard errors ...
{res}
{txt}Mixed-effects regression{col 49}Number of obs{col 67}={col 69}{res}    92,362
{txt}Group variable: {res}country_year{col 49}{txt}Number of groups{col 67}={col 69}{res}        61
{txt}{col 49}Obs per group:
{col 63}min{col 67}={col 69}{res}     1,053
{txt}{col 63}avg{col 67}={col 69}{res}   1,514.1
{txt}{col 63}max{col 67}={col 69}{res}     2,822
{col 49}{txt}Wald chi2({res}14{txt}){col 67}={col 70}{res}   274.45
{txt}Log pseudolikelihood = {res}-181896.72{col 49}{txt}Prob > chi2{col 67}={col 73}{res}0.0000

{txt}{ralign 80:(Std. err. adjusted for {res:61} clusters in {res:country_year})}
{hline 15}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 16}{c |}{col 28}    Robust
{col 1}     demprin_i{col 16}{c |} Coefficient{col 28}  std. err.{col 40}      z{col 48}   P>|z|{col 56}     [95% con{col 69}f. interval]
{hline 15}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
v2pepwrsoc_rev {c |}{col 16}{res}{space 2}-.2185459{col 28}{space 2} .1021869{col 39}{space 1}   -2.14{col 48}{space 3}0.032{col 56}{space 4}-.4188285{col 69}{space 3}-.0182632
{txt}{space 1}demyear_trans {c |}{col 16}{res}{space 2} .0048135{col 28}{space 2} .0035647{col 39}{space 1}    1.35{col 48}{space 3}0.177{col 56}{space 4}-.0021731{col 69}{space 3} .0118001
{txt}{space 9}black {c |}{col 16}{res}{space 2} .1011828{col 28}{space 2} .0600055{col 39}{space 1}    1.69{col 48}{space 3}0.092{col 56}{space 4}-.0164258{col 69}{space 3} .2187914
{txt}{space 9}indig {c |}{col 16}{res}{space 2} .1226098{col 28}{space 2} .0559933{col 39}{space 1}    2.19{col 48}{space 3}0.029{col 56}{space 4}  .012865{col 69}{space 3} .2323546
{txt}{space 7}mestizo {c |}{col 16}{res}{space 2} .0945601{col 28}{space 2} .0343252{col 39}{space 1}    2.75{col 48}{space 3}0.006{col 56}{space 4} .0272841{col 69}{space 3} .1618362
{txt}{space 6}otroethn {c |}{col 16}{res}{space 2} .0800316{col 28}{space 2} .0825596{col 39}{space 1}    0.97{col 48}{space 3}0.332{col 56}{space 4}-.0817823{col 69}{space 3} .2418454
{txt}{space 3}incum_voter {c |}{col 16}{res}{space 2} .1035582{col 28}{space 2} .0330059{col 39}{space 1}    3.14{col 48}{space 3}0.002{col 56}{space 4} .0388678{col 69}{space 3} .1682486
{txt}{space 10}cp6r {c |}{col 16}{res}{space 2} .0023625{col 28}{space 2} .0160473{col 39}{space 1}    0.15{col 48}{space 3}0.883{col 56}{space 4}-.0290898{col 69}{space 3} .0338147
{txt}{space 11}edr {c |}{col 16}{res}{space 2} .2495638{col 28}{space 2} .0232032{col 39}{space 1}   10.76{col 48}{space 3}0.000{col 56}{space 4} .2040863{col 69}{space 3} .2950413
{txt}{space 5}quintiles {c |}{col 16}{res}{space 2} .0294381{col 28}{space 2} .0099765{col 39}{space 1}    2.95{col 48}{space 3}0.003{col 56}{space 4} .0098846{col 69}{space 3} .0489916
{txt}{space 8}female {c |}{col 16}{res}{space 2}-.1398107{col 28}{space 2}  .018891{col 39}{space 1}   -7.40{col 48}{space 3}0.000{col 56}{space 4}-.1768365{col 69}{space 3} -.102785
{txt}{space 10}edad {c |}{col 16}{res}{space 2} .0142238{col 28}{space 2} .0115187{col 39}{space 1}    1.23{col 48}{space 3}0.217{col 56}{space 4}-.0083524{col 69}{space 3} .0367999
{txt}{space 9}urban {c |}{col 16}{res}{space 2}-.0715055{col 28}{space 2} .0293282{col 39}{space 1}   -2.44{col 48}{space 3}0.015{col 56}{space 4}-.1289878{col 69}{space 3}-.0140232
{txt}{space 8}soct2r {c |}{col 16}{res}{space 2} .0552113{col 28}{space 2}  .017619{col 39}{space 1}    3.13{col 48}{space 3}0.002{col 56}{space 4} .0206787{col 69}{space 3} .0897439
{txt}{space 9}_cons {c |}{col 16}{res}{space 2} 5.297255{col 28}{space 2} .1999731{col 39}{space 1}   26.49{col 48}{space 3}0.000{col 56}{space 4} 4.905315{col 69}{space 3} 5.689195
{txt}{hline 15}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{txt}{hline 29}{c TT}{hline 48}
{col 30}{c |}{col 34}{col 46}Robust{col 63}
{col 3}Random-effects parameters{col 30}{c |}{col 34}Estimate{col 45}std. err.{col 59}[95% conf. interval]
{hline 29}{c +}{hline 48}
{res}country_year{txt}: Identity{col 30}{c |}
{space 18}var(_cons) {c |}{res}{col 33} .4178662{col 44} .0743209{col 58} .2948792{col 70} .5921481
{txt}{hline 29}{c +}{hline 48}
{col 16}var(Residual){col 30}{c |}{res}{col 33} 4.300955{col 44}  .106326{col 58} 4.097528{col 70} 4.514481
{txt}{hline 29}{c BT}{hline 48}

{p 0 9 2}Warning: Sampling weights were 
specified only at the first level 
in a multilevel model. If these weights are 
indicative of overall and not conditional 
inclusion probabilities, then 
{help mixed##sampling:results may be biased}.
{p_end}

{com}. estimates store demPrinPolExDemHistModel
{txt}
{com}. 
. // Alternate controlling for vdem liberal democracy
. 
. mixed demprin_i c.v2pepwrsoc_rev v2x_libdem black indig mestizo otroethn incum_voter cp6r edr quintile female edad urban soct2r [pweight=weight1500] || country_year:, cov(independent)
{txt}{p 0 6}note: single-variable random-{txt}effects specification in {inp:country_year} equation; covariance structure set to {inp:identity}.{p_end}
{res}
{txt}Obtaining starting values by EM ...
{res}
{txt}Performing gradient-based optimization: {res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-181897.03}  
Iteration 1:{space 3}log pseudolikelihood = {res:-181897.03}  
{res}
{txt}Computing standard errors ...
{res}
{txt}Mixed-effects regression{col 49}Number of obs{col 67}={col 69}{res}    92,362
{txt}Group variable: {res}country_year{col 49}{txt}Number of groups{col 67}={col 69}{res}        61
{txt}{col 49}Obs per group:
{col 63}min{col 67}={col 69}{res}     1,053
{txt}{col 63}avg{col 67}={col 69}{res}   1,514.1
{txt}{col 63}max{col 67}={col 69}{res}     2,822
{col 49}{txt}Wald chi2({res}14{txt}){col 67}={col 70}{res}   252.96
{txt}Log pseudolikelihood = {res}-181897.03{col 49}{txt}Prob > chi2{col 67}={col 73}{res}0.0000

{txt}{ralign 80:(Std. err. adjusted for {res:61} clusters in {res:country_year})}
{hline 15}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 16}{c |}{col 28}    Robust
{col 1}     demprin_i{col 16}{c |} Coefficient{col 28}  std. err.{col 40}      z{col 48}   P>|z|{col 56}     [95% con{col 69}f. interval]
{hline 15}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
v2pepwrsoc_rev {c |}{col 16}{res}{space 2}-.2442268{col 28}{space 2} .1143687{col 39}{space 1}   -2.14{col 48}{space 3}0.033{col 56}{space 4}-.4683852{col 69}{space 3}-.0200683
{txt}{space 4}v2x_libdem {c |}{col 16}{res}{space 2} .0257804{col 28}{space 2} .5815417{col 39}{space 1}    0.04{col 48}{space 3}0.965{col 56}{space 4} -1.11402{col 69}{space 3} 1.165581
{txt}{space 9}black {c |}{col 16}{res}{space 2} .1011308{col 28}{space 2} .0600153{col 39}{space 1}    1.69{col 48}{space 3}0.092{col 56}{space 4} -.016497{col 69}{space 3} .2187586
{txt}{space 9}indig {c |}{col 16}{res}{space 2} .1225115{col 28}{space 2} .0559876{col 39}{space 1}    2.19{col 48}{space 3}0.029{col 56}{space 4} .0127779{col 69}{space 3} .2322452
{txt}{space 7}mestizo {c |}{col 16}{res}{space 2} .0944958{col 28}{space 2} .0343343{col 39}{space 1}    2.75{col 48}{space 3}0.006{col 56}{space 4} .0272018{col 69}{space 3} .1617898
{txt}{space 6}otroethn {c |}{col 16}{res}{space 2} .0800414{col 28}{space 2} .0825739{col 39}{space 1}    0.97{col 48}{space 3}0.332{col 56}{space 4}-.0818005{col 69}{space 3} .2418832
{txt}{space 3}incum_voter {c |}{col 16}{res}{space 2} .1035803{col 28}{space 2} .0330084{col 39}{space 1}    3.14{col 48}{space 3}0.002{col 56}{space 4} .0388851{col 69}{space 3} .1682756
{txt}{space 10}cp6r {c |}{col 16}{res}{space 2} .0023883{col 28}{space 2} .0160635{col 39}{space 1}    0.15{col 48}{space 3}0.882{col 56}{space 4}-.0290956{col 69}{space 3} .0338722
{txt}{space 11}edr {c |}{col 16}{res}{space 2} .2495539{col 28}{space 2} .0231741{col 39}{space 1}   10.77{col 48}{space 3}0.000{col 56}{space 4} .2041334{col 69}{space 3} .2949743
{txt}{space 5}quintiles {c |}{col 16}{res}{space 2} .0294416{col 28}{space 2} .0099698{col 39}{space 1}    2.95{col 48}{space 3}0.003{col 56}{space 4} .0099013{col 69}{space 3}  .048982
{txt}{space 8}female {c |}{col 16}{res}{space 2}-.1398282{col 28}{space 2} .0188847{col 39}{space 1}   -7.40{col 48}{space 3}0.000{col 56}{space 4}-.1768416{col 69}{space 3}-.1028148
{txt}{space 10}edad {c |}{col 16}{res}{space 2}  .014211{col 28}{space 2} .0115132{col 39}{space 1}    1.23{col 48}{space 3}0.217{col 56}{space 4}-.0083544{col 69}{space 3} .0367764
{txt}{space 9}urban {c |}{col 16}{res}{space 2}-.0715681{col 28}{space 2} .0293469{col 39}{space 1}   -2.44{col 48}{space 3}0.015{col 56}{space 4}-.1290869{col 69}{space 3}-.0140493
{txt}{space 8}soct2r {c |}{col 16}{res}{space 2}   .05521{col 28}{space 2} .0176175{col 39}{space 1}    3.13{col 48}{space 3}0.002{col 56}{space 4} .0206803{col 69}{space 3} .0897397
{txt}{space 9}_cons {c |}{col 16}{res}{space 2} 5.376582{col 28}{space 2} .3479131{col 39}{space 1}   15.45{col 48}{space 3}0.000{col 56}{space 4} 4.694685{col 69}{space 3} 6.058479
{txt}{hline 15}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{txt}{hline 29}{c TT}{hline 48}
{col 30}{c |}{col 34}{col 46}Robust{col 63}
{col 3}Random-effects parameters{col 30}{c |}{col 34}Estimate{col 45}std. err.{col 59}[95% conf. interval]
{hline 29}{c +}{hline 48}
{res}country_year{txt}: Identity{col 30}{c |}
{space 18}var(_cons) {c |}{res}{col 33} .4221408{col 44} .0732845{col 58} .3003911{col 70} .5932361
{txt}{hline 29}{c +}{hline 48}
{col 16}var(Residual){col 30}{c |}{res}{col 33} 4.300955{col 44} .1063261{col 58} 4.097527{col 70} 4.514481
{txt}{hline 29}{c BT}{hline 48}

{p 0 9 2}Warning: Sampling weights were 
specified only at the first level 
in a multilevel model. If these weights are 
indicative of overall and not conditional 
inclusion probabilities, then 
{help mixed##sampling:results may be biased}.
{p_end}

{com}. estimates store demPrinPolExLibdemModel
{txt}
{com}. 
. // with control for ethnic fractionalization
. mixed demprin_i c.v2pepwrsoc_rev fe_etfra black indig mestizo otroethn incum_voter cp6r edr quintile female edad urban soct2r [pweight=weight1500] || country_year:, cov(independent)
{txt}{p 0 6}note: single-variable random-{txt}effects specification in {inp:country_year} equation; covariance structure set to {inp:identity}.{p_end}
{res}
{txt}Obtaining starting values by EM ...
{res}
{txt}Performing gradient-based optimization: {res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-181891.41}  
Iteration 1:{space 3}log pseudolikelihood = {res:-181891.41}  
{res}
{txt}Computing standard errors ...
{res}
{txt}Mixed-effects regression{col 49}Number of obs{col 67}={col 69}{res}    92,362
{txt}Group variable: {res}country_year{col 49}{txt}Number of groups{col 67}={col 69}{res}        61
{txt}{col 49}Obs per group:
{col 63}min{col 67}={col 69}{res}     1,053
{txt}{col 63}avg{col 67}={col 69}{res}   1,514.1
{txt}{col 63}max{col 67}={col 69}{res}     2,822
{col 49}{txt}Wald chi2({res}14{txt}){col 67}={col 70}{res}   309.85
{txt}Log pseudolikelihood = {res}-181891.41{col 49}{txt}Prob > chi2{col 67}={col 73}{res}0.0000

{txt}{ralign 80:(Std. err. adjusted for {res:61} clusters in {res:country_year})}
{hline 15}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 16}{c |}{col 28}    Robust
{col 1}     demprin_i{col 16}{c |} Coefficient{col 28}  std. err.{col 40}      z{col 48}   P>|z|{col 56}     [95% con{col 69}f. interval]
{hline 15}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
v2pepwrsoc_rev {c |}{col 16}{res}{space 2}-.1372461{col 28}{space 2} .0984244{col 39}{space 1}   -1.39{col 48}{space 3}0.163{col 56}{space 4}-.3301544{col 69}{space 3} .0556621
{txt}{space 6}fe_etfra {c |}{col 16}{res}{space 2}-1.553275{col 28}{space 2} .5165493{col 39}{space 1}   -3.01{col 48}{space 3}0.003{col 56}{space 4}-2.565694{col 69}{space 3}-.5408573
{txt}{space 9}black {c |}{col 16}{res}{space 2} .1023983{col 28}{space 2} .0598459{col 39}{space 1}    1.71{col 48}{space 3}0.087{col 56}{space 4}-.0148974{col 69}{space 3}  .219694
{txt}{space 9}indig {c |}{col 16}{res}{space 2} .1232359{col 28}{space 2} .0559142{col 39}{space 1}    2.20{col 48}{space 3}0.028{col 56}{space 4} .0136461{col 69}{space 3} .2328257
{txt}{space 7}mestizo {c |}{col 16}{res}{space 2} .0948163{col 28}{space 2}  .034216{col 39}{space 1}    2.77{col 48}{space 3}0.006{col 56}{space 4} .0277541{col 69}{space 3} .1618784
{txt}{space 6}otroethn {c |}{col 16}{res}{space 2} .0795669{col 28}{space 2} .0827008{col 39}{space 1}    0.96{col 48}{space 3}0.336{col 56}{space 4}-.0825238{col 69}{space 3} .2416575
{txt}{space 3}incum_voter {c |}{col 16}{res}{space 2} .1035862{col 28}{space 2} .0329875{col 39}{space 1}    3.14{col 48}{space 3}0.002{col 56}{space 4} .0389319{col 69}{space 3} .1682404
{txt}{space 10}cp6r {c |}{col 16}{res}{space 2} .0022785{col 28}{space 2} .0160515{col 39}{space 1}    0.14{col 48}{space 3}0.887{col 56}{space 4}-.0291819{col 69}{space 3} .0337388
{txt}{space 11}edr {c |}{col 16}{res}{space 2} .2501997{col 28}{space 2} .0231415{col 39}{space 1}   10.81{col 48}{space 3}0.000{col 56}{space 4} .2048432{col 69}{space 3} .2955561
{txt}{space 5}quintiles {c |}{col 16}{res}{space 2} .0292384{col 28}{space 2} .0099703{col 39}{space 1}    2.93{col 48}{space 3}0.003{col 56}{space 4} .0096969{col 69}{space 3} .0487799
{txt}{space 8}female {c |}{col 16}{res}{space 2}-.1397237{col 28}{space 2}  .018884{col 39}{space 1}   -7.40{col 48}{space 3}0.000{col 56}{space 4}-.1767357{col 69}{space 3}-.1027116
{txt}{space 10}edad {c |}{col 16}{res}{space 2} .0143581{col 28}{space 2} .0115097{col 39}{space 1}    1.25{col 48}{space 3}0.212{col 56}{space 4}-.0082005{col 69}{space 3} .0369168
{txt}{space 9}urban {c |}{col 16}{res}{space 2}-.0708792{col 28}{space 2} .0293322{col 39}{space 1}   -2.42{col 48}{space 3}0.016{col 56}{space 4}-.1283692{col 69}{space 3}-.0133891
{txt}{space 8}soct2r {c |}{col 16}{res}{space 2} .0556362{col 28}{space 2}  .017611{col 39}{space 1}    3.16{col 48}{space 3}0.002{col 56}{space 4} .0211193{col 69}{space 3}  .090153
{txt}{space 9}_cons {c |}{col 16}{res}{space 2} 6.137162{col 28}{space 2} .3591211{col 39}{space 1}   17.09{col 48}{space 3}0.000{col 56}{space 4} 5.433298{col 69}{space 3} 6.841027
{txt}{hline 15}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{txt}{hline 29}{c TT}{hline 48}
{col 30}{c |}{col 34}{col 46}Robust{col 63}
{col 3}Random-effects parameters{col 30}{c |}{col 34}Estimate{col 45}std. err.{col 59}[95% conf. interval]
{hline 29}{c +}{hline 48}
{res}country_year{txt}: Identity{col 30}{c |}
{space 18}var(_cons) {c |}{res}{col 33} .3506261{col 44} .0768239{col 58} .2282138{col 70} .5386996
{txt}{hline 29}{c +}{hline 48}
{col 16}var(Residual){col 30}{c |}{res}{col 33} 4.300955{col 44} .1063198{col 58} 4.097539{col 70} 4.514468
{txt}{hline 29}{c BT}{hline 48}

{p 0 9 2}Warning: Sampling weights were 
specified only at the first level 
in a multilevel model. If these weights are 
indicative of overall and not conditional 
inclusion probabilities, then 
{help mixed##sampling:results may be biased}.
{p_end}

{com}. estimates store demPrinPolExEFModel
{txt}
{com}. 
. // Alternate no ilevel controls
. mixed demprin_i c.v2pepwrsoc_rev [pweight=weight1500] || country_year:, cov(independent)
{txt}{p 0 6}note: single-variable random-{txt}effects specification in {inp:country_year} equation; covariance structure set to {inp:identity}.{p_end}
{res}
{txt}Obtaining starting values by EM ...
{res}
{txt}Performing gradient-based optimization: {res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res: -204350.9}  
Iteration 1:{space 3}log pseudolikelihood = {res: -204350.9}  
{res}
{txt}Computing standard errors ...
{res}
{txt}Mixed-effects regression{col 49}Number of obs{col 67}={col 69}{res}   104,013
{txt}Group variable: {res}country_year{col 49}{txt}Number of groups{col 67}={col 69}{res}        64
{txt}{col 49}Obs per group:
{col 63}min{col 67}={col 69}{res}     1,151
{txt}{col 63}avg{col 67}={col 69}{res}   1,625.2
{txt}{col 63}max{col 67}={col 69}{res}     2,965
{col 49}{txt}Wald chi2({res}1{txt}){col 67}={col 70}{res}     4.09
{txt}Log pseudolikelihood = {res} -204350.9{col 49}{txt}Prob > chi2{col 67}={col 73}{res}0.0432

{txt}{ralign 80:(Std. err. adjusted for {res:64} clusters in {res:country_year})}
{hline 15}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 16}{c |}{col 28}    Robust
{col 1}     demprin_i{col 16}{c |} Coefficient{col 28}  std. err.{col 40}      z{col 48}   P>|z|{col 56}     [95% con{col 69}f. interval]
{hline 15}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
v2pepwrsoc_rev {c |}{col 16}{res}{space 2}-.2008093{col 28}{space 2} .0993174{col 39}{space 1}   -2.02{col 48}{space 3}0.043{col 56}{space 4}-.3954679{col 69}{space 3}-.0061507
{txt}{space 9}_cons {c |}{col 16}{res}{space 2} 6.073806{col 28}{space 2} .1326825{col 39}{space 1}   45.78{col 48}{space 3}0.000{col 56}{space 4} 5.813753{col 69}{space 3} 6.333859
{txt}{hline 15}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{txt}{hline 29}{c TT}{hline 48}
{col 30}{c |}{col 34}{col 46}Robust{col 63}
{col 3}Random-effects parameters{col 30}{c |}{col 34}Estimate{col 45}std. err.{col 59}[95% conf. interval]
{hline 29}{c +}{hline 48}
{res}country_year{txt}: Identity{col 30}{c |}
{space 18}var(_cons) {c |}{res}{col 33} .4255534{col 44} .0701915{col 58} .3080033{col 70} .5879667
{txt}{hline 29}{c +}{hline 48}
{col 16}var(Residual){col 30}{c |}{res}{col 33} 4.376785{col 44} .0999419{col 58} 4.185222{col 70} 4.577117
{txt}{hline 29}{c BT}{hline 48}

{p 0 9 2}Warning: Sampling weights were 
specified only at the first level 
in a multilevel model. If these weights are 
indicative of overall and not conditional 
inclusion probabilities, then 
{help mixed##sampling:results may be biased}.
{p_end}

{com}. estimates store demPrinPolExNoIlevelModel
{txt}
{com}. 
. // High Democracy Countries
. 
. mixed demprin_i c.v2pepwrsoc_rev black indig mestizo otroethn incum_voter cp6r edr quintile female edad urban soct2r [pweight=weight1500] if pais==17 | pais==13 | pais==8 | pais==6 | pais==14 || country_year:, cov(independent)
{txt}{p 0 6}note: single-variable random-{txt}effects specification in {inp:country_year} equation; covariance structure set to {inp:identity}.{p_end}
{res}
{txt}Obtaining starting values by EM ...
{res}
{txt}Performing gradient-based optimization: {res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-56411.162}  
Iteration 1:{space 3}log pseudolikelihood = {res:-56411.162}  
{res}
{txt}Computing standard errors ...
{res}
{txt}Mixed-effects regression{col 49}Number of obs{col 67}={col 69}{res}    26,528
{txt}Group variable: {res}country_year{col 49}{txt}Number of groups{col 67}={col 69}{res}        19
{txt}{col 49}Obs per group:
{col 63}min{col 67}={col 69}{res}     1,136
{txt}{col 63}avg{col 67}={col 69}{res}   1,396.2
{txt}{col 63}max{col 67}={col 69}{res}     1,872
{col 49}{txt}Wald chi2({res}13{txt}){col 67}={col 70}{res}   581.23
{txt}Log pseudolikelihood = {res}-56411.162{col 49}{txt}Prob > chi2{col 67}={col 73}{res}0.0000

{txt}{ralign 80:(Std. err. adjusted for {res:19} clusters in {res:country_year})}
{hline 15}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 16}{c |}{col 28}    Robust
{col 1}     demprin_i{col 16}{c |} Coefficient{col 28}  std. err.{col 40}      z{col 48}   P>|z|{col 56}     [95% con{col 69}f. interval]
{hline 15}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
v2pepwrsoc_rev {c |}{col 16}{res}{space 2}-.4980662{col 28}{space 2}  .067159{col 39}{space 1}   -7.42{col 48}{space 3}0.000{col 56}{space 4}-.6296953{col 69}{space 3}-.3664371
{txt}{space 9}black {c |}{col 16}{res}{space 2} .0062107{col 28}{space 2} .0569907{col 39}{space 1}    0.11{col 48}{space 3}0.913{col 56}{space 4} -.105489{col 69}{space 3} .1179104
{txt}{space 9}indig {c |}{col 16}{res}{space 2} .1609956{col 28}{space 2}  .102305{col 39}{space 1}    1.57{col 48}{space 3}0.116{col 56}{space 4}-.0395186{col 69}{space 3} .3615098
{txt}{space 7}mestizo {c |}{col 16}{res}{space 2} .0421859{col 28}{space 2} .0662947{col 39}{space 1}    0.64{col 48}{space 3}0.525{col 56}{space 4}-.0877493{col 69}{space 3} .1721212
{txt}{space 6}otroethn {c |}{col 16}{res}{space 2} .3789921{col 28}{space 2} .1499302{col 39}{space 1}    2.53{col 48}{space 3}0.011{col 56}{space 4} .0851343{col 69}{space 3} .6728499
{txt}{space 3}incum_voter {c |}{col 16}{res}{space 2} .1233281{col 28}{space 2} .0624656{col 39}{space 1}    1.97{col 48}{space 3}0.048{col 56}{space 4} .0008979{col 69}{space 3} .2457584
{txt}{space 10}cp6r {c |}{col 16}{res}{space 2}-.0199104{col 28}{space 2} .0190192{col 39}{space 1}   -1.05{col 48}{space 3}0.295{col 56}{space 4}-.0571873{col 69}{space 3} .0173665
{txt}{space 11}edr {c |}{col 16}{res}{space 2} .3282261{col 28}{space 2} .0427005{col 39}{space 1}    7.69{col 48}{space 3}0.000{col 56}{space 4} .2445346{col 69}{space 3} .4119175
{txt}{space 5}quintiles {c |}{col 16}{res}{space 2} .0668326{col 28}{space 2} .0169599{col 39}{space 1}    3.94{col 48}{space 3}0.000{col 56}{space 4} .0335917{col 69}{space 3} .1000734
{txt}{space 8}female {c |}{col 16}{res}{space 2}-.0966879{col 28}{space 2} .0362692{col 39}{space 1}   -2.67{col 48}{space 3}0.008{col 56}{space 4}-.1677743{col 69}{space 3}-.0256015
{txt}{space 10}edad {c |}{col 16}{res}{space 2}  .008688{col 28}{space 2} .0253129{col 39}{space 1}    0.34{col 48}{space 3}0.731{col 56}{space 4}-.0409245{col 69}{space 3} .0583004
{txt}{space 9}urban {c |}{col 16}{res}{space 2}-.0250274{col 28}{space 2} .0535092{col 39}{space 1}   -0.47{col 48}{space 3}0.640{col 56}{space 4}-.1299035{col 69}{space 3} .0798487
{txt}{space 8}soct2r {c |}{col 16}{res}{space 2} .0942691{col 28}{space 2} .0269004{col 39}{space 1}    3.50{col 48}{space 3}0.000{col 56}{space 4} .0415453{col 69}{space 3} .1469929
{txt}{space 9}_cons {c |}{col 16}{res}{space 2} 4.893921{col 28}{space 2} .2291314{col 39}{space 1}   21.36{col 48}{space 3}0.000{col 56}{space 4} 4.444831{col 69}{space 3}  5.34301
{txt}{hline 15}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{txt}{hline 29}{c TT}{hline 48}
{col 30}{c |}{col 34}{col 46}Robust{col 63}
{col 3}Random-effects parameters{col 30}{c |}{col 34}Estimate{col 45}std. err.{col 59}[95% conf. interval]
{hline 29}{c +}{hline 48}
{res}country_year{txt}: Identity{col 30}{c |}
{space 18}var(_cons) {c |}{res}{col 33} .0875605{col 44} .0222944{col 58} .0531591{col 70} .1442245
{txt}{hline 29}{c +}{hline 48}
{col 16}var(Residual){col 30}{c |}{res}{col 33} 4.226944{col 44} .1698585{col 58}   3.9068{col 70} 4.573322
{txt}{hline 29}{c BT}{hline 48}

{p 0 9 2}Warning: Sampling weights were 
specified only at the first level 
in a multilevel model. If these weights are 
indicative of overall and not conditional 
inclusion probabilities, then 
{help mixed##sampling:results may be biased}.
{p_end}

{com}. estimates store demPrinPolExHighDem
{txt}
{com}. 
. // Both explanations together
. mixed demprin_i c.bgi_dec_fear_cent c.v2pepwrsoc_rev black indig mestizo otroethn incum_voter cp6r edr quintile female edad urban soct2r [pweight=weight1500] || country_year:, cov(independent)
{txt}{p 0 6}note: single-variable random-{txt}effects specification in {inp:country_year} equation; covariance structure set to {inp:identity}.{p_end}
{res}
{txt}Obtaining starting values by EM ...
{res}
{txt}Performing gradient-based optimization: {res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res: -181887.4}  
Iteration 1:{space 3}log pseudolikelihood = {res: -181887.4}  
{res}
{txt}Computing standard errors ...
{res}
{txt}Mixed-effects regression{col 49}Number of obs{col 67}={col 69}{res}    92,362
{txt}Group variable: {res}country_year{col 49}{txt}Number of groups{col 67}={col 69}{res}        61
{txt}{col 49}Obs per group:
{col 63}min{col 67}={col 69}{res}     1,053
{txt}{col 63}avg{col 67}={col 69}{res}   1,514.1
{txt}{col 63}max{col 67}={col 69}{res}     2,822
{col 49}{txt}Wald chi2({res}14{txt}){col 67}={col 70}{res}   380.46
{txt}Log pseudolikelihood = {res} -181887.4{col 49}{txt}Prob > chi2{col 67}={col 73}{res}0.0000

{txt}{ralign 83:(Std. err. adjusted for {res:61} clusters in {res:country_year})}
{hline 18}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 19}{c |}{col 31}    Robust
{col 1}        demprin_i{col 19}{c |} Coefficient{col 31}  std. err.{col 43}      z{col 51}   P>|z|{col 59}     [95% con{col 72}f. interval]
{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
bgi_dec_fear_cent {c |}{col 19}{res}{space 2}-.1033045{col 31}{space 2} .0192711{col 42}{space 1}   -5.36{col 51}{space 3}0.000{col 59}{space 4}-.1410752{col 72}{space 3}-.0655338
{txt}{space 3}v2pepwrsoc_rev {c |}{col 19}{res}{space 2}-.1194353{col 31}{space 2} .0869284{col 42}{space 1}   -1.37{col 51}{space 3}0.169{col 59}{space 4}-.2898119{col 72}{space 3} .0509413
{txt}{space 12}black {c |}{col 19}{res}{space 2} .1019054{col 31}{space 2} .0598669{col 42}{space 1}    1.70{col 51}{space 3}0.089{col 59}{space 4}-.0154315{col 72}{space 3} .2192423
{txt}{space 12}indig {c |}{col 19}{res}{space 2} .1256019{col 31}{space 2} .0560318{col 42}{space 1}    2.24{col 51}{space 3}0.025{col 59}{space 4} .0157816{col 72}{space 3} .2354221
{txt}{space 10}mestizo {c |}{col 19}{res}{space 2} .0954316{col 31}{space 2} .0342723{col 42}{space 1}    2.78{col 51}{space 3}0.005{col 59}{space 4}  .028259{col 72}{space 3} .1626041
{txt}{space 9}otroethn {c |}{col 19}{res}{space 2} .0801645{col 31}{space 2} .0827751{col 42}{space 1}    0.97{col 51}{space 3}0.333{col 59}{space 4}-.0820718{col 72}{space 3} .2424008
{txt}{space 6}incum_voter {c |}{col 19}{res}{space 2} .1033652{col 31}{space 2} .0329958{col 42}{space 1}    3.13{col 51}{space 3}0.002{col 59}{space 4} .0386946{col 72}{space 3} .1680358
{txt}{space 13}cp6r {c |}{col 19}{res}{space 2}  .002336{col 31}{space 2}  .016043{col 42}{space 1}    0.15{col 51}{space 3}0.884{col 59}{space 4}-.0291078{col 72}{space 3} .0337797
{txt}{space 14}edr {c |}{col 19}{res}{space 2} .2498426{col 31}{space 2} .0231635{col 42}{space 1}   10.79{col 51}{space 3}0.000{col 59}{space 4} .2044431{col 72}{space 3} .2952422
{txt}{space 8}quintiles {c |}{col 19}{res}{space 2} .0294035{col 31}{space 2} .0099913{col 42}{space 1}    2.94{col 51}{space 3}0.003{col 59}{space 4}  .009821{col 72}{space 3}  .048986
{txt}{space 11}female {c |}{col 19}{res}{space 2}-.1397473{col 31}{space 2} .0188849{col 42}{space 1}   -7.40{col 51}{space 3}0.000{col 59}{space 4} -.176761{col 72}{space 3}-.1027337
{txt}{space 13}edad {c |}{col 19}{res}{space 2} .0143125{col 31}{space 2} .0115359{col 42}{space 1}    1.24{col 51}{space 3}0.215{col 59}{space 4}-.0082975{col 72}{space 3} .0369225
{txt}{space 12}urban {c |}{col 19}{res}{space 2}-.0710294{col 31}{space 2} .0293065{col 42}{space 1}   -2.42{col 51}{space 3}0.015{col 59}{space 4}-.1284691{col 72}{space 3}-.0135896
{txt}{space 11}soct2r {c |}{col 19}{res}{space 2} .0555853{col 31}{space 2} .0176167{col 42}{space 1}    3.16{col 51}{space 3}0.002{col 59}{space 4} .0210572{col 72}{space 3} .0901133
{txt}{space 12}_cons {c |}{col 19}{res}{space 2} 5.446385{col 31}{space 2} .1681125{col 42}{space 1}   32.40{col 51}{space 3}0.000{col 59}{space 4}  5.11689{col 72}{space 3} 5.775879
{txt}{hline 18}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{txt}{hline 29}{c TT}{hline 48}
{col 30}{c |}{col 34}{col 46}Robust{col 63}
{col 3}Random-effects parameters{col 30}{c |}{col 34}Estimate{col 45}std. err.{col 59}[95% conf. interval]
{hline 29}{c +}{hline 48}
{res}country_year{txt}: Identity{col 30}{c |}
{space 18}var(_cons) {c |}{res}{col 33} .3070752{col 44} .0610102{col 58} .2080302{col 70} .4532762
{txt}{hline 29}{c +}{hline 48}
{col 16}var(Residual){col 30}{c |}{res}{col 33} 4.300954{col 44} .1063221{col 58} 4.097534{col 70} 4.514472
{txt}{hline 29}{c BT}{hline 48}

{p 0 9 2}Warning: Sampling weights were 
specified only at the first level 
in a multilevel model. If these weights are 
indicative of overall and not conditional 
inclusion probabilities, then 
{help mixed##sampling:results may be biased}.
{p_end}

{com}. estimates store demPrinBothModel
{txt}
{com}. 
. // Create table for core results
. 
. esttab demBestBgiMainModel demBestPolExMainModel demPrinBgiMainModel demPrinPolExMainModel using "table1PoP.txt", replace tex b(3) se(3) r2(3) label alignment(.) nomtitles numbers nogaps compress title("Multi-Level Models of Democratic Attitudes")
{res}{txt}(output written to {browse  `"table1PoP.txt"'})

{com}. 
. // Appendix table for added alternative explanation contextual controls
. 
. esttab demBestBgiGiniModel demBestPolExDemHistModel demPrinBgiGiniModel demPrinPolExDemHistModel using "tableGiniDemHistPoP.txt", replace tex b(3) se(3) r2(3) label alignment(.) nomtitles numbers nogaps compress title("Assessing Robustness to General Inequality and Democratic History")
{res}{txt}(output written to {browse  `"tableGiniDemHistPoP.txt"'})

{com}. 
. // Appendix table for adding ethnic fractionalization
. 
. esttab demBestBgiEFModel demBestPolExEFModel demPrinBgiEFModel demPrinPolExEFModel using "tableEFPoP.txt", replace tex b(3) se(3) r2(3) label alignment(.) nomtitles numbers nogaps compress title("Assessing Robustness to Ethnic Fractionalization")
{res}{txt}(output written to {browse  `"tableEFPoP.txt"'})

{com}. 
. // Appendix table for no ilevel controls
. 
. esttab demBestBgiNoIlevelModel demBestPolExNoIlevelModel demPrinBgiNoIlevelModel demPrinPolExNoIlevelModel using "tableNoIlevelPoP.txt", replace tex b(3) se(3) r2(3) label alignment(.) nomtitles numbers nogaps compress title("Assessing Robustness to Removal of Individual Level Controls")
{res}{txt}(output written to {browse  `"tableNoIlevelPoP.txt"'})

{com}. 
. // Appendix tables for libdem control
. 
. esttab demBestBgiLibdemModel demBestPolExLibdemModel demPrinBgiLibdemModel demPrinPolExLibdemModel using "tableDemLevel.txt", replace tex b(3) se(3) r2(3) label alignment(.) nomtitles numbers nogaps compress title("Assessing Robustness to Inclusion of Liberal Democracy Score")
{res}{txt}(output written to {browse  `"tableDemLevel.txt"'})

{com}. 
. // Appendix table for fixed effects model
. esttab fe1 fe2 fe3 fe4 using "tableFEPoP.txt", replace tex b(3) se(3) r2(3) label alignment(.) nomtitles numbers nogaps compress title("Two-Way Fixed Effects Models")
{res}{txt}(output written to {browse  `"tableFEPoP.txt"'})

{com}. 
. // Appendix table for model including both types of exclusion at once
. esttab demBestBothMainModel demPrinBothModel using "tableBothPoP.txt", replace tex b(3) se(3) r2(3) label alignment(.) nomtitles numbers nogaps compress title("Alternate Specification Including BGI and Political Exclusion")
{res}{txt}(output written to {browse  `"tableBothPoP.txt"'})

{com}. 
. 
. // Code for bar charts, comparative
. 
. replace country="DR" if country=="Rep Dom"
{txt}(0 real changes made)

{com}. replace country="Brazil" if country=="Brasil"
{txt}(0 real changes made)

{com}. 
. graph hbar (mean) ing4 [pweight=weight1500], over(country, sort((mean) ing4) descending) ///
>         ytitle("Support for Democracy as Best Form of Government", xoffset(-5)) ///
>         intensity(25) nofill xsize(2) ysize(3) ///
>         ylabel(1(1)7) exclude0  ///
>         note("Source: Authors' Calculations based on AmericasBarometers surveys", xoffset(-17) yoffset(-2))
{res}{txt}
{com}. graph save meansDemBestPoP.gph, replace
{res}{txt}file {bf:meansDemBestPoP.gph} saved

{com}. graph export meansDemBestPoP.pdf, as(pdf) replace
{txt}{p 0 4 2}
file {bf}
meansDemBestPoP.pdf{rm}
saved as
PDF
format
{p_end}

{com}. 
. graph hbar (mean) demprin_i [pweight=weight1500], over(country, sort((mean) demprin_i) descending) ///
>         ytitle("Support for Democratic Principles", xoffset(-5)) ///
>         intensity(25) nofill xsize(2) ysize(3) ///
>         ylabel(0(1)9)  ///
>         note("Source: Authors' Calculations based on AmericasBarometers surveys", xoffset(-17) yoffset(-2))
{res}{txt}
{com}. graph save meansDemPrinPoP.gph, replace
{res}{txt}file {bf:meansDemPrinPoP.gph} saved

{com}. graph export meansDemPrinPoP.pdf, as(pdf) replace
{txt}{p 0 4 2}
file {bf}
meansDemPrinPoP.pdf{rm}
saved as
PDF
format
{p_end}

{com}. 
. graph hbar (mean) bgi_dec_fear_cent [pweight=weight1500] if year==2016, over(country, sort((mean) bgi_dec_fear_cent) descending) ///
>         ytitle("Support for Democracy as Best Form of Government", xoffset(-5)) ///
>         intensity(25) nofill xsize(2) ysize(3) ///
>         ylabel(1(1)7) exclude0  ///
>         note("Source: Authors' Calculations based on AmericasBarometers surveys", xoffset(-17) yoffset(-2))
{res}{txt}
{com}. 
. 
. // Exploring the group conciousness angle
. 
. 
. *First, do black Rs have more group consciousness than indig Rs? Yes.
. 
. use "PoPilevelData.dta", clear
{txt}
{com}. gen groupvar=.
{txt}(180,356 missing values generated)

{com}. replace groupvar=1 if indig==1
{txt}(13,217 real changes made)

{com}. replace groupvar=2 if black==1
{txt}(14,674 real changes made)

{com}. label define groupvar 1 "Indigenous" 2 "Black"
{txt}
{com}. label values groupvar groupvar
{txt}
{com}. ttest groupCon if indig==1 | black==1, by(groupvar)

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. err.{col 47}Std. dev.{col 59}[95% conf. interval]
{hline 9}{c +}{hline 68}
Indigeno {c |}{res}{col 12}  1,762{col 22} .5085131{col 34} .0119132{col 46} .5000694{col 58} .4851476{col 70} .5318785
   {txt}Black {c |}{res}{col 12}  2,836{col 22} .7221439{col 34} .0084129{col 46} .4480211{col 58} .7056479{col 70} .7386399
{txt}{hline 9}{c +}{hline 68}
Combined {c |}{res}{col 12}  4,598{col 22} .6402784{col 34} .0070783{col 46} .4799709{col 58} .6264015{col 70} .6541553
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22}-.2136308{col 34} .0142159{col 58}-.2415008{col 70}-.1857608
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}Indigeno{txt}) - mean({res}Black{txt})                           t = {res}-15.0276
{txt}H0: diff = 0                                     Degrees of freedom = {res}    4596

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.0000         {txt}Pr(|T| > |t|) = {res}0.0000          {txt}Pr(T > t) = {res}1.0000
{txt}
{com}. drop groupvar
{txt}
{com}. 
. *Next, how does group consciousness interact with BGI and political exclusion:
. mixed ing4 c.bgi_dec_fear_cent##(c.lowGC c.groupCon) otroethn mestizo incum_voter cp6r edr quintile female urban [pweight=weight1500] || country_year: lowGC groupCon, cov(independent)
{res}
{txt}Obtaining starting values by EM ...
{res}
{txt}Performing gradient-based optimization: {res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res: -35031.83}  
Iteration 1:{space 3}log pseudolikelihood = {res: -35031.09}  
Iteration 2:{space 3}log pseudolikelihood = {res:-35031.087}  
{res}
{txt}Computing standard errors ...
{res}
{txt}Mixed-effects regression{col 49}Number of obs{col 67}={col 69}{res}    21,130
{txt}Group variable: {res}country_year{col 49}{txt}Number of groups{col 67}={col 69}{res}        23
{txt}{col 49}Obs per group:
{col 63}min{col 67}={col 69}{res}       543
{txt}{col 63}avg{col 67}={col 69}{res}     918.7
{txt}{col 63}max{col 67}={col 69}{res}     2,407
{col 49}{txt}Wald chi2({res}13{txt}){col 67}={col 70}{res}   257.26
{txt}Log pseudolikelihood = {res}-35031.087{col 49}{txt}Prob > chi2{col 67}={col 73}{res}0.0000

{txt}{ralign 96:(Std. err. adjusted for {res:23} clusters in {res:country_year})}
{hline 31}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 32}{c |}{col 44}    Robust
{col 1}                          ing4{col 32}{c |} Coefficient{col 44}  std. err.{col 56}      z{col 64}   P>|z|{col 72}     [95% con{col 85}f. interval]
{hline 31}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 13}bgi_dec_fear_cent {c |}{col 32}{res}{space 2}-.0502537{col 44}{space 2} .0169569{col 55}{space 1}   -2.96{col 64}{space 3}0.003{col 72}{space 4}-.0834885{col 85}{space 3}-.0170189
{txt}{space 25}lowGC {c |}{col 32}{res}{space 2}-.0539182{col 44}{space 2} .0664548{col 55}{space 1}   -0.81{col 64}{space 3}0.417{col 72}{space 4}-.1841673{col 85}{space 3} .0763309
{txt}{space 22}groupCon {c |}{col 32}{res}{space 2} .0327653{col 44}{space 2} .0669208{col 55}{space 1}    0.49{col 64}{space 3}0.624{col 72}{space 4}-.0983971{col 85}{space 3} .1639278
{txt}{space 30} {c |}
{space 3}c.bgi_dec_fear_cent#c.lowGC {c |}{col 32}{res}{space 2}-.0250322{col 44}{space 2} .0157732{col 55}{space 1}   -1.59{col 64}{space 3}0.113{col 72}{space 4}-.0559471{col 85}{space 3} .0058827
{txt}{space 30} {c |}
c.bgi_dec_fear_cent#c.groupCon {c |}{col 32}{res}{space 2} .0323443{col 44}{space 2} .0199175{col 55}{space 1}    1.62{col 64}{space 3}0.104{col 72}{space 4}-.0066933{col 85}{space 3} .0713818
{txt}{space 30} {c |}
{space 22}otroethn {c |}{col 32}{res}{space 2}-.1561625{col 44}{space 2} .1466641{col 55}{space 1}   -1.06{col 64}{space 3}0.287{col 72}{space 4}-.4436188{col 85}{space 3} .1312938
{txt}{space 23}mestizo {c |}{col 32}{res}{space 2}-.0923654{col 44}{space 2} .0467355{col 55}{space 1}   -1.98{col 64}{space 3}0.048{col 72}{space 4}-.1839653{col 85}{space 3}-.0007656
{txt}{space 19}incum_voter {c |}{col 32}{res}{space 2} .1762632{col 44}{space 2} .0296994{col 55}{space 1}    5.93{col 64}{space 3}0.000{col 72}{space 4} .1180535{col 85}{space 3} .2344729
{txt}{space 26}cp6r {c |}{col 32}{res}{space 2} .0213605{col 44}{space 2} .0227031{col 55}{space 1}    0.94{col 64}{space 3}0.347{col 72}{space 4}-.0231367{col 85}{space 3} .0658578
{txt}{space 27}edr {c |}{col 32}{res}{space 2} .0720915{col 44}{space 2} .0328707{col 55}{space 1}    2.19{col 64}{space 3}0.028{col 72}{space 4} .0076661{col 85}{space 3} .1365169
{txt}{space 21}quintiles {c |}{col 32}{res}{space 2}  .061656{col 44}{space 2} .0143512{col 55}{space 1}    4.30{col 64}{space 3}0.000{col 72}{space 4} .0335281{col 85}{space 3}  .089784
{txt}{space 24}female {c |}{col 32}{res}{space 2}-.0866915{col 44}{space 2} .0322642{col 55}{space 1}   -2.69{col 64}{space 3}0.007{col 72}{space 4}-.1499282{col 85}{space 3}-.0234548
{txt}{space 25}urban {c |}{col 32}{res}{space 2}-.0638371{col 44}{space 2} .0375598{col 55}{space 1}   -1.70{col 64}{space 3}0.089{col 72}{space 4} -.137453{col 85}{space 3} .0097789
{txt}{space 25}_cons {c |}{col 32}{res}{space 2} 4.955087{col 44}{space 2} .1414818{col 55}{space 1}   35.02{col 64}{space 3}0.000{col 72}{space 4} 4.677788{col 85}{space 3} 5.232386
{txt}{hline 31}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{txt}{hline 29}{c TT}{hline 48}
{col 30}{c |}{col 34}{col 46}Robust{col 63}
{col 3}Random-effects parameters{col 30}{c |}{col 34}Estimate{col 45}std. err.{col 59}[95% conf. interval]
{hline 29}{c +}{hline 48}
{res}country_year{txt}: Independent{col 30}{c |}
{space 18}var(lowGC) {c |}{res}{col 33} 2.06e-09{col 44} .0000496{col 58}        0{col 70}        .
{txt}{space 15}var(groupCon) {c |}{res}{col 33}   .00264{col 44}   .02444{col 58} 3.48e-11{col 70}   200285
{txt}{space 18}var(_cons) {c |}{res}{col 33} .1284656{col 44} .0585562{col 58} .0525774{col 70} .3138883
{txt}{hline 29}{c +}{hline 48}
{col 16}var(Residual){col 30}{c |}{res}{col 33} 2.709145{col 44} .1145137{col 58} 2.493748{col 70} 2.943147
{txt}{hline 29}{c BT}{hline 48}

{p 0 9 2}Warning: Sampling weights were 
specified only at the first level 
in a multilevel model. If these weights are 
indicative of overall and not conditional 
inclusion probabilities, then 
{help mixed##sampling:results may be biased}.
{p_end}

{com}. estimates store model3a
{txt}
{com}. test c.bgi_dec_fear_cent#c.lowGC=c.bgi_dec_fear_cent#c.groupCon

{p 0 7}{space 1}{text:( 1)}{space 1} {res}[ing4]c.bgi_dec_fear_cent#c.lowGC - [ing4]c.bgi_dec_fear_cent#c.groupCon = 0{p_end}

{txt}{col 12}chi2(  1) ={res}    2.76
{txt}{col 10}Prob > chi2 =  {res}  0.0968
{txt}
{com}. sum bgi_dec_fear_cent if groupCon~=.

{txt}    Variable {c |}        Obs        Mean    Std. dev.       Min        Max
{hline 13}{c +}{hline 57}
bgi_dec_fe~t {c |}{res}     23,056    1.398887     3.87253    -3.7602   9.444098
{txt}
{com}. local minbgi=(r(min))
{txt}
{com}. local maxbgi=(r(max))
{txt}
{com}. estimates restore model3a
{txt}(results {stata estimates replay model3a:model3a} are active now)

{com}. margins, atmeans at(bgi_dec_fear_cent=(`minbgi'(.5)`maxbgi') lowGC=(1) groupCon=(0)) at(bgi_dec_fear_cent=(`minbgi'(.5)`maxbgi') lowGC=(0) groupCon=(1)) post
{res}
{txt}{col 1}Adjusted predictions{col 57}{lalign 13:Number of obs}{col 70} = {res}{ralign 6:21,130}
{txt}{col 1}Model VCE: {res:Robust}

{txt}{p2colset 1 13 13 2}{...}
{p2col:Expression:}{res:Linear prediction, fixed portion, predict()}{p_end}
{p2colreset}{...}
{lalign 8:1._at: }{space 0}{lalign 16:bgi_dec_fear_c~t} = {res:{ralign 9:-3.7602}}
{lalign 8:}{space 0}{lalign 16:lowGC} = {res:{ralign 9:1}}
{lalign 8:}{space 0}{lalign 16:groupCon} = {res:{ralign 9:0}}
{lalign 8:}{space 0}{lalign 16:otroethn} = {res:{ralign 9:.0160206}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:mestizo} = {res:{ralign 9:.549802}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:incum_voter} = {res:{ralign 9:.362136}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:cp6r} = {res:{ralign 9:1.411303}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:edr} = {res:{ralign 9:1.9054}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:quintiles} = {res:{ralign 9:3.050994}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:female} = {res:{ralign 9:.4594079}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:urban} = {res:{ralign 9:.7332114}} {txt:(mean)}
{lalign 8:2._at: }{space 0}{lalign 16:bgi_dec_fear_c~t} = {res:{ralign 9:-3.2602}}
{lalign 8:}{space 0}{lalign 16:lowGC} = {res:{ralign 9:1}}
{lalign 8:}{space 0}{lalign 16:groupCon} = {res:{ralign 9:0}}
{lalign 8:}{space 0}{lalign 16:otroethn} = {res:{ralign 9:.0160206}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:mestizo} = {res:{ralign 9:.549802}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:incum_voter} = {res:{ralign 9:.362136}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:cp6r} = {res:{ralign 9:1.411303}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:edr} = {res:{ralign 9:1.9054}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:quintiles} = {res:{ralign 9:3.050994}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:female} = {res:{ralign 9:.4594079}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:urban} = {res:{ralign 9:.7332114}} {txt:(mean)}
{lalign 8:3._at: }{space 0}{lalign 16:bgi_dec_fear_c~t} = {res:{ralign 9:-2.7602}}
{lalign 8:}{space 0}{lalign 16:lowGC} = {res:{ralign 9:1}}
{lalign 8:}{space 0}{lalign 16:groupCon} = {res:{ralign 9:0}}
{lalign 8:}{space 0}{lalign 16:otroethn} = {res:{ralign 9:.0160206}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:mestizo} = {res:{ralign 9:.549802}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:incum_voter} = {res:{ralign 9:.362136}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:cp6r} = {res:{ralign 9:1.411303}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:edr} = {res:{ralign 9:1.9054}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:quintiles} = {res:{ralign 9:3.050994}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:female} = {res:{ralign 9:.4594079}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:urban} = {res:{ralign 9:.7332114}} {txt:(mean)}
{lalign 8:4._at: }{space 0}{lalign 16:bgi_dec_fear_c~t} = {res:{ralign 9:-2.2602}}
{lalign 8:}{space 0}{lalign 16:lowGC} = {res:{ralign 9:1}}
{lalign 8:}{space 0}{lalign 16:groupCon} = {res:{ralign 9:0}}
{lalign 8:}{space 0}{lalign 16:otroethn} = {res:{ralign 9:.0160206}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:mestizo} = {res:{ralign 9:.549802}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:incum_voter} = {res:{ralign 9:.362136}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:cp6r} = {res:{ralign 9:1.411303}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:edr} = {res:{ralign 9:1.9054}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:quintiles} = {res:{ralign 9:3.050994}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:female} = {res:{ralign 9:.4594079}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:urban} = {res:{ralign 9:.7332114}} {txt:(mean)}
{lalign 8:5._at: }{space 0}{lalign 16:bgi_dec_fear_c~t} = {res:{ralign 9:-1.7602}}
{lalign 8:}{space 0}{lalign 16:lowGC} = {res:{ralign 9:1}}
{lalign 8:}{space 0}{lalign 16:groupCon} = {res:{ralign 9:0}}
{lalign 8:}{space 0}{lalign 16:otroethn} = {res:{ralign 9:.0160206}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:mestizo} = {res:{ralign 9:.549802}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:incum_voter} = {res:{ralign 9:.362136}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:cp6r} = {res:{ralign 9:1.411303}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:edr} = {res:{ralign 9:1.9054}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:quintiles} = {res:{ralign 9:3.050994}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:female} = {res:{ralign 9:.4594079}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:urban} = {res:{ralign 9:.7332114}} {txt:(mean)}
{lalign 8:6._at: }{space 0}{lalign 16:bgi_dec_fear_c~t} = {res:{ralign 9:-1.2602}}
{lalign 8:}{space 0}{lalign 16:lowGC} = {res:{ralign 9:1}}
{lalign 8:}{space 0}{lalign 16:groupCon} = {res:{ralign 9:0}}
{lalign 8:}{space 0}{lalign 16:otroethn} = {res:{ralign 9:.0160206}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:mestizo} = {res:{ralign 9:.549802}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:incum_voter} = {res:{ralign 9:.362136}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:cp6r} = {res:{ralign 9:1.411303}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:edr} = {res:{ralign 9:1.9054}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:quintiles} = {res:{ralign 9:3.050994}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:female} = {res:{ralign 9:.4594079}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:urban} = {res:{ralign 9:.7332114}} {txt:(mean)}
{lalign 8:7._at: }{space 0}{lalign 16:bgi_dec_fear_c~t} = {res:{ralign 9:-.7601998}}
{lalign 8:}{space 0}{lalign 16:lowGC} = {res:{ralign 9:1}}
{lalign 8:}{space 0}{lalign 16:groupCon} = {res:{ralign 9:0}}
{lalign 8:}{space 0}{lalign 16:otroethn} = {res:{ralign 9:.0160206}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:mestizo} = {res:{ralign 9:.549802}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:incum_voter} = {res:{ralign 9:.362136}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:cp6r} = {res:{ralign 9:1.411303}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:edr} = {res:{ralign 9:1.9054}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:quintiles} = {res:{ralign 9:3.050994}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:female} = {res:{ralign 9:.4594079}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:urban} = {res:{ralign 9:.7332114}} {txt:(mean)}
{lalign 8:8._at: }{space 0}{lalign 16:bgi_dec_fear_c~t} = {res:{ralign 9:-.2601998}}
{lalign 8:}{space 0}{lalign 16:lowGC} = {res:{ralign 9:1}}
{lalign 8:}{space 0}{lalign 16:groupCon} = {res:{ralign 9:0}}
{lalign 8:}{space 0}{lalign 16:otroethn} = {res:{ralign 9:.0160206}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:mestizo} = {res:{ralign 9:.549802}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:incum_voter} = {res:{ralign 9:.362136}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:cp6r} = {res:{ralign 9:1.411303}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:edr} = {res:{ralign 9:1.9054}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:quintiles} = {res:{ralign 9:3.050994}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:female} = {res:{ralign 9:.4594079}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:urban} = {res:{ralign 9:.7332114}} {txt:(mean)}
{lalign 8:9._at: }{space 0}{lalign 16:bgi_dec_fear_c~t} = {res:{ralign 9:.2398002}}
{lalign 8:}{space 0}{lalign 16:lowGC} = {res:{ralign 9:1}}
{lalign 8:}{space 0}{lalign 16:groupCon} = {res:{ralign 9:0}}
{lalign 8:}{space 0}{lalign 16:otroethn} = {res:{ralign 9:.0160206}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:mestizo} = {res:{ralign 9:.549802}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:incum_voter} = {res:{ralign 9:.362136}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:cp6r} = {res:{ralign 9:1.411303}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:edr} = {res:{ralign 9:1.9054}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:quintiles} = {res:{ralign 9:3.050994}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:female} = {res:{ralign 9:.4594079}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:urban} = {res:{ralign 9:.7332114}} {txt:(mean)}
{lalign 8:10._at: }{space 0}{lalign 16:bgi_dec_fear_c~t} = {res:{ralign 9:.7398002}}
{lalign 8:}{space 0}{lalign 16:lowGC} = {res:{ralign 9:1}}
{lalign 8:}{space 0}{lalign 16:groupCon} = {res:{ralign 9:0}}
{lalign 8:}{space 0}{lalign 16:otroethn} = {res:{ralign 9:.0160206}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:mestizo} = {res:{ralign 9:.549802}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:incum_voter} = {res:{ralign 9:.362136}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:cp6r} = {res:{ralign 9:1.411303}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:edr} = {res:{ralign 9:1.9054}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:quintiles} = {res:{ralign 9:3.050994}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:female} = {res:{ralign 9:.4594079}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:urban} = {res:{ralign 9:.7332114}} {txt:(mean)}
{lalign 8:11._at: }{space 0}{lalign 16:bgi_dec_fear_c~t} = {res:{ralign 9:1.2398}}
{lalign 8:}{space 0}{lalign 16:lowGC} = {res:{ralign 9:1}}
{lalign 8:}{space 0}{lalign 16:groupCon} = {res:{ralign 9:0}}
{lalign 8:}{space 0}{lalign 16:otroethn} = {res:{ralign 9:.0160206}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:mestizo} = {res:{ralign 9:.549802}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:incum_voter} = {res:{ralign 9:.362136}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:cp6r} = {res:{ralign 9:1.411303}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:edr} = {res:{ralign 9:1.9054}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:quintiles} = {res:{ralign 9:3.050994}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:female} = {res:{ralign 9:.4594079}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:urban} = {res:{ralign 9:.7332114}} {txt:(mean)}
{lalign 8:12._at: }{space 0}{lalign 16:bgi_dec_fear_c~t} = {res:{ralign 9:1.7398}}
{lalign 8:}{space 0}{lalign 16:lowGC} = {res:{ralign 9:1}}
{lalign 8:}{space 0}{lalign 16:groupCon} = {res:{ralign 9:0}}
{lalign 8:}{space 0}{lalign 16:otroethn} = {res:{ralign 9:.0160206}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:mestizo} = {res:{ralign 9:.549802}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:incum_voter} = {res:{ralign 9:.362136}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:cp6r} = {res:{ralign 9:1.411303}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:edr} = {res:{ralign 9:1.9054}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:quintiles} = {res:{ralign 9:3.050994}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:female} = {res:{ralign 9:.4594079}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:urban} = {res:{ralign 9:.7332114}} {txt:(mean)}
{lalign 8:13._at: }{space 0}{lalign 16:bgi_dec_fear_c~t} = {res:{ralign 9:2.2398}}
{lalign 8:}{space 0}{lalign 16:lowGC} = {res:{ralign 9:1}}
{lalign 8:}{space 0}{lalign 16:groupCon} = {res:{ralign 9:0}}
{lalign 8:}{space 0}{lalign 16:otroethn} = {res:{ralign 9:.0160206}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:mestizo} = {res:{ralign 9:.549802}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:incum_voter} = {res:{ralign 9:.362136}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:cp6r} = {res:{ralign 9:1.411303}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:edr} = {res:{ralign 9:1.9054}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:quintiles} = {res:{ralign 9:3.050994}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:female} = {res:{ralign 9:.4594079}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:urban} = {res:{ralign 9:.7332114}} {txt:(mean)}
{lalign 8:14._at: }{space 0}{lalign 16:bgi_dec_fear_c~t} = {res:{ralign 9:2.7398}}
{lalign 8:}{space 0}{lalign 16:lowGC} = {res:{ralign 9:1}}
{lalign 8:}{space 0}{lalign 16:groupCon} = {res:{ralign 9:0}}
{lalign 8:}{space 0}{lalign 16:otroethn} = {res:{ralign 9:.0160206}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:mestizo} = {res:{ralign 9:.549802}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:incum_voter} = {res:{ralign 9:.362136}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:cp6r} = {res:{ralign 9:1.411303}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:edr} = {res:{ralign 9:1.9054}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:quintiles} = {res:{ralign 9:3.050994}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:female} = {res:{ralign 9:.4594079}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:urban} = {res:{ralign 9:.7332114}} {txt:(mean)}
{lalign 8:15._at: }{space 0}{lalign 16:bgi_dec_fear_c~t} = {res:{ralign 9:3.2398}}
{lalign 8:}{space 0}{lalign 16:lowGC} = {res:{ralign 9:1}}
{lalign 8:}{space 0}{lalign 16:groupCon} = {res:{ralign 9:0}}
{lalign 8:}{space 0}{lalign 16:otroethn} = {res:{ralign 9:.0160206}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:mestizo} = {res:{ralign 9:.549802}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:incum_voter} = {res:{ralign 9:.362136}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:cp6r} = {res:{ralign 9:1.411303}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:edr} = {res:{ralign 9:1.9054}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:quintiles} = {res:{ralign 9:3.050994}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:female} = {res:{ralign 9:.4594079}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:urban} = {res:{ralign 9:.7332114}} {txt:(mean)}
{lalign 8:16._at: }{space 0}{lalign 16:bgi_dec_fear_c~t} = {res:{ralign 9:3.7398}}
{lalign 8:}{space 0}{lalign 16:lowGC} = {res:{ralign 9:1}}
{lalign 8:}{space 0}{lalign 16:groupCon} = {res:{ralign 9:0}}
{lalign 8:}{space 0}{lalign 16:otroethn} = {res:{ralign 9:.0160206}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:mestizo} = {res:{ralign 9:.549802}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:incum_voter} = {res:{ralign 9:.362136}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:cp6r} = {res:{ralign 9:1.411303}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:edr} = {res:{ralign 9:1.9054}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:quintiles} = {res:{ralign 9:3.050994}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:female} = {res:{ralign 9:.4594079}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:urban} = {res:{ralign 9:.7332114}} {txt:(mean)}
{lalign 8:17._at: }{space 0}{lalign 16:bgi_dec_fear_c~t} = {res:{ralign 9:4.2398}}
{lalign 8:}{space 0}{lalign 16:lowGC} = {res:{ralign 9:1}}
{lalign 8:}{space 0}{lalign 16:groupCon} = {res:{ralign 9:0}}
{lalign 8:}{space 0}{lalign 16:otroethn} = {res:{ralign 9:.0160206}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:mestizo} = {res:{ralign 9:.549802}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:incum_voter} = {res:{ralign 9:.362136}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:cp6r} = {res:{ralign 9:1.411303}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:edr} = {res:{ralign 9:1.9054}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:quintiles} = {res:{ralign 9:3.050994}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:female} = {res:{ralign 9:.4594079}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:urban} = {res:{ralign 9:.7332114}} {txt:(mean)}
{lalign 8:18._at: }{space 0}{lalign 16:bgi_dec_fear_c~t} = {res:{ralign 9:4.7398}}
{lalign 8:}{space 0}{lalign 16:lowGC} = {res:{ralign 9:1}}
{lalign 8:}{space 0}{lalign 16:groupCon} = {res:{ralign 9:0}}
{lalign 8:}{space 0}{lalign 16:otroethn} = {res:{ralign 9:.0160206}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:mestizo} = {res:{ralign 9:.549802}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:incum_voter} = {res:{ralign 9:.362136}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:cp6r} = {res:{ralign 9:1.411303}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:edr} = {res:{ralign 9:1.9054}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:quintiles} = {res:{ralign 9:3.050994}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:female} = {res:{ralign 9:.4594079}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:urban} = {res:{ralign 9:.7332114}} {txt:(mean)}
{lalign 8:19._at: }{space 0}{lalign 16:bgi_dec_fear_c~t} = {res:{ralign 9:5.2398}}
{lalign 8:}{space 0}{lalign 16:lowGC} = {res:{ralign 9:1}}
{lalign 8:}{space 0}{lalign 16:groupCon} = {res:{ralign 9:0}}
{lalign 8:}{space 0}{lalign 16:otroethn} = {res:{ralign 9:.0160206}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:mestizo} = {res:{ralign 9:.549802}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:incum_voter} = {res:{ralign 9:.362136}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:cp6r} = {res:{ralign 9:1.411303}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:edr} = {res:{ralign 9:1.9054}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:quintiles} = {res:{ralign 9:3.050994}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:female} = {res:{ralign 9:.4594079}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:urban} = {res:{ralign 9:.7332114}} {txt:(mean)}
{lalign 8:20._at: }{space 0}{lalign 16:bgi_dec_fear_c~t} = {res:{ralign 9:5.7398}}
{lalign 8:}{space 0}{lalign 16:lowGC} = {res:{ralign 9:1}}
{lalign 8:}{space 0}{lalign 16:groupCon} = {res:{ralign 9:0}}
{lalign 8:}{space 0}{lalign 16:otroethn} = {res:{ralign 9:.0160206}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:mestizo} = {res:{ralign 9:.549802}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:incum_voter} = {res:{ralign 9:.362136}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:cp6r} = {res:{ralign 9:1.411303}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:edr} = {res:{ralign 9:1.9054}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:quintiles} = {res:{ralign 9:3.050994}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:female} = {res:{ralign 9:.4594079}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:urban} = {res:{ralign 9:.7332114}} {txt:(mean)}
{lalign 8:21._at: }{space 0}{lalign 16:bgi_dec_fear_c~t} = {res:{ralign 9:6.2398}}
{lalign 8:}{space 0}{lalign 16:lowGC} = {res:{ralign 9:1}}
{lalign 8:}{space 0}{lalign 16:groupCon} = {res:{ralign 9:0}}
{lalign 8:}{space 0}{lalign 16:otroethn} = {res:{ralign 9:.0160206}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:mestizo} = {res:{ralign 9:.549802}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:incum_voter} = {res:{ralign 9:.362136}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:cp6r} = {res:{ralign 9:1.411303}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:edr} = {res:{ralign 9:1.9054}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:quintiles} = {res:{ralign 9:3.050994}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:female} = {res:{ralign 9:.4594079}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:urban} = {res:{ralign 9:.7332114}} {txt:(mean)}
{lalign 8:22._at: }{space 0}{lalign 16:bgi_dec_fear_c~t} = {res:{ralign 9:6.7398}}
{lalign 8:}{space 0}{lalign 16:lowGC} = {res:{ralign 9:1}}
{lalign 8:}{space 0}{lalign 16:groupCon} = {res:{ralign 9:0}}
{lalign 8:}{space 0}{lalign 16:otroethn} = {res:{ralign 9:.0160206}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:mestizo} = {res:{ralign 9:.549802}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:incum_voter} = {res:{ralign 9:.362136}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:cp6r} = {res:{ralign 9:1.411303}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:edr} = {res:{ralign 9:1.9054}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:quintiles} = {res:{ralign 9:3.050994}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:female} = {res:{ralign 9:.4594079}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:urban} = {res:{ralign 9:.7332114}} {txt:(mean)}
{lalign 8:23._at: }{space 0}{lalign 16:bgi_dec_fear_c~t} = {res:{ralign 9:7.2398}}
{lalign 8:}{space 0}{lalign 16:lowGC} = {res:{ralign 9:1}}
{lalign 8:}{space 0}{lalign 16:groupCon} = {res:{ralign 9:0}}
{lalign 8:}{space 0}{lalign 16:otroethn} = {res:{ralign 9:.0160206}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:mestizo} = {res:{ralign 9:.549802}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:incum_voter} = {res:{ralign 9:.362136}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:cp6r} = {res:{ralign 9:1.411303}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:edr} = {res:{ralign 9:1.9054}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:quintiles} = {res:{ralign 9:3.050994}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:female} = {res:{ralign 9:.4594079}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:urban} = {res:{ralign 9:.7332114}} {txt:(mean)}
{lalign 8:24._at: }{space 0}{lalign 16:bgi_dec_fear_c~t} = {res:{ralign 9:7.7398}}
{lalign 8:}{space 0}{lalign 16:lowGC} = {res:{ralign 9:1}}
{lalign 8:}{space 0}{lalign 16:groupCon} = {res:{ralign 9:0}}
{lalign 8:}{space 0}{lalign 16:otroethn} = {res:{ralign 9:.0160206}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:mestizo} = {res:{ralign 9:.549802}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:incum_voter} = {res:{ralign 9:.362136}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:cp6r} = {res:{ralign 9:1.411303}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:edr} = {res:{ralign 9:1.9054}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:quintiles} = {res:{ralign 9:3.050994}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:female} = {res:{ralign 9:.4594079}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:urban} = {res:{ralign 9:.7332114}} {txt:(mean)}
{lalign 8:25._at: }{space 0}{lalign 16:bgi_dec_fear_c~t} = {res:{ralign 9:8.2398}}
{lalign 8:}{space 0}{lalign 16:lowGC} = {res:{ralign 9:1}}
{lalign 8:}{space 0}{lalign 16:groupCon} = {res:{ralign 9:0}}
{lalign 8:}{space 0}{lalign 16:otroethn} = {res:{ralign 9:.0160206}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:mestizo} = {res:{ralign 9:.549802}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:incum_voter} = {res:{ralign 9:.362136}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:cp6r} = {res:{ralign 9:1.411303}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:edr} = {res:{ralign 9:1.9054}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:quintiles} = {res:{ralign 9:3.050994}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:female} = {res:{ralign 9:.4594079}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:urban} = {res:{ralign 9:.7332114}} {txt:(mean)}
{lalign 8:26._at: }{space 0}{lalign 16:bgi_dec_fear_c~t} = {res:{ralign 9:8.7398}}
{lalign 8:}{space 0}{lalign 16:lowGC} = {res:{ralign 9:1}}
{lalign 8:}{space 0}{lalign 16:groupCon} = {res:{ralign 9:0}}
{lalign 8:}{space 0}{lalign 16:otroethn} = {res:{ralign 9:.0160206}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:mestizo} = {res:{ralign 9:.549802}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:incum_voter} = {res:{ralign 9:.362136}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:cp6r} = {res:{ralign 9:1.411303}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:edr} = {res:{ralign 9:1.9054}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:quintiles} = {res:{ralign 9:3.050994}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:female} = {res:{ralign 9:.4594079}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:urban} = {res:{ralign 9:.7332114}} {txt:(mean)}
{lalign 8:27._at: }{space 0}{lalign 16:bgi_dec_fear_c~t} = {res:{ralign 9:9.2398}}
{lalign 8:}{space 0}{lalign 16:lowGC} = {res:{ralign 9:1}}
{lalign 8:}{space 0}{lalign 16:groupCon} = {res:{ralign 9:0}}
{lalign 8:}{space 0}{lalign 16:otroethn} = {res:{ralign 9:.0160206}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:mestizo} = {res:{ralign 9:.549802}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:incum_voter} = {res:{ralign 9:.362136}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:cp6r} = {res:{ralign 9:1.411303}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:edr} = {res:{ralign 9:1.9054}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:quintiles} = {res:{ralign 9:3.050994}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:female} = {res:{ralign 9:.4594079}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:urban} = {res:{ralign 9:.7332114}} {txt:(mean)}
{lalign 8:28._at: }{space 0}{lalign 16:bgi_dec_fear_c~t} = {res:{ralign 9:-3.7602}}
{lalign 8:}{space 0}{lalign 16:lowGC} = {res:{ralign 9:0}}
{lalign 8:}{space 0}{lalign 16:groupCon} = {res:{ralign 9:1}}
{lalign 8:}{space 0}{lalign 16:otroethn} = {res:{ralign 9:.0160206}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:mestizo} = {res:{ralign 9:.549802}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:incum_voter} = {res:{ralign 9:.362136}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:cp6r} = {res:{ralign 9:1.411303}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:edr} = {res:{ralign 9:1.9054}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:quintiles} = {res:{ralign 9:3.050994}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:female} = {res:{ralign 9:.4594079}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:urban} = {res:{ralign 9:.7332114}} {txt:(mean)}
{lalign 8:29._at: }{space 0}{lalign 16:bgi_dec_fear_c~t} = {res:{ralign 9:-3.2602}}
{lalign 8:}{space 0}{lalign 16:lowGC} = {res:{ralign 9:0}}
{lalign 8:}{space 0}{lalign 16:groupCon} = {res:{ralign 9:1}}
{lalign 8:}{space 0}{lalign 16:otroethn} = {res:{ralign 9:.0160206}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:mestizo} = {res:{ralign 9:.549802}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:incum_voter} = {res:{ralign 9:.362136}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:cp6r} = {res:{ralign 9:1.411303}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:edr} = {res:{ralign 9:1.9054}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:quintiles} = {res:{ralign 9:3.050994}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:female} = {res:{ralign 9:.4594079}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:urban} = {res:{ralign 9:.7332114}} {txt:(mean)}
{lalign 8:30._at: }{space 0}{lalign 16:bgi_dec_fear_c~t} = {res:{ralign 9:-2.7602}}
{lalign 8:}{space 0}{lalign 16:lowGC} = {res:{ralign 9:0}}
{lalign 8:}{space 0}{lalign 16:groupCon} = {res:{ralign 9:1}}
{lalign 8:}{space 0}{lalign 16:otroethn} = {res:{ralign 9:.0160206}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:mestizo} = {res:{ralign 9:.549802}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:incum_voter} = {res:{ralign 9:.362136}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:cp6r} = {res:{ralign 9:1.411303}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:edr} = {res:{ralign 9:1.9054}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:quintiles} = {res:{ralign 9:3.050994}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:female} = {res:{ralign 9:.4594079}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:urban} = {res:{ralign 9:.7332114}} {txt:(mean)}
{lalign 8:31._at: }{space 0}{lalign 16:bgi_dec_fear_c~t} = {res:{ralign 9:-2.2602}}
{lalign 8:}{space 0}{lalign 16:lowGC} = {res:{ralign 9:0}}
{lalign 8:}{space 0}{lalign 16:groupCon} = {res:{ralign 9:1}}
{lalign 8:}{space 0}{lalign 16:otroethn} = {res:{ralign 9:.0160206}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:mestizo} = {res:{ralign 9:.549802}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:incum_voter} = {res:{ralign 9:.362136}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:cp6r} = {res:{ralign 9:1.411303}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:edr} = {res:{ralign 9:1.9054}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:quintiles} = {res:{ralign 9:3.050994}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:female} = {res:{ralign 9:.4594079}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:urban} = {res:{ralign 9:.7332114}} {txt:(mean)}
{lalign 8:32._at: }{space 0}{lalign 16:bgi_dec_fear_c~t} = {res:{ralign 9:-1.7602}}
{lalign 8:}{space 0}{lalign 16:lowGC} = {res:{ralign 9:0}}
{lalign 8:}{space 0}{lalign 16:groupCon} = {res:{ralign 9:1}}
{lalign 8:}{space 0}{lalign 16:otroethn} = {res:{ralign 9:.0160206}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:mestizo} = {res:{ralign 9:.549802}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:incum_voter} = {res:{ralign 9:.362136}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:cp6r} = {res:{ralign 9:1.411303}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:edr} = {res:{ralign 9:1.9054}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:quintiles} = {res:{ralign 9:3.050994}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:female} = {res:{ralign 9:.4594079}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:urban} = {res:{ralign 9:.7332114}} {txt:(mean)}
{lalign 8:33._at: }{space 0}{lalign 16:bgi_dec_fear_c~t} = {res:{ralign 9:-1.2602}}
{lalign 8:}{space 0}{lalign 16:lowGC} = {res:{ralign 9:0}}
{lalign 8:}{space 0}{lalign 16:groupCon} = {res:{ralign 9:1}}
{lalign 8:}{space 0}{lalign 16:otroethn} = {res:{ralign 9:.0160206}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:mestizo} = {res:{ralign 9:.549802}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:incum_voter} = {res:{ralign 9:.362136}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:cp6r} = {res:{ralign 9:1.411303}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:edr} = {res:{ralign 9:1.9054}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:quintiles} = {res:{ralign 9:3.050994}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:female} = {res:{ralign 9:.4594079}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:urban} = {res:{ralign 9:.7332114}} {txt:(mean)}
{lalign 8:34._at: }{space 0}{lalign 16:bgi_dec_fear_c~t} = {res:{ralign 9:-.7601998}}
{lalign 8:}{space 0}{lalign 16:lowGC} = {res:{ralign 9:0}}
{lalign 8:}{space 0}{lalign 16:groupCon} = {res:{ralign 9:1}}
{lalign 8:}{space 0}{lalign 16:otroethn} = {res:{ralign 9:.0160206}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:mestizo} = {res:{ralign 9:.549802}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:incum_voter} = {res:{ralign 9:.362136}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:cp6r} = {res:{ralign 9:1.411303}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:edr} = {res:{ralign 9:1.9054}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:quintiles} = {res:{ralign 9:3.050994}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:female} = {res:{ralign 9:.4594079}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:urban} = {res:{ralign 9:.7332114}} {txt:(mean)}
{lalign 8:35._at: }{space 0}{lalign 16:bgi_dec_fear_c~t} = {res:{ralign 9:-.2601998}}
{lalign 8:}{space 0}{lalign 16:lowGC} = {res:{ralign 9:0}}
{lalign 8:}{space 0}{lalign 16:groupCon} = {res:{ralign 9:1}}
{lalign 8:}{space 0}{lalign 16:otroethn} = {res:{ralign 9:.0160206}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:mestizo} = {res:{ralign 9:.549802}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:incum_voter} = {res:{ralign 9:.362136}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:cp6r} = {res:{ralign 9:1.411303}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:edr} = {res:{ralign 9:1.9054}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:quintiles} = {res:{ralign 9:3.050994}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:female} = {res:{ralign 9:.4594079}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:urban} = {res:{ralign 9:.7332114}} {txt:(mean)}
{lalign 8:36._at: }{space 0}{lalign 16:bgi_dec_fear_c~t} = {res:{ralign 9:.2398002}}
{lalign 8:}{space 0}{lalign 16:lowGC} = {res:{ralign 9:0}}
{lalign 8:}{space 0}{lalign 16:groupCon} = {res:{ralign 9:1}}
{lalign 8:}{space 0}{lalign 16:otroethn} = {res:{ralign 9:.0160206}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:mestizo} = {res:{ralign 9:.549802}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:incum_voter} = {res:{ralign 9:.362136}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:cp6r} = {res:{ralign 9:1.411303}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:edr} = {res:{ralign 9:1.9054}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:quintiles} = {res:{ralign 9:3.050994}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:female} = {res:{ralign 9:.4594079}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:urban} = {res:{ralign 9:.7332114}} {txt:(mean)}
{lalign 8:37._at: }{space 0}{lalign 16:bgi_dec_fear_c~t} = {res:{ralign 9:.7398002}}
{lalign 8:}{space 0}{lalign 16:lowGC} = {res:{ralign 9:0}}
{lalign 8:}{space 0}{lalign 16:groupCon} = {res:{ralign 9:1}}
{lalign 8:}{space 0}{lalign 16:otroethn} = {res:{ralign 9:.0160206}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:mestizo} = {res:{ralign 9:.549802}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:incum_voter} = {res:{ralign 9:.362136}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:cp6r} = {res:{ralign 9:1.411303}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:edr} = {res:{ralign 9:1.9054}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:quintiles} = {res:{ralign 9:3.050994}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:female} = {res:{ralign 9:.4594079}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:urban} = {res:{ralign 9:.7332114}} {txt:(mean)}
{lalign 8:38._at: }{space 0}{lalign 16:bgi_dec_fear_c~t} = {res:{ralign 9:1.2398}}
{lalign 8:}{space 0}{lalign 16:lowGC} = {res:{ralign 9:0}}
{lalign 8:}{space 0}{lalign 16:groupCon} = {res:{ralign 9:1}}
{lalign 8:}{space 0}{lalign 16:otroethn} = {res:{ralign 9:.0160206}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:mestizo} = {res:{ralign 9:.549802}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:incum_voter} = {res:{ralign 9:.362136}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:cp6r} = {res:{ralign 9:1.411303}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:edr} = {res:{ralign 9:1.9054}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:quintiles} = {res:{ralign 9:3.050994}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:female} = {res:{ralign 9:.4594079}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:urban} = {res:{ralign 9:.7332114}} {txt:(mean)}
{lalign 8:39._at: }{space 0}{lalign 16:bgi_dec_fear_c~t} = {res:{ralign 9:1.7398}}
{lalign 8:}{space 0}{lalign 16:lowGC} = {res:{ralign 9:0}}
{lalign 8:}{space 0}{lalign 16:groupCon} = {res:{ralign 9:1}}
{lalign 8:}{space 0}{lalign 16:otroethn} = {res:{ralign 9:.0160206}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:mestizo} = {res:{ralign 9:.549802}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:incum_voter} = {res:{ralign 9:.362136}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:cp6r} = {res:{ralign 9:1.411303}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:edr} = {res:{ralign 9:1.9054}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:quintiles} = {res:{ralign 9:3.050994}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:female} = {res:{ralign 9:.4594079}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:urban} = {res:{ralign 9:.7332114}} {txt:(mean)}
{lalign 8:40._at: }{space 0}{lalign 16:bgi_dec_fear_c~t} = {res:{ralign 9:2.2398}}
{lalign 8:}{space 0}{lalign 16:lowGC} = {res:{ralign 9:0}}
{lalign 8:}{space 0}{lalign 16:groupCon} = {res:{ralign 9:1}}
{lalign 8:}{space 0}{lalign 16:otroethn} = {res:{ralign 9:.0160206}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:mestizo} = {res:{ralign 9:.549802}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:incum_voter} = {res:{ralign 9:.362136}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:cp6r} = {res:{ralign 9:1.411303}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:edr} = {res:{ralign 9:1.9054}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:quintiles} = {res:{ralign 9:3.050994}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:female} = {res:{ralign 9:.4594079}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:urban} = {res:{ralign 9:.7332114}} {txt:(mean)}
{lalign 8:41._at: }{space 0}{lalign 16:bgi_dec_fear_c~t} = {res:{ralign 9:2.7398}}
{lalign 8:}{space 0}{lalign 16:lowGC} = {res:{ralign 9:0}}
{lalign 8:}{space 0}{lalign 16:groupCon} = {res:{ralign 9:1}}
{lalign 8:}{space 0}{lalign 16:otroethn} = {res:{ralign 9:.0160206}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:mestizo} = {res:{ralign 9:.549802}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:incum_voter} = {res:{ralign 9:.362136}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:cp6r} = {res:{ralign 9:1.411303}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:edr} = {res:{ralign 9:1.9054}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:quintiles} = {res:{ralign 9:3.050994}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:female} = {res:{ralign 9:.4594079}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:urban} = {res:{ralign 9:.7332114}} {txt:(mean)}
{lalign 8:42._at: }{space 0}{lalign 16:bgi_dec_fear_c~t} = {res:{ralign 9:3.2398}}
{lalign 8:}{space 0}{lalign 16:lowGC} = {res:{ralign 9:0}}
{lalign 8:}{space 0}{lalign 16:groupCon} = {res:{ralign 9:1}}
{lalign 8:}{space 0}{lalign 16:otroethn} = {res:{ralign 9:.0160206}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:mestizo} = {res:{ralign 9:.549802}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:incum_voter} = {res:{ralign 9:.362136}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:cp6r} = {res:{ralign 9:1.411303}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:edr} = {res:{ralign 9:1.9054}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:quintiles} = {res:{ralign 9:3.050994}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:female} = {res:{ralign 9:.4594079}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:urban} = {res:{ralign 9:.7332114}} {txt:(mean)}
{lalign 8:43._at: }{space 0}{lalign 16:bgi_dec_fear_c~t} = {res:{ralign 9:3.7398}}
{lalign 8:}{space 0}{lalign 16:lowGC} = {res:{ralign 9:0}}
{lalign 8:}{space 0}{lalign 16:groupCon} = {res:{ralign 9:1}}
{lalign 8:}{space 0}{lalign 16:otroethn} = {res:{ralign 9:.0160206}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:mestizo} = {res:{ralign 9:.549802}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:incum_voter} = {res:{ralign 9:.362136}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:cp6r} = {res:{ralign 9:1.411303}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:edr} = {res:{ralign 9:1.9054}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:quintiles} = {res:{ralign 9:3.050994}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:female} = {res:{ralign 9:.4594079}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:urban} = {res:{ralign 9:.7332114}} {txt:(mean)}
{lalign 8:44._at: }{space 0}{lalign 16:bgi_dec_fear_c~t} = {res:{ralign 9:4.2398}}
{lalign 8:}{space 0}{lalign 16:lowGC} = {res:{ralign 9:0}}
{lalign 8:}{space 0}{lalign 16:groupCon} = {res:{ralign 9:1}}
{lalign 8:}{space 0}{lalign 16:otroethn} = {res:{ralign 9:.0160206}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:mestizo} = {res:{ralign 9:.549802}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:incum_voter} = {res:{ralign 9:.362136}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:cp6r} = {res:{ralign 9:1.411303}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:edr} = {res:{ralign 9:1.9054}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:quintiles} = {res:{ralign 9:3.050994}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:female} = {res:{ralign 9:.4594079}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:urban} = {res:{ralign 9:.7332114}} {txt:(mean)}
{lalign 8:45._at: }{space 0}{lalign 16:bgi_dec_fear_c~t} = {res:{ralign 9:4.7398}}
{lalign 8:}{space 0}{lalign 16:lowGC} = {res:{ralign 9:0}}
{lalign 8:}{space 0}{lalign 16:groupCon} = {res:{ralign 9:1}}
{lalign 8:}{space 0}{lalign 16:otroethn} = {res:{ralign 9:.0160206}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:mestizo} = {res:{ralign 9:.549802}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:incum_voter} = {res:{ralign 9:.362136}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:cp6r} = {res:{ralign 9:1.411303}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:edr} = {res:{ralign 9:1.9054}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:quintiles} = {res:{ralign 9:3.050994}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:female} = {res:{ralign 9:.4594079}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:urban} = {res:{ralign 9:.7332114}} {txt:(mean)}
{lalign 8:46._at: }{space 0}{lalign 16:bgi_dec_fear_c~t} = {res:{ralign 9:5.2398}}
{lalign 8:}{space 0}{lalign 16:lowGC} = {res:{ralign 9:0}}
{lalign 8:}{space 0}{lalign 16:groupCon} = {res:{ralign 9:1}}
{lalign 8:}{space 0}{lalign 16:otroethn} = {res:{ralign 9:.0160206}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:mestizo} = {res:{ralign 9:.549802}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:incum_voter} = {res:{ralign 9:.362136}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:cp6r} = {res:{ralign 9:1.411303}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:edr} = {res:{ralign 9:1.9054}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:quintiles} = {res:{ralign 9:3.050994}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:female} = {res:{ralign 9:.4594079}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:urban} = {res:{ralign 9:.7332114}} {txt:(mean)}
{lalign 8:47._at: }{space 0}{lalign 16:bgi_dec_fear_c~t} = {res:{ralign 9:5.7398}}
{lalign 8:}{space 0}{lalign 16:lowGC} = {res:{ralign 9:0}}
{lalign 8:}{space 0}{lalign 16:groupCon} = {res:{ralign 9:1}}
{lalign 8:}{space 0}{lalign 16:otroethn} = {res:{ralign 9:.0160206}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:mestizo} = {res:{ralign 9:.549802}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:incum_voter} = {res:{ralign 9:.362136}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:cp6r} = {res:{ralign 9:1.411303}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:edr} = {res:{ralign 9:1.9054}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:quintiles} = {res:{ralign 9:3.050994}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:female} = {res:{ralign 9:.4594079}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:urban} = {res:{ralign 9:.7332114}} {txt:(mean)}
{lalign 8:48._at: }{space 0}{lalign 16:bgi_dec_fear_c~t} = {res:{ralign 9:6.2398}}
{lalign 8:}{space 0}{lalign 16:lowGC} = {res:{ralign 9:0}}
{lalign 8:}{space 0}{lalign 16:groupCon} = {res:{ralign 9:1}}
{lalign 8:}{space 0}{lalign 16:otroethn} = {res:{ralign 9:.0160206}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:mestizo} = {res:{ralign 9:.549802}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:incum_voter} = {res:{ralign 9:.362136}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:cp6r} = {res:{ralign 9:1.411303}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:edr} = {res:{ralign 9:1.9054}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:quintiles} = {res:{ralign 9:3.050994}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:female} = {res:{ralign 9:.4594079}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:urban} = {res:{ralign 9:.7332114}} {txt:(mean)}
{lalign 8:49._at: }{space 0}{lalign 16:bgi_dec_fear_c~t} = {res:{ralign 9:6.7398}}
{lalign 8:}{space 0}{lalign 16:lowGC} = {res:{ralign 9:0}}
{lalign 8:}{space 0}{lalign 16:groupCon} = {res:{ralign 9:1}}
{lalign 8:}{space 0}{lalign 16:otroethn} = {res:{ralign 9:.0160206}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:mestizo} = {res:{ralign 9:.549802}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:incum_voter} = {res:{ralign 9:.362136}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:cp6r} = {res:{ralign 9:1.411303}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:edr} = {res:{ralign 9:1.9054}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:quintiles} = {res:{ralign 9:3.050994}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:female} = {res:{ralign 9:.4594079}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:urban} = {res:{ralign 9:.7332114}} {txt:(mean)}
{lalign 8:50._at: }{space 0}{lalign 16:bgi_dec_fear_c~t} = {res:{ralign 9:7.2398}}
{lalign 8:}{space 0}{lalign 16:lowGC} = {res:{ralign 9:0}}
{lalign 8:}{space 0}{lalign 16:groupCon} = {res:{ralign 9:1}}
{lalign 8:}{space 0}{lalign 16:otroethn} = {res:{ralign 9:.0160206}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:mestizo} = {res:{ralign 9:.549802}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:incum_voter} = {res:{ralign 9:.362136}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:cp6r} = {res:{ralign 9:1.411303}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:edr} = {res:{ralign 9:1.9054}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:quintiles} = {res:{ralign 9:3.050994}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:female} = {res:{ralign 9:.4594079}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:urban} = {res:{ralign 9:.7332114}} {txt:(mean)}
{lalign 8:51._at: }{space 0}{lalign 16:bgi_dec_fear_c~t} = {res:{ralign 9:7.7398}}
{lalign 8:}{space 0}{lalign 16:lowGC} = {res:{ralign 9:0}}
{lalign 8:}{space 0}{lalign 16:groupCon} = {res:{ralign 9:1}}
{lalign 8:}{space 0}{lalign 16:otroethn} = {res:{ralign 9:.0160206}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:mestizo} = {res:{ralign 9:.549802}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:incum_voter} = {res:{ralign 9:.362136}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:cp6r} = {res:{ralign 9:1.411303}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:edr} = {res:{ralign 9:1.9054}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:quintiles} = {res:{ralign 9:3.050994}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:female} = {res:{ralign 9:.4594079}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:urban} = {res:{ralign 9:.7332114}} {txt:(mean)}
{lalign 8:52._at: }{space 0}{lalign 16:bgi_dec_fear_c~t} = {res:{ralign 9:8.2398}}
{lalign 8:}{space 0}{lalign 16:lowGC} = {res:{ralign 9:0}}
{lalign 8:}{space 0}{lalign 16:groupCon} = {res:{ralign 9:1}}
{lalign 8:}{space 0}{lalign 16:otroethn} = {res:{ralign 9:.0160206}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:mestizo} = {res:{ralign 9:.549802}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:incum_voter} = {res:{ralign 9:.362136}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:cp6r} = {res:{ralign 9:1.411303}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:edr} = {res:{ralign 9:1.9054}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:quintiles} = {res:{ralign 9:3.050994}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:female} = {res:{ralign 9:.4594079}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:urban} = {res:{ralign 9:.7332114}} {txt:(mean)}
{lalign 8:53._at: }{space 0}{lalign 16:bgi_dec_fear_c~t} = {res:{ralign 9:8.7398}}
{lalign 8:}{space 0}{lalign 16:lowGC} = {res:{ralign 9:0}}
{lalign 8:}{space 0}{lalign 16:groupCon} = {res:{ralign 9:1}}
{lalign 8:}{space 0}{lalign 16:otroethn} = {res:{ralign 9:.0160206}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:mestizo} = {res:{ralign 9:.549802}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:incum_voter} = {res:{ralign 9:.362136}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:cp6r} = {res:{ralign 9:1.411303}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:edr} = {res:{ralign 9:1.9054}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:quintiles} = {res:{ralign 9:3.050994}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:female} = {res:{ralign 9:.4594079}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:urban} = {res:{ralign 9:.7332114}} {txt:(mean)}
{lalign 8:54._at: }{space 0}{lalign 16:bgi_dec_fear_c~t} = {res:{ralign 9:9.2398}}
{lalign 8:}{space 0}{lalign 16:lowGC} = {res:{ralign 9:0}}
{lalign 8:}{space 0}{lalign 16:groupCon} = {res:{ralign 9:1}}
{lalign 8:}{space 0}{lalign 16:otroethn} = {res:{ralign 9:.0160206}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:mestizo} = {res:{ralign 9:.549802}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:incum_voter} = {res:{ralign 9:.362136}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:cp6r} = {res:{ralign 9:1.411303}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:edr} = {res:{ralign 9:1.9054}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:quintiles} = {res:{ralign 9:3.050994}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:female} = {res:{ralign 9:.4594079}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:urban} = {res:{ralign 9:.7332114}} {txt:(mean)}

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{txt}{space 9}17  {c |}{col 14}{res}{space 2} 4.861507{col 26}{space 2} .0721327{col 37}{space 1}   67.40{col 46}{space 3}0.000{col 54}{space 4}  4.72013{col 67}{space 3} 5.002885
{txt}{space 9}18  {c |}{col 14}{res}{space 2} 4.823864{col 26}{space 2} .0772071{col 37}{space 1}   62.48{col 46}{space 3}0.000{col 54}{space 4} 4.672541{col 67}{space 3} 4.975187
{txt}{space 9}19  {c |}{col 14}{res}{space 2} 4.786221{col 26}{space 2} .0829881{col 37}{space 1}   57.67{col 46}{space 3}0.000{col 54}{space 4} 4.623567{col 67}{space 3} 4.948875
{txt}{space 9}20  {c |}{col 14}{res}{space 2} 4.748578{col 26}{space 2} .0893387{col 37}{space 1}   53.15{col 46}{space 3}0.000{col 54}{space 4} 4.573478{col 67}{space 3} 4.923679
{txt}{space 9}21  {c |}{col 14}{res}{space 2} 4.710935{col 26}{space 2} .0961461{col 37}{space 1}   49.00{col 46}{space 3}0.000{col 54}{space 4} 4.522492{col 67}{space 3} 4.899378
{txt}{space 9}22  {c |}{col 14}{res}{space 2} 4.673292{col 26}{space 2}   .10332{col 37}{space 1}   45.23{col 46}{space 3}0.000{col 54}{space 4} 4.470789{col 67}{space 3} 4.875796
{txt}{space 9}23  {c |}{col 14}{res}{space 2} 4.635649{col 26}{space 2} .1107892{col 37}{space 1}   41.84{col 46}{space 3}0.000{col 54}{space 4} 4.418506{col 67}{space 3} 4.852792
{txt}{space 9}24  {c |}{col 14}{res}{space 2} 4.598006{col 26}{space 2}  .118498{col 37}{space 1}   38.80{col 46}{space 3}0.000{col 54}{space 4} 4.365755{col 67}{space 3} 4.830258
{txt}{space 9}25  {c |}{col 14}{res}{space 2} 4.560363{col 26}{space 2} .1264025{col 37}{space 1}   36.08{col 46}{space 3}0.000{col 54}{space 4} 4.312619{col 67}{space 3} 4.808108
{txt}{space 9}26  {c |}{col 14}{res}{space 2}  4.52272{col 26}{space 2} .1344681{col 37}{space 1}   33.63{col 46}{space 3}0.000{col 54}{space 4} 4.259168{col 67}{space 3} 4.786273
{txt}{space 9}27  {c |}{col 14}{res}{space 2} 4.485078{col 26}{space 2} .1426677{col 37}{space 1}   31.44{col 46}{space 3}0.000{col 54}{space 4} 4.205454{col 67}{space 3} 4.764701
{txt}{space 9}28  {c |}{col 14}{res}{space 2} 5.334731{col 26}{space 2}  .203751{col 37}{space 1}   26.18{col 46}{space 3}0.000{col 54}{space 4} 4.935386{col 67}{space 3} 5.734076
{txt}{space 9}29  {c |}{col 14}{res}{space 2} 5.325776{col 26}{space 2}  .191343{col 37}{space 1}   27.83{col 46}{space 3}0.000{col 54}{space 4} 4.950751{col 67}{space 3} 5.700802
{txt}{space 9}30  {c |}{col 14}{res}{space 2} 5.316821{col 26}{space 2} .1791891{col 37}{space 1}   29.67{col 46}{space 3}0.000{col 54}{space 4} 4.965617{col 67}{space 3} 5.668026
{txt}{space 9}31  {c |}{col 14}{res}{space 2} 5.307867{col 26}{space 2} .1673445{col 37}{space 1}   31.72{col 46}{space 3}0.000{col 54}{space 4} 4.979878{col 67}{space 3} 5.635856
{txt}{space 9}32  {c |}{col 14}{res}{space 2} 5.298912{col 26}{space 2} .1558799{col 37}{space 1}   33.99{col 46}{space 3}0.000{col 54}{space 4} 4.993393{col 67}{space 3} 5.604431
{txt}{space 9}33  {c |}{col 14}{res}{space 2} 5.289957{col 26}{space 2} .1448854{col 37}{space 1}   36.51{col 46}{space 3}0.000{col 54}{space 4} 5.005987{col 67}{space 3} 5.573928
{txt}{space 9}34  {c |}{col 14}{res}{space 2} 5.281003{col 26}{space 2} .1344765{col 37}{space 1}   39.27{col 46}{space 3}0.000{col 54}{space 4} 5.017434{col 67}{space 3} 5.544572
{txt}{space 9}35  {c |}{col 14}{res}{space 2} 5.272048{col 26}{space 2} .1247996{col 37}{space 1}   42.24{col 46}{space 3}0.000{col 54}{space 4} 5.027445{col 67}{space 3} 5.516651
{txt}{space 9}36  {c |}{col 14}{res}{space 2} 5.263093{col 26}{space 2} .1160382{col 37}{space 1}   45.36{col 46}{space 3}0.000{col 54}{space 4} 5.035663{col 67}{space 3} 5.490524
{txt}{space 9}37  {c |}{col 14}{res}{space 2} 5.254139{col 26}{space 2} .1084144{col 37}{space 1}   48.46{col 46}{space 3}0.000{col 54}{space 4}  5.04165{col 67}{space 3} 5.466627
{txt}{space 9}38  {c |}{col 14}{res}{space 2} 5.245184{col 26}{space 2} .1021831{col 37}{space 1}   51.33{col 46}{space 3}0.000{col 54}{space 4} 5.044909{col 67}{space 3} 5.445459
{txt}{space 9}39  {c |}{col 14}{res}{space 2} 5.236229{col 26}{space 2} .0976113{col 37}{space 1}   53.64{col 46}{space 3}0.000{col 54}{space 4} 5.044914{col 67}{space 3} 5.427544
{txt}{space 9}40  {c |}{col 14}{res}{space 2} 5.227274{col 26}{space 2} .0949392{col 37}{space 1}   55.06{col 46}{space 3}0.000{col 54}{space 4} 5.041197{col 67}{space 3} 5.413352
{txt}{space 9}41  {c |}{col 14}{res}{space 2}  5.21832{col 26}{space 2} .0943283{col 37}{space 1}   55.32{col 46}{space 3}0.000{col 54}{space 4}  5.03344{col 67}{space 3}   5.4032
{txt}{space 9}42  {c |}{col 14}{res}{space 2} 5.209365{col 26}{space 2} .0958181{col 37}{space 1}   54.37{col 46}{space 3}0.000{col 54}{space 4} 5.021565{col 67}{space 3} 5.397165
{txt}{space 9}43  {c |}{col 14}{res}{space 2}  5.20041{col 26}{space 2} .0993139{col 37}{space 1}   52.36{col 46}{space 3}0.000{col 54}{space 4} 5.005759{col 67}{space 3} 5.395062
{txt}{space 9}44  {c |}{col 14}{res}{space 2} 5.191456{col 26}{space 2} .1046151{col 37}{space 1}   49.62{col 46}{space 3}0.000{col 54}{space 4} 4.986414{col 67}{space 3} 5.396497
{txt}{space 9}45  {c |}{col 14}{res}{space 2} 5.182501{col 26}{space 2} .1114641{col 37}{space 1}   46.49{col 46}{space 3}0.000{col 54}{space 4} 4.964035{col 67}{space 3} 5.400967
{txt}{space 9}46  {c |}{col 14}{res}{space 2} 5.173546{col 26}{space 2} .1195955{col 37}{space 1}   43.26{col 46}{space 3}0.000{col 54}{space 4} 4.939143{col 67}{space 3} 5.407949
{txt}{space 9}47  {c |}{col 14}{res}{space 2} 5.164591{col 26}{space 2} .1287665{col 37}{space 1}   40.11{col 46}{space 3}0.000{col 54}{space 4} 4.912214{col 67}{space 3} 5.416969
{txt}{space 9}48  {c |}{col 14}{res}{space 2} 5.155637{col 26}{space 2} .1387711{col 37}{space 1}   37.15{col 46}{space 3}0.000{col 54}{space 4}  4.88365{col 67}{space 3} 5.427623
{txt}{space 9}49  {c |}{col 14}{res}{space 2} 5.146682{col 26}{space 2} .1494421{col 37}{space 1}   34.44{col 46}{space 3}0.000{col 54}{space 4} 4.853781{col 67}{space 3} 5.439583
{txt}{space 9}50  {c |}{col 14}{res}{space 2} 5.137727{col 26}{space 2} .1606466{col 37}{space 1}   31.98{col 46}{space 3}0.000{col 54}{space 4} 4.822866{col 67}{space 3} 5.452589
{txt}{space 9}51  {c |}{col 14}{res}{space 2} 5.128773{col 26}{space 2} .1722807{col 37}{space 1}   29.77{col 46}{space 3}0.000{col 54}{space 4} 4.791109{col 67}{space 3} 5.466437
{txt}{space 9}52  {c |}{col 14}{res}{space 2} 5.119818{col 26}{space 2} .1842629{col 37}{space 1}   27.79{col 46}{space 3}0.000{col 54}{space 4} 4.758669{col 67}{space 3} 5.480967
{txt}{space 9}53  {c |}{col 14}{res}{space 2} 5.110863{col 26}{space 2} .1965296{col 37}{space 1}   26.01{col 46}{space 3}0.000{col 54}{space 4} 4.725672{col 67}{space 3} 5.496054
{txt}{space 9}54  {c |}{col 14}{res}{space 2} 5.101909{col 26}{space 2} .2090307{col 37}{space 1}   24.41{col 46}{space 3}0.000{col 54}{space 4} 4.692216{col 67}{space 3} 5.511601
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. est store groupCon1
{txt}
{com}. sum bgi_dec_fear_cent if groupCon~=.

{txt}    Variable {c |}        Obs        Mean    Std. dev.       Min        Max
{hline 13}{c +}{hline 57}
bgi_dec_fe~t {c |}{res}     23,056    1.398887     3.87253    -3.7602   9.444098
{txt}
{com}. local minbgi=round(r(min))
{txt}
{com}. local maxbgi=round(r(max))
{txt}
{com}. estimates restore groupCon1
{txt}(results {stata estimates replay groupCon1:groupCon1} are active now)

{com}. capture drop where
{txt}
{com}. capture drop pipe
{txt}
{com}. gen where=4.4
{txt}
{com}. gen pipe="|"
{txt}
{com}. marginsplot, ///
>         plotopts(recast(line) mcolor(black) lcolor(black)) ///
>         plot1opts(lpattern(dash)) plot2opts(lpattern(solid)) ///
>         noci ///
>         title("") xtitle("Between-Group Inequality (mean-centered)") xscale(range(`minbgi' `maxbgi')) ///
>         xlabel(`minbgi'(1)`maxbgi') ///
>         ylabel(4.4(.2)5.6) ///
>         ytitle("Predicted Support for Democracy") ///
>         legend(order(1 "Low Group" "Consciousness" 2 "High Group" "Consciousness")) ///
>         legend(justification(center)) ///
>         graphregion(color(gs15)) scale(1.2)     ///
>         addplot(scatter where bgi_dec_fear_cent if groupCon~=., ms(none) mlabel(pipe) mlabcolor(black) mlabpos(0) /// 
>         legend(order(1 "Low Group" "Consciousness" 2 "High Group" "Consciousness")) ///
>         legend(justification(center)))
{res}
{text}{p 0 0 2}Variables that uniquely identify margins: {bf:bgi_dec_fear_cent _atopt}{p_end}
{text}Multiple {bf:at()} options specified:
{text}{p 6 10 2}_atoption=1: (mean) _factor (mean) _continuous bgi_dec_fear_cent=(-3.760199785232544(.5)9.444098472595215) lowGC=(1) groupCon=(0){p_end}
{text}{p 6 10 2}_atoption=2: (mean) _factor (mean) _continuous bgi_dec_fear_cent=(-3.760199785232544(.5)9.444098472595215) lowGC=(0) groupCon=(1){p_end}
{res}{txt}
{com}. graph save "groupCon1PoP.gph", replace
{res}{txt}file {bf:groupCon1PoP.gph} saved

{com}. graph export "groupCon1PoP.pdf", as(pdf) replace
{txt}{p 0 4 2}
file {bf}
groupCon1PoP.pdf{rm}
saved as
PDF
format
{p_end}

{com}. 
. 
. mixed ing4 c.v2pepwrsoc_rev##(c.lowGC c.groupCon) mestizo otroethn incum_voter cp6r edr quintile female urban [pweight=weight1500] || country_year: lowGC groupCon, cov(independent)
{res}
{txt}Obtaining starting values by EM ...
{res}
{txt}Performing gradient-based optimization: {res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-35028.507}  
Iteration 1:{space 3}log pseudolikelihood = {res:-35027.485}  
Iteration 2:{space 3}log pseudolikelihood = {res:-35027.473}  
Iteration 3:{space 3}log pseudolikelihood = {res:-35027.473}  
{res}
{txt}Computing standard errors ...
{res}
{txt}Mixed-effects regression{col 49}Number of obs{col 67}={col 69}{res}    21,130
{txt}Group variable: {res}country_year{col 49}{txt}Number of groups{col 67}={col 69}{res}        23
{txt}{col 49}Obs per group:
{col 63}min{col 67}={col 69}{res}       543
{txt}{col 63}avg{col 67}={col 69}{res}     918.7
{txt}{col 63}max{col 67}={col 69}{res}     2,407
{col 49}{txt}Wald chi2({res}13{txt}){col 67}={col 70}{res}   396.34
{txt}Log pseudolikelihood = {res}-35027.473{col 49}{txt}Prob > chi2{col 67}={col 73}{res}0.0000

{txt}{ralign 93:(Std. err. adjusted for {res:23} clusters in {res:country_year})}
{hline 28}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 29}{c |}{col 41}    Robust
{col 1}                       ing4{col 29}{c |} Coefficient{col 41}  std. err.{col 53}      z{col 61}   P>|z|{col 69}     [95% con{col 82}f. interval]
{hline 28}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 13}v2pepwrsoc_rev {c |}{col 29}{res}{space 2}-.2911135{col 41}{space 2} .0991559{col 52}{space 1}   -2.94{col 61}{space 3}0.003{col 69}{space 4}-.4854555{col 82}{space 3}-.0967714
{txt}{space 22}lowGC {c |}{col 29}{res}{space 2}-.1517378{col 41}{space 2}  .054419{col 52}{space 1}   -2.79{col 61}{space 3}0.005{col 69}{space 4}-.2583972{col 82}{space 3}-.0450784
{txt}{space 19}groupCon {c |}{col 29}{res}{space 2} .2560216{col 41}{space 2} .0383584{col 52}{space 1}    6.67{col 61}{space 3}0.000{col 69}{space 4} .1808405{col 82}{space 3} .3312027
{txt}{space 27} {c |}
{space 3}c.v2pepwrsoc_rev#c.lowGC {c |}{col 29}{res}{space 2}  -.08206{col 41}{space 2} .0364068{col 52}{space 1}   -2.25{col 61}{space 3}0.024{col 69}{space 4}-.1534161{col 82}{space 3} -.010704
{txt}{space 27} {c |}
c.v2pepwrsoc_rev#c.groupCon {c |}{col 29}{res}{space 2} .2132036{col 41}{space 2} .0314825{col 52}{space 1}    6.77{col 61}{space 3}0.000{col 69}{space 4} .1514991{col 82}{space 3} .2749082
{txt}{space 27} {c |}
{space 20}mestizo {c |}{col 29}{res}{space 2}-.0822281{col 41}{space 2} .0454875{col 52}{space 1}   -1.81{col 61}{space 3}0.071{col 69}{space 4}-.1713819{col 82}{space 3} .0069257
{txt}{space 19}otroethn {c |}{col 29}{res}{space 2}-.1527716{col 41}{space 2} .1490733{col 52}{space 1}   -1.02{col 61}{space 3}0.305{col 69}{space 4}-.4449498{col 82}{space 3} .1394067
{txt}{space 16}incum_voter {c |}{col 29}{res}{space 2} .1765972{col 41}{space 2} .0298761{col 52}{space 1}    5.91{col 61}{space 3}0.000{col 69}{space 4} .1180411{col 82}{space 3} .2351533
{txt}{space 23}cp6r {c |}{col 29}{res}{space 2} .0216491{col 41}{space 2} .0225893{col 52}{space 1}    0.96{col 61}{space 3}0.338{col 69}{space 4}-.0226252{col 82}{space 3} .0659234
{txt}{space 24}edr {c |}{col 29}{res}{space 2} .0719661{col 41}{space 2} .0330239{col 52}{space 1}    2.18{col 61}{space 3}0.029{col 69}{space 4} .0072405{col 82}{space 3} .1366918
{txt}{space 18}quintiles {c |}{col 29}{res}{space 2} .0620191{col 41}{space 2} .0144402{col 52}{space 1}    4.29{col 61}{space 3}0.000{col 69}{space 4} .0337169{col 82}{space 3} .0903213
{txt}{space 21}female {c |}{col 29}{res}{space 2}-.0870866{col 41}{space 2} .0320578{col 52}{space 1}   -2.72{col 61}{space 3}0.007{col 69}{space 4}-.1499188{col 82}{space 3}-.0242544
{txt}{space 22}urban {c |}{col 29}{res}{space 2}-.0635305{col 41}{space 2}  .037504{col 52}{space 1}   -1.69{col 61}{space 3}0.090{col 69}{space 4} -.137037{col 82}{space 3} .0099761
{txt}{space 22}_cons {c |}{col 29}{res}{space 2} 4.669363{col 41}{space 2} .1661748{col 52}{space 1}   28.10{col 61}{space 3}0.000{col 69}{space 4} 4.343667{col 82}{space 3}  4.99506
{txt}{hline 28}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{txt}{hline 29}{c TT}{hline 48}
{col 30}{c |}{col 34}{col 46}Robust{col 63}
{col 3}Random-effects parameters{col 30}{c |}{col 34}Estimate{col 45}std. err.{col 59}[95% conf. interval]
{hline 29}{c +}{hline 48}
{res}country_year{txt}: Independent{col 30}{c |}
{space 18}var(lowGC) {c |}{res}{col 33} 2.85e-14{col 44} 3.14e-09{col 58}        0{col 70}        .
{txt}{space 15}var(groupCon) {c |}{res}{col 33} 3.20e-15{col 44} 4.33e-13{col 58} 2.5e-130{col 70} 4.1e+100
{txt}{space 18}var(_cons) {c |}{res}{col 33} .1182284{col 44} .0447028{col 58} .0563479{col 70} .2480652
{txt}{hline 29}{c +}{hline 48}
{col 16}var(Residual){col 30}{c |}{res}{col 33} 2.708572{col 44} .1157688{col 58} 2.490914{col 70}  2.94525
{txt}{hline 29}{c BT}{hline 48}

{p 0 9 2}Warning: Sampling weights were 
specified only at the first level 
in a multilevel model. If these weights are 
indicative of overall and not conditional 
inclusion probabilities, then 
{help mixed##sampling:results may be biased}.
{p_end}

{com}. estimates store model3b
{txt}
{com}. test c.v2pepwrsoc_rev#c.lowGC=c.v2pepwrsoc_rev#c.groupCon

{p 0 7}{space 1}{text:( 1)}{space 1} {res}[ing4]c.v2pepwrsoc_rev#c.lowGC - [ing4]c.v2pepwrsoc_rev#c.groupCon = 0{p_end}

{txt}{col 12}chi2(  1) ={res}   23.99
{txt}{col 10}Prob > chi2 =  {res}  0.0000
{txt}
{com}. sum v2pepwrsoc_rev if groupCon~=.

{txt}    Variable {c |}        Obs        Mean    Std. dev.       Min        Max
{hline 13}{c +}{hline 57}
v2pepwrsoc~v {c |}{res}     23,056   -.8525609    .7220934     -2.376       .627
{txt}
{com}. local minexcl=(r(min))
{txt}
{com}. local maxexcl=(r(max))
{txt}
{com}. estimates restore model3b
{txt}(results {stata estimates replay model3b:model3b} are active now)

{com}. margins, atmeans at(v2pepwrsoc_rev=(`minexcl'(.1)`maxexcl') lowGC=(1) groupCon=(0)) at(v2pepwrsoc_rev=(`minexcl'(.1)`maxexcl') lowGC=(0) groupCon=(1)) post
{res}
{txt}{col 1}Adjusted predictions{col 57}{lalign 13:Number of obs}{col 70} = {res}{ralign 6:21,130}
{txt}{col 1}Model VCE: {res:Robust}

{txt}{p2colset 1 13 13 2}{...}
{p2col:Expression:}{res:Linear prediction, fixed portion, predict()}{p_end}
{p2colreset}{...}
{lalign 8:1._at: }{space 0}{lalign 14:v2pepwrsoc_rev} = {res:{ralign 9:-2.376}}
{lalign 8:}{space 0}{lalign 14:lowGC} = {res:{ralign 9:1}}
{lalign 8:}{space 0}{lalign 14:groupCon} = {res:{ralign 9:0}}
{lalign 8:}{space 0}{lalign 14:mestizo} = {res:{ralign 9:.549802}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:otroethn} = {res:{ralign 9:.0160206}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:incum_voter} = {res:{ralign 9:.362136}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:cp6r} = {res:{ralign 9:1.411303}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:edr} = {res:{ralign 9:1.9054}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:quintiles} = {res:{ralign 9:3.050994}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:female} = {res:{ralign 9:.4594079}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:urban} = {res:{ralign 9:.7332114}} {txt:(mean)}
{lalign 8:2._at: }{space 0}{lalign 14:v2pepwrsoc_rev} = {res:{ralign 9:-2.276}}
{lalign 8:}{space 0}{lalign 14:lowGC} = {res:{ralign 9:1}}
{lalign 8:}{space 0}{lalign 14:groupCon} = {res:{ralign 9:0}}
{lalign 8:}{space 0}{lalign 14:mestizo} = {res:{ralign 9:.549802}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:otroethn} = {res:{ralign 9:.0160206}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:incum_voter} = {res:{ralign 9:.362136}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:cp6r} = {res:{ralign 9:1.411303}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:edr} = {res:{ralign 9:1.9054}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:quintiles} = {res:{ralign 9:3.050994}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:female} = {res:{ralign 9:.4594079}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:urban} = {res:{ralign 9:.7332114}} {txt:(mean)}
{lalign 8:3._at: }{space 0}{lalign 14:v2pepwrsoc_rev} = {res:{ralign 9:-2.176}}
{lalign 8:}{space 0}{lalign 14:lowGC} = {res:{ralign 9:1}}
{lalign 8:}{space 0}{lalign 14:groupCon} = {res:{ralign 9:0}}
{lalign 8:}{space 0}{lalign 14:mestizo} = {res:{ralign 9:.549802}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:otroethn} = {res:{ralign 9:.0160206}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:incum_voter} = {res:{ralign 9:.362136}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:cp6r} = {res:{ralign 9:1.411303}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:edr} = {res:{ralign 9:1.9054}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:quintiles} = {res:{ralign 9:3.050994}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:female} = {res:{ralign 9:.4594079}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:urban} = {res:{ralign 9:.7332114}} {txt:(mean)}
{lalign 8:4._at: }{space 0}{lalign 14:v2pepwrsoc_rev} = {res:{ralign 9:-2.076}}
{lalign 8:}{space 0}{lalign 14:lowGC} = {res:{ralign 9:1}}
{lalign 8:}{space 0}{lalign 14:groupCon} = {res:{ralign 9:0}}
{lalign 8:}{space 0}{lalign 14:mestizo} = {res:{ralign 9:.549802}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:otroethn} = {res:{ralign 9:.0160206}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:incum_voter} = {res:{ralign 9:.362136}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:cp6r} = {res:{ralign 9:1.411303}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:edr} = {res:{ralign 9:1.9054}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:quintiles} = {res:{ralign 9:3.050994}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:female} = {res:{ralign 9:.4594079}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:urban} = {res:{ralign 9:.7332114}} {txt:(mean)}
{lalign 8:5._at: }{space 0}{lalign 14:v2pepwrsoc_rev} = {res:{ralign 9:-1.976}}
{lalign 8:}{space 0}{lalign 14:lowGC} = {res:{ralign 9:1}}
{lalign 8:}{space 0}{lalign 14:groupCon} = {res:{ralign 9:0}}
{lalign 8:}{space 0}{lalign 14:mestizo} = {res:{ralign 9:.549802}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:otroethn} = {res:{ralign 9:.0160206}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:incum_voter} = {res:{ralign 9:.362136}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:cp6r} = {res:{ralign 9:1.411303}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:edr} = {res:{ralign 9:1.9054}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:quintiles} = {res:{ralign 9:3.050994}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:female} = {res:{ralign 9:.4594079}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:urban} = {res:{ralign 9:.7332114}} {txt:(mean)}
{lalign 8:6._at: }{space 0}{lalign 14:v2pepwrsoc_rev} = {res:{ralign 9:-1.876}}
{lalign 8:}{space 0}{lalign 14:lowGC} = {res:{ralign 9:1}}
{lalign 8:}{space 0}{lalign 14:groupCon} = {res:{ralign 9:0}}
{lalign 8:}{space 0}{lalign 14:mestizo} = {res:{ralign 9:.549802}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:otroethn} = {res:{ralign 9:.0160206}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:incum_voter} = {res:{ralign 9:.362136}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:cp6r} = {res:{ralign 9:1.411303}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:edr} = {res:{ralign 9:1.9054}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:quintiles} = {res:{ralign 9:3.050994}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:female} = {res:{ralign 9:.4594079}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:urban} = {res:{ralign 9:.7332114}} {txt:(mean)}
{lalign 8:7._at: }{space 0}{lalign 14:v2pepwrsoc_rev} = {res:{ralign 9:-1.776}}
{lalign 8:}{space 0}{lalign 14:lowGC} = {res:{ralign 9:1}}
{lalign 8:}{space 0}{lalign 14:groupCon} = {res:{ralign 9:0}}
{lalign 8:}{space 0}{lalign 14:mestizo} = {res:{ralign 9:.549802}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:otroethn} = {res:{ralign 9:.0160206}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:incum_voter} = {res:{ralign 9:.362136}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:cp6r} = {res:{ralign 9:1.411303}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:edr} = {res:{ralign 9:1.9054}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:quintiles} = {res:{ralign 9:3.050994}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:female} = {res:{ralign 9:.4594079}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:urban} = {res:{ralign 9:.7332114}} {txt:(mean)}
{lalign 8:8._at: }{space 0}{lalign 14:v2pepwrsoc_rev} = {res:{ralign 9:-1.676}}
{lalign 8:}{space 0}{lalign 14:lowGC} = {res:{ralign 9:1}}
{lalign 8:}{space 0}{lalign 14:groupCon} = {res:{ralign 9:0}}
{lalign 8:}{space 0}{lalign 14:mestizo} = {res:{ralign 9:.549802}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:otroethn} = {res:{ralign 9:.0160206}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:incum_voter} = {res:{ralign 9:.362136}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:cp6r} = {res:{ralign 9:1.411303}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:edr} = {res:{ralign 9:1.9054}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:quintiles} = {res:{ralign 9:3.050994}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:female} = {res:{ralign 9:.4594079}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:urban} = {res:{ralign 9:.7332114}} {txt:(mean)}
{lalign 8:9._at: }{space 0}{lalign 14:v2pepwrsoc_rev} = {res:{ralign 9:-1.576}}
{lalign 8:}{space 0}{lalign 14:lowGC} = {res:{ralign 9:1}}
{lalign 8:}{space 0}{lalign 14:groupCon} = {res:{ralign 9:0}}
{lalign 8:}{space 0}{lalign 14:mestizo} = {res:{ralign 9:.549802}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:otroethn} = {res:{ralign 9:.0160206}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:incum_voter} = {res:{ralign 9:.362136}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:cp6r} = {res:{ralign 9:1.411303}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:edr} = {res:{ralign 9:1.9054}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:quintiles} = {res:{ralign 9:3.050994}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:female} = {res:{ralign 9:.4594079}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:urban} = {res:{ralign 9:.7332114}} {txt:(mean)}
{lalign 8:10._at: }{space 0}{lalign 14:v2pepwrsoc_rev} = {res:{ralign 9:-1.476}}
{lalign 8:}{space 0}{lalign 14:lowGC} = {res:{ralign 9:1}}
{lalign 8:}{space 0}{lalign 14:groupCon} = {res:{ralign 9:0}}
{lalign 8:}{space 0}{lalign 14:mestizo} = {res:{ralign 9:.549802}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:otroethn} = {res:{ralign 9:.0160206}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:incum_voter} = {res:{ralign 9:.362136}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:cp6r} = {res:{ralign 9:1.411303}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:edr} = {res:{ralign 9:1.9054}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:quintiles} = {res:{ralign 9:3.050994}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:female} = {res:{ralign 9:.4594079}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:urban} = {res:{ralign 9:.7332114}} {txt:(mean)}
{lalign 8:11._at: }{space 0}{lalign 14:v2pepwrsoc_rev} = {res:{ralign 9:-1.376}}
{lalign 8:}{space 0}{lalign 14:lowGC} = {res:{ralign 9:1}}
{lalign 8:}{space 0}{lalign 14:groupCon} = {res:{ralign 9:0}}
{lalign 8:}{space 0}{lalign 14:mestizo} = {res:{ralign 9:.549802}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:otroethn} = {res:{ralign 9:.0160206}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:incum_voter} = {res:{ralign 9:.362136}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:cp6r} = {res:{ralign 9:1.411303}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:edr} = {res:{ralign 9:1.9054}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:quintiles} = {res:{ralign 9:3.050994}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:female} = {res:{ralign 9:.4594079}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:urban} = {res:{ralign 9:.7332114}} {txt:(mean)}
{lalign 8:12._at: }{space 0}{lalign 14:v2pepwrsoc_rev} = {res:{ralign 9:-1.276}}
{lalign 8:}{space 0}{lalign 14:lowGC} = {res:{ralign 9:1}}
{lalign 8:}{space 0}{lalign 14:groupCon} = {res:{ralign 9:0}}
{lalign 8:}{space 0}{lalign 14:mestizo} = {res:{ralign 9:.549802}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:otroethn} = {res:{ralign 9:.0160206}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:incum_voter} = {res:{ralign 9:.362136}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:cp6r} = {res:{ralign 9:1.411303}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:edr} = {res:{ralign 9:1.9054}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:quintiles} = {res:{ralign 9:3.050994}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:female} = {res:{ralign 9:.4594079}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:urban} = {res:{ralign 9:.7332114}} {txt:(mean)}
{lalign 8:13._at: }{space 0}{lalign 14:v2pepwrsoc_rev} = {res:{ralign 9:-1.176}}
{lalign 8:}{space 0}{lalign 14:lowGC} = {res:{ralign 9:1}}
{lalign 8:}{space 0}{lalign 14:groupCon} = {res:{ralign 9:0}}
{lalign 8:}{space 0}{lalign 14:mestizo} = {res:{ralign 9:.549802}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:otroethn} = {res:{ralign 9:.0160206}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:incum_voter} = {res:{ralign 9:.362136}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:cp6r} = {res:{ralign 9:1.411303}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:edr} = {res:{ralign 9:1.9054}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:quintiles} = {res:{ralign 9:3.050994}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:female} = {res:{ralign 9:.4594079}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:urban} = {res:{ralign 9:.7332114}} {txt:(mean)}
{lalign 8:14._at: }{space 0}{lalign 14:v2pepwrsoc_rev} = {res:{ralign 9:-1.076}}
{lalign 8:}{space 0}{lalign 14:lowGC} = {res:{ralign 9:1}}
{lalign 8:}{space 0}{lalign 14:groupCon} = {res:{ralign 9:0}}
{lalign 8:}{space 0}{lalign 14:mestizo} = {res:{ralign 9:.549802}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:otroethn} = {res:{ralign 9:.0160206}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:incum_voter} = {res:{ralign 9:.362136}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:cp6r} = {res:{ralign 9:1.411303}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:edr} = {res:{ralign 9:1.9054}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:quintiles} = {res:{ralign 9:3.050994}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:female} = {res:{ralign 9:.4594079}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:urban} = {res:{ralign 9:.7332114}} {txt:(mean)}
{lalign 8:15._at: }{space 0}{lalign 14:v2pepwrsoc_rev} = {res:{ralign 9:-.9759999}}
{lalign 8:}{space 0}{lalign 14:lowGC} = {res:{ralign 9:1}}
{lalign 8:}{space 0}{lalign 14:groupCon} = {res:{ralign 9:0}}
{lalign 8:}{space 0}{lalign 14:mestizo} = {res:{ralign 9:.549802}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:otroethn} = {res:{ralign 9:.0160206}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:incum_voter} = {res:{ralign 9:.362136}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:cp6r} = {res:{ralign 9:1.411303}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:edr} = {res:{ralign 9:1.9054}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:quintiles} = {res:{ralign 9:3.050994}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:female} = {res:{ralign 9:.4594079}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:urban} = {res:{ralign 9:.7332114}} {txt:(mean)}
{lalign 8:16._at: }{space 0}{lalign 14:v2pepwrsoc_rev} = {res:{ralign 9:-.8759999}}
{lalign 8:}{space 0}{lalign 14:lowGC} = {res:{ralign 9:1}}
{lalign 8:}{space 0}{lalign 14:groupCon} = {res:{ralign 9:0}}
{lalign 8:}{space 0}{lalign 14:mestizo} = {res:{ralign 9:.549802}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:otroethn} = {res:{ralign 9:.0160206}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:incum_voter} = {res:{ralign 9:.362136}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:cp6r} = {res:{ralign 9:1.411303}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:edr} = {res:{ralign 9:1.9054}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:quintiles} = {res:{ralign 9:3.050994}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:female} = {res:{ralign 9:.4594079}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:urban} = {res:{ralign 9:.7332114}} {txt:(mean)}
{lalign 8:17._at: }{space 0}{lalign 14:v2pepwrsoc_rev} = {res:{ralign 9:-.7759999}}
{lalign 8:}{space 0}{lalign 14:lowGC} = {res:{ralign 9:1}}
{lalign 8:}{space 0}{lalign 14:groupCon} = {res:{ralign 9:0}}
{lalign 8:}{space 0}{lalign 14:mestizo} = {res:{ralign 9:.549802}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:otroethn} = {res:{ralign 9:.0160206}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:incum_voter} = {res:{ralign 9:.362136}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:cp6r} = {res:{ralign 9:1.411303}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:edr} = {res:{ralign 9:1.9054}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:quintiles} = {res:{ralign 9:3.050994}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:female} = {res:{ralign 9:.4594079}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:urban} = {res:{ralign 9:.7332114}} {txt:(mean)}
{lalign 8:18._at: }{space 0}{lalign 14:v2pepwrsoc_rev} = {res:{ralign 9:-.6759999}}
{lalign 8:}{space 0}{lalign 14:lowGC} = {res:{ralign 9:1}}
{lalign 8:}{space 0}{lalign 14:groupCon} = {res:{ralign 9:0}}
{lalign 8:}{space 0}{lalign 14:mestizo} = {res:{ralign 9:.549802}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:otroethn} = {res:{ralign 9:.0160206}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:incum_voter} = {res:{ralign 9:.362136}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:cp6r} = {res:{ralign 9:1.411303}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:edr} = {res:{ralign 9:1.9054}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:quintiles} = {res:{ralign 9:3.050994}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:female} = {res:{ralign 9:.4594079}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:urban} = {res:{ralign 9:.7332114}} {txt:(mean)}
{lalign 8:19._at: }{space 0}{lalign 14:v2pepwrsoc_rev} = {res:{ralign 9:-.5759999}}
{lalign 8:}{space 0}{lalign 14:lowGC} = {res:{ralign 9:1}}
{lalign 8:}{space 0}{lalign 14:groupCon} = {res:{ralign 9:0}}
{lalign 8:}{space 0}{lalign 14:mestizo} = {res:{ralign 9:.549802}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:otroethn} = {res:{ralign 9:.0160206}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:incum_voter} = {res:{ralign 9:.362136}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:cp6r} = {res:{ralign 9:1.411303}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:edr} = {res:{ralign 9:1.9054}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:quintiles} = {res:{ralign 9:3.050994}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:female} = {res:{ralign 9:.4594079}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:urban} = {res:{ralign 9:.7332114}} {txt:(mean)}
{lalign 8:20._at: }{space 0}{lalign 14:v2pepwrsoc_rev} = {res:{ralign 9:-.4759999}}
{lalign 8:}{space 0}{lalign 14:lowGC} = {res:{ralign 9:1}}
{lalign 8:}{space 0}{lalign 14:groupCon} = {res:{ralign 9:0}}
{lalign 8:}{space 0}{lalign 14:mestizo} = {res:{ralign 9:.549802}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:otroethn} = {res:{ralign 9:.0160206}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:incum_voter} = {res:{ralign 9:.362136}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:cp6r} = {res:{ralign 9:1.411303}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:edr} = {res:{ralign 9:1.9054}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:quintiles} = {res:{ralign 9:3.050994}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:female} = {res:{ralign 9:.4594079}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:urban} = {res:{ralign 9:.7332114}} {txt:(mean)}
{lalign 8:21._at: }{space 0}{lalign 14:v2pepwrsoc_rev} = {res:{ralign 9:-.3759999}}
{lalign 8:}{space 0}{lalign 14:lowGC} = {res:{ralign 9:1}}
{lalign 8:}{space 0}{lalign 14:groupCon} = {res:{ralign 9:0}}
{lalign 8:}{space 0}{lalign 14:mestizo} = {res:{ralign 9:.549802}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:otroethn} = {res:{ralign 9:.0160206}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:incum_voter} = {res:{ralign 9:.362136}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:cp6r} = {res:{ralign 9:1.411303}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:edr} = {res:{ralign 9:1.9054}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:quintiles} = {res:{ralign 9:3.050994}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:female} = {res:{ralign 9:.4594079}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:urban} = {res:{ralign 9:.7332114}} {txt:(mean)}
{lalign 8:22._at: }{space 0}{lalign 14:v2pepwrsoc_rev} = {res:{ralign 9:-.2759999}}
{lalign 8:}{space 0}{lalign 14:lowGC} = {res:{ralign 9:1}}
{lalign 8:}{space 0}{lalign 14:groupCon} = {res:{ralign 9:0}}
{lalign 8:}{space 0}{lalign 14:mestizo} = {res:{ralign 9:.549802}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:otroethn} = {res:{ralign 9:.0160206}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:incum_voter} = {res:{ralign 9:.362136}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:cp6r} = {res:{ralign 9:1.411303}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:edr} = {res:{ralign 9:1.9054}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:quintiles} = {res:{ralign 9:3.050994}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:female} = {res:{ralign 9:.4594079}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:urban} = {res:{ralign 9:.7332114}} {txt:(mean)}
{lalign 8:23._at: }{space 0}{lalign 14:v2pepwrsoc_rev} = {res:{ralign 9:-.1759999}}
{lalign 8:}{space 0}{lalign 14:lowGC} = {res:{ralign 9:1}}
{lalign 8:}{space 0}{lalign 14:groupCon} = {res:{ralign 9:0}}
{lalign 8:}{space 0}{lalign 14:mestizo} = {res:{ralign 9:.549802}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:otroethn} = {res:{ralign 9:.0160206}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:incum_voter} = {res:{ralign 9:.362136}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:cp6r} = {res:{ralign 9:1.411303}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:edr} = {res:{ralign 9:1.9054}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:quintiles} = {res:{ralign 9:3.050994}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:female} = {res:{ralign 9:.4594079}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:urban} = {res:{ralign 9:.7332114}} {txt:(mean)}
{lalign 8:24._at: }{space 0}{lalign 14:v2pepwrsoc_rev} = {res:{ralign 9:-.0759999}}
{lalign 8:}{space 0}{lalign 14:lowGC} = {res:{ralign 9:1}}
{lalign 8:}{space 0}{lalign 14:groupCon} = {res:{ralign 9:0}}
{lalign 8:}{space 0}{lalign 14:mestizo} = {res:{ralign 9:.549802}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:otroethn} = {res:{ralign 9:.0160206}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:incum_voter} = {res:{ralign 9:.362136}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:cp6r} = {res:{ralign 9:1.411303}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:edr} = {res:{ralign 9:1.9054}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:quintiles} = {res:{ralign 9:3.050994}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:female} = {res:{ralign 9:.4594079}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:urban} = {res:{ralign 9:.7332114}} {txt:(mean)}
{lalign 8:25._at: }{space 0}{lalign 14:v2pepwrsoc_rev} = {res:{ralign 9:.0240001}}
{lalign 8:}{space 0}{lalign 14:lowGC} = {res:{ralign 9:1}}
{lalign 8:}{space 0}{lalign 14:groupCon} = {res:{ralign 9:0}}
{lalign 8:}{space 0}{lalign 14:mestizo} = {res:{ralign 9:.549802}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:otroethn} = {res:{ralign 9:.0160206}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:incum_voter} = {res:{ralign 9:.362136}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:cp6r} = {res:{ralign 9:1.411303}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:edr} = {res:{ralign 9:1.9054}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:quintiles} = {res:{ralign 9:3.050994}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:female} = {res:{ralign 9:.4594079}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:urban} = {res:{ralign 9:.7332114}} {txt:(mean)}
{lalign 8:26._at: }{space 0}{lalign 14:v2pepwrsoc_rev} = {res:{ralign 9:.1240001}}
{lalign 8:}{space 0}{lalign 14:lowGC} = {res:{ralign 9:1}}
{lalign 8:}{space 0}{lalign 14:groupCon} = {res:{ralign 9:0}}
{lalign 8:}{space 0}{lalign 14:mestizo} = {res:{ralign 9:.549802}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:otroethn} = {res:{ralign 9:.0160206}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:incum_voter} = {res:{ralign 9:.362136}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:cp6r} = {res:{ralign 9:1.411303}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:edr} = {res:{ralign 9:1.9054}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:quintiles} = {res:{ralign 9:3.050994}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:female} = {res:{ralign 9:.4594079}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:urban} = {res:{ralign 9:.7332114}} {txt:(mean)}
{lalign 8:27._at: }{space 0}{lalign 14:v2pepwrsoc_rev} = {res:{ralign 9:.2240001}}
{lalign 8:}{space 0}{lalign 14:lowGC} = {res:{ralign 9:1}}
{lalign 8:}{space 0}{lalign 14:groupCon} = {res:{ralign 9:0}}
{lalign 8:}{space 0}{lalign 14:mestizo} = {res:{ralign 9:.549802}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:otroethn} = {res:{ralign 9:.0160206}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:incum_voter} = {res:{ralign 9:.362136}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:cp6r} = {res:{ralign 9:1.411303}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:edr} = {res:{ralign 9:1.9054}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:quintiles} = {res:{ralign 9:3.050994}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:female} = {res:{ralign 9:.4594079}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:urban} = {res:{ralign 9:.7332114}} {txt:(mean)}
{lalign 8:28._at: }{space 0}{lalign 14:v2pepwrsoc_rev} = {res:{ralign 9:.3240001}}
{lalign 8:}{space 0}{lalign 14:lowGC} = {res:{ralign 9:1}}
{lalign 8:}{space 0}{lalign 14:groupCon} = {res:{ralign 9:0}}
{lalign 8:}{space 0}{lalign 14:mestizo} = {res:{ralign 9:.549802}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:otroethn} = {res:{ralign 9:.0160206}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:incum_voter} = {res:{ralign 9:.362136}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:cp6r} = {res:{ralign 9:1.411303}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:edr} = {res:{ralign 9:1.9054}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:quintiles} = {res:{ralign 9:3.050994}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:female} = {res:{ralign 9:.4594079}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:urban} = {res:{ralign 9:.7332114}} {txt:(mean)}
{lalign 8:29._at: }{space 0}{lalign 14:v2pepwrsoc_rev} = {res:{ralign 9:.4240001}}
{lalign 8:}{space 0}{lalign 14:lowGC} = {res:{ralign 9:1}}
{lalign 8:}{space 0}{lalign 14:groupCon} = {res:{ralign 9:0}}
{lalign 8:}{space 0}{lalign 14:mestizo} = {res:{ralign 9:.549802}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:otroethn} = {res:{ralign 9:.0160206}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:incum_voter} = {res:{ralign 9:.362136}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:cp6r} = {res:{ralign 9:1.411303}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:edr} = {res:{ralign 9:1.9054}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:quintiles} = {res:{ralign 9:3.050994}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:female} = {res:{ralign 9:.4594079}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:urban} = {res:{ralign 9:.7332114}} {txt:(mean)}
{lalign 8:30._at: }{space 0}{lalign 14:v2pepwrsoc_rev} = {res:{ralign 9:.5240001}}
{lalign 8:}{space 0}{lalign 14:lowGC} = {res:{ralign 9:1}}
{lalign 8:}{space 0}{lalign 14:groupCon} = {res:{ralign 9:0}}
{lalign 8:}{space 0}{lalign 14:mestizo} = {res:{ralign 9:.549802}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:otroethn} = {res:{ralign 9:.0160206}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:incum_voter} = {res:{ralign 9:.362136}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:cp6r} = {res:{ralign 9:1.411303}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:edr} = {res:{ralign 9:1.9054}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:quintiles} = {res:{ralign 9:3.050994}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:female} = {res:{ralign 9:.4594079}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:urban} = {res:{ralign 9:.7332114}} {txt:(mean)}
{lalign 8:31._at: }{space 0}{lalign 14:v2pepwrsoc_rev} = {res:{ralign 9:.6240001}}
{lalign 8:}{space 0}{lalign 14:lowGC} = {res:{ralign 9:1}}
{lalign 8:}{space 0}{lalign 14:groupCon} = {res:{ralign 9:0}}
{lalign 8:}{space 0}{lalign 14:mestizo} = {res:{ralign 9:.549802}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:otroethn} = {res:{ralign 9:.0160206}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:incum_voter} = {res:{ralign 9:.362136}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:cp6r} = {res:{ralign 9:1.411303}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:edr} = {res:{ralign 9:1.9054}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:quintiles} = {res:{ralign 9:3.050994}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:female} = {res:{ralign 9:.4594079}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:urban} = {res:{ralign 9:.7332114}} {txt:(mean)}
{lalign 8:32._at: }{space 0}{lalign 14:v2pepwrsoc_rev} = {res:{ralign 9:-2.376}}
{lalign 8:}{space 0}{lalign 14:lowGC} = {res:{ralign 9:0}}
{lalign 8:}{space 0}{lalign 14:groupCon} = {res:{ralign 9:1}}
{lalign 8:}{space 0}{lalign 14:mestizo} = {res:{ralign 9:.549802}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:otroethn} = {res:{ralign 9:.0160206}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:incum_voter} = {res:{ralign 9:.362136}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:cp6r} = {res:{ralign 9:1.411303}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:edr} = {res:{ralign 9:1.9054}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:quintiles} = {res:{ralign 9:3.050994}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:female} = {res:{ralign 9:.4594079}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:urban} = {res:{ralign 9:.7332114}} {txt:(mean)}
{lalign 8:33._at: }{space 0}{lalign 14:v2pepwrsoc_rev} = {res:{ralign 9:-2.276}}
{lalign 8:}{space 0}{lalign 14:lowGC} = {res:{ralign 9:0}}
{lalign 8:}{space 0}{lalign 14:groupCon} = {res:{ralign 9:1}}
{lalign 8:}{space 0}{lalign 14:mestizo} = {res:{ralign 9:.549802}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:otroethn} = {res:{ralign 9:.0160206}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:incum_voter} = {res:{ralign 9:.362136}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:cp6r} = {res:{ralign 9:1.411303}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:edr} = {res:{ralign 9:1.9054}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:quintiles} = {res:{ralign 9:3.050994}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:female} = {res:{ralign 9:.4594079}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:urban} = {res:{ralign 9:.7332114}} {txt:(mean)}
{lalign 8:34._at: }{space 0}{lalign 14:v2pepwrsoc_rev} = {res:{ralign 9:-2.176}}
{lalign 8:}{space 0}{lalign 14:lowGC} = {res:{ralign 9:0}}
{lalign 8:}{space 0}{lalign 14:groupCon} = {res:{ralign 9:1}}
{lalign 8:}{space 0}{lalign 14:mestizo} = {res:{ralign 9:.549802}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:otroethn} = {res:{ralign 9:.0160206}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:incum_voter} = {res:{ralign 9:.362136}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:cp6r} = {res:{ralign 9:1.411303}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:edr} = {res:{ralign 9:1.9054}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:quintiles} = {res:{ralign 9:3.050994}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:female} = {res:{ralign 9:.4594079}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:urban} = {res:{ralign 9:.7332114}} {txt:(mean)}
{lalign 8:35._at: }{space 0}{lalign 14:v2pepwrsoc_rev} = {res:{ralign 9:-2.076}}
{lalign 8:}{space 0}{lalign 14:lowGC} = {res:{ralign 9:0}}
{lalign 8:}{space 0}{lalign 14:groupCon} = {res:{ralign 9:1}}
{lalign 8:}{space 0}{lalign 14:mestizo} = {res:{ralign 9:.549802}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:otroethn} = {res:{ralign 9:.0160206}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:incum_voter} = {res:{ralign 9:.362136}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:cp6r} = {res:{ralign 9:1.411303}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:edr} = {res:{ralign 9:1.9054}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:quintiles} = {res:{ralign 9:3.050994}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:female} = {res:{ralign 9:.4594079}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:urban} = {res:{ralign 9:.7332114}} {txt:(mean)}
{lalign 8:36._at: }{space 0}{lalign 14:v2pepwrsoc_rev} = {res:{ralign 9:-1.976}}
{lalign 8:}{space 0}{lalign 14:lowGC} = {res:{ralign 9:0}}
{lalign 8:}{space 0}{lalign 14:groupCon} = {res:{ralign 9:1}}
{lalign 8:}{space 0}{lalign 14:mestizo} = {res:{ralign 9:.549802}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:otroethn} = {res:{ralign 9:.0160206}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:incum_voter} = {res:{ralign 9:.362136}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:cp6r} = {res:{ralign 9:1.411303}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:edr} = {res:{ralign 9:1.9054}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:quintiles} = {res:{ralign 9:3.050994}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:female} = {res:{ralign 9:.4594079}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:urban} = {res:{ralign 9:.7332114}} {txt:(mean)}
{lalign 8:37._at: }{space 0}{lalign 14:v2pepwrsoc_rev} = {res:{ralign 9:-1.876}}
{lalign 8:}{space 0}{lalign 14:lowGC} = {res:{ralign 9:0}}
{lalign 8:}{space 0}{lalign 14:groupCon} = {res:{ralign 9:1}}
{lalign 8:}{space 0}{lalign 14:mestizo} = {res:{ralign 9:.549802}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:otroethn} = {res:{ralign 9:.0160206}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:incum_voter} = {res:{ralign 9:.362136}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:cp6r} = {res:{ralign 9:1.411303}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:edr} = {res:{ralign 9:1.9054}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:quintiles} = {res:{ralign 9:3.050994}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:female} = {res:{ralign 9:.4594079}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:urban} = {res:{ralign 9:.7332114}} {txt:(mean)}
{lalign 8:38._at: }{space 0}{lalign 14:v2pepwrsoc_rev} = {res:{ralign 9:-1.776}}
{lalign 8:}{space 0}{lalign 14:lowGC} = {res:{ralign 9:0}}
{lalign 8:}{space 0}{lalign 14:groupCon} = {res:{ralign 9:1}}
{lalign 8:}{space 0}{lalign 14:mestizo} = {res:{ralign 9:.549802}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:otroethn} = {res:{ralign 9:.0160206}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:incum_voter} = {res:{ralign 9:.362136}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:cp6r} = {res:{ralign 9:1.411303}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:edr} = {res:{ralign 9:1.9054}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:quintiles} = {res:{ralign 9:3.050994}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:female} = {res:{ralign 9:.4594079}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:urban} = {res:{ralign 9:.7332114}} {txt:(mean)}
{lalign 8:39._at: }{space 0}{lalign 14:v2pepwrsoc_rev} = {res:{ralign 9:-1.676}}
{lalign 8:}{space 0}{lalign 14:lowGC} = {res:{ralign 9:0}}
{lalign 8:}{space 0}{lalign 14:groupCon} = {res:{ralign 9:1}}
{lalign 8:}{space 0}{lalign 14:mestizo} = {res:{ralign 9:.549802}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:otroethn} = {res:{ralign 9:.0160206}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:incum_voter} = {res:{ralign 9:.362136}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:cp6r} = {res:{ralign 9:1.411303}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:edr} = {res:{ralign 9:1.9054}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:quintiles} = {res:{ralign 9:3.050994}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:female} = {res:{ralign 9:.4594079}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:urban} = {res:{ralign 9:.7332114}} {txt:(mean)}
{lalign 8:40._at: }{space 0}{lalign 14:v2pepwrsoc_rev} = {res:{ralign 9:-1.576}}
{lalign 8:}{space 0}{lalign 14:lowGC} = {res:{ralign 9:0}}
{lalign 8:}{space 0}{lalign 14:groupCon} = {res:{ralign 9:1}}
{lalign 8:}{space 0}{lalign 14:mestizo} = {res:{ralign 9:.549802}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:otroethn} = {res:{ralign 9:.0160206}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:incum_voter} = {res:{ralign 9:.362136}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:cp6r} = {res:{ralign 9:1.411303}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:edr} = {res:{ralign 9:1.9054}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:quintiles} = {res:{ralign 9:3.050994}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:female} = {res:{ralign 9:.4594079}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:urban} = {res:{ralign 9:.7332114}} {txt:(mean)}
{lalign 8:41._at: }{space 0}{lalign 14:v2pepwrsoc_rev} = {res:{ralign 9:-1.476}}
{lalign 8:}{space 0}{lalign 14:lowGC} = {res:{ralign 9:0}}
{lalign 8:}{space 0}{lalign 14:groupCon} = {res:{ralign 9:1}}
{lalign 8:}{space 0}{lalign 14:mestizo} = {res:{ralign 9:.549802}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:otroethn} = {res:{ralign 9:.0160206}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:incum_voter} = {res:{ralign 9:.362136}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:cp6r} = {res:{ralign 9:1.411303}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:edr} = {res:{ralign 9:1.9054}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:quintiles} = {res:{ralign 9:3.050994}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:female} = {res:{ralign 9:.4594079}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:urban} = {res:{ralign 9:.7332114}} {txt:(mean)}
{lalign 8:42._at: }{space 0}{lalign 14:v2pepwrsoc_rev} = {res:{ralign 9:-1.376}}
{lalign 8:}{space 0}{lalign 14:lowGC} = {res:{ralign 9:0}}
{lalign 8:}{space 0}{lalign 14:groupCon} = {res:{ralign 9:1}}
{lalign 8:}{space 0}{lalign 14:mestizo} = {res:{ralign 9:.549802}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:otroethn} = {res:{ralign 9:.0160206}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:incum_voter} = {res:{ralign 9:.362136}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:cp6r} = {res:{ralign 9:1.411303}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:edr} = {res:{ralign 9:1.9054}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:quintiles} = {res:{ralign 9:3.050994}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:female} = {res:{ralign 9:.4594079}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:urban} = {res:{ralign 9:.7332114}} {txt:(mean)}
{lalign 8:43._at: }{space 0}{lalign 14:v2pepwrsoc_rev} = {res:{ralign 9:-1.276}}
{lalign 8:}{space 0}{lalign 14:lowGC} = {res:{ralign 9:0}}
{lalign 8:}{space 0}{lalign 14:groupCon} = {res:{ralign 9:1}}
{lalign 8:}{space 0}{lalign 14:mestizo} = {res:{ralign 9:.549802}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:otroethn} = {res:{ralign 9:.0160206}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:incum_voter} = {res:{ralign 9:.362136}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:cp6r} = {res:{ralign 9:1.411303}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:edr} = {res:{ralign 9:1.9054}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:quintiles} = {res:{ralign 9:3.050994}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:female} = {res:{ralign 9:.4594079}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:urban} = {res:{ralign 9:.7332114}} {txt:(mean)}
{lalign 8:44._at: }{space 0}{lalign 14:v2pepwrsoc_rev} = {res:{ralign 9:-1.176}}
{lalign 8:}{space 0}{lalign 14:lowGC} = {res:{ralign 9:0}}
{lalign 8:}{space 0}{lalign 14:groupCon} = {res:{ralign 9:1}}
{lalign 8:}{space 0}{lalign 14:mestizo} = {res:{ralign 9:.549802}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:otroethn} = {res:{ralign 9:.0160206}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:incum_voter} = {res:{ralign 9:.362136}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:cp6r} = {res:{ralign 9:1.411303}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:edr} = {res:{ralign 9:1.9054}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:quintiles} = {res:{ralign 9:3.050994}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:female} = {res:{ralign 9:.4594079}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:urban} = {res:{ralign 9:.7332114}} {txt:(mean)}
{lalign 8:45._at: }{space 0}{lalign 14:v2pepwrsoc_rev} = {res:{ralign 9:-1.076}}
{lalign 8:}{space 0}{lalign 14:lowGC} = {res:{ralign 9:0}}
{lalign 8:}{space 0}{lalign 14:groupCon} = {res:{ralign 9:1}}
{lalign 8:}{space 0}{lalign 14:mestizo} = {res:{ralign 9:.549802}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:otroethn} = {res:{ralign 9:.0160206}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:incum_voter} = {res:{ralign 9:.362136}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:cp6r} = {res:{ralign 9:1.411303}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:edr} = {res:{ralign 9:1.9054}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:quintiles} = {res:{ralign 9:3.050994}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:female} = {res:{ralign 9:.4594079}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:urban} = {res:{ralign 9:.7332114}} {txt:(mean)}
{lalign 8:46._at: }{space 0}{lalign 14:v2pepwrsoc_rev} = {res:{ralign 9:-.9759999}}
{lalign 8:}{space 0}{lalign 14:lowGC} = {res:{ralign 9:0}}
{lalign 8:}{space 0}{lalign 14:groupCon} = {res:{ralign 9:1}}
{lalign 8:}{space 0}{lalign 14:mestizo} = {res:{ralign 9:.549802}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:otroethn} = {res:{ralign 9:.0160206}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:incum_voter} = {res:{ralign 9:.362136}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:cp6r} = {res:{ralign 9:1.411303}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:edr} = {res:{ralign 9:1.9054}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:quintiles} = {res:{ralign 9:3.050994}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:female} = {res:{ralign 9:.4594079}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:urban} = {res:{ralign 9:.7332114}} {txt:(mean)}
{lalign 8:47._at: }{space 0}{lalign 14:v2pepwrsoc_rev} = {res:{ralign 9:-.8759999}}
{lalign 8:}{space 0}{lalign 14:lowGC} = {res:{ralign 9:0}}
{lalign 8:}{space 0}{lalign 14:groupCon} = {res:{ralign 9:1}}
{lalign 8:}{space 0}{lalign 14:mestizo} = {res:{ralign 9:.549802}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:otroethn} = {res:{ralign 9:.0160206}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:incum_voter} = {res:{ralign 9:.362136}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:cp6r} = {res:{ralign 9:1.411303}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:edr} = {res:{ralign 9:1.9054}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:quintiles} = {res:{ralign 9:3.050994}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:female} = {res:{ralign 9:.4594079}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:urban} = {res:{ralign 9:.7332114}} {txt:(mean)}
{lalign 8:48._at: }{space 0}{lalign 14:v2pepwrsoc_rev} = {res:{ralign 9:-.7759999}}
{lalign 8:}{space 0}{lalign 14:lowGC} = {res:{ralign 9:0}}
{lalign 8:}{space 0}{lalign 14:groupCon} = {res:{ralign 9:1}}
{lalign 8:}{space 0}{lalign 14:mestizo} = {res:{ralign 9:.549802}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:otroethn} = {res:{ralign 9:.0160206}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:incum_voter} = {res:{ralign 9:.362136}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:cp6r} = {res:{ralign 9:1.411303}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:edr} = {res:{ralign 9:1.9054}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:quintiles} = {res:{ralign 9:3.050994}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:female} = {res:{ralign 9:.4594079}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:urban} = {res:{ralign 9:.7332114}} {txt:(mean)}
{lalign 8:49._at: }{space 0}{lalign 14:v2pepwrsoc_rev} = {res:{ralign 9:-.6759999}}
{lalign 8:}{space 0}{lalign 14:lowGC} = {res:{ralign 9:0}}
{lalign 8:}{space 0}{lalign 14:groupCon} = {res:{ralign 9:1}}
{lalign 8:}{space 0}{lalign 14:mestizo} = {res:{ralign 9:.549802}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:otroethn} = {res:{ralign 9:.0160206}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:incum_voter} = {res:{ralign 9:.362136}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:cp6r} = {res:{ralign 9:1.411303}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:edr} = {res:{ralign 9:1.9054}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:quintiles} = {res:{ralign 9:3.050994}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:female} = {res:{ralign 9:.4594079}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:urban} = {res:{ralign 9:.7332114}} {txt:(mean)}
{lalign 8:50._at: }{space 0}{lalign 14:v2pepwrsoc_rev} = {res:{ralign 9:-.5759999}}
{lalign 8:}{space 0}{lalign 14:lowGC} = {res:{ralign 9:0}}
{lalign 8:}{space 0}{lalign 14:groupCon} = {res:{ralign 9:1}}
{lalign 8:}{space 0}{lalign 14:mestizo} = {res:{ralign 9:.549802}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:otroethn} = {res:{ralign 9:.0160206}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:incum_voter} = {res:{ralign 9:.362136}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:cp6r} = {res:{ralign 9:1.411303}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:edr} = {res:{ralign 9:1.9054}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:quintiles} = {res:{ralign 9:3.050994}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:female} = {res:{ralign 9:.4594079}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:urban} = {res:{ralign 9:.7332114}} {txt:(mean)}
{lalign 8:51._at: }{space 0}{lalign 14:v2pepwrsoc_rev} = {res:{ralign 9:-.4759999}}
{lalign 8:}{space 0}{lalign 14:lowGC} = {res:{ralign 9:0}}
{lalign 8:}{space 0}{lalign 14:groupCon} = {res:{ralign 9:1}}
{lalign 8:}{space 0}{lalign 14:mestizo} = {res:{ralign 9:.549802}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:otroethn} = {res:{ralign 9:.0160206}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:incum_voter} = {res:{ralign 9:.362136}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:cp6r} = {res:{ralign 9:1.411303}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:edr} = {res:{ralign 9:1.9054}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:quintiles} = {res:{ralign 9:3.050994}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:female} = {res:{ralign 9:.4594079}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:urban} = {res:{ralign 9:.7332114}} {txt:(mean)}
{lalign 8:52._at: }{space 0}{lalign 14:v2pepwrsoc_rev} = {res:{ralign 9:-.3759999}}
{lalign 8:}{space 0}{lalign 14:lowGC} = {res:{ralign 9:0}}
{lalign 8:}{space 0}{lalign 14:groupCon} = {res:{ralign 9:1}}
{lalign 8:}{space 0}{lalign 14:mestizo} = {res:{ralign 9:.549802}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:otroethn} = {res:{ralign 9:.0160206}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:incum_voter} = {res:{ralign 9:.362136}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:cp6r} = {res:{ralign 9:1.411303}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:edr} = {res:{ralign 9:1.9054}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:quintiles} = {res:{ralign 9:3.050994}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:female} = {res:{ralign 9:.4594079}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:urban} = {res:{ralign 9:.7332114}} {txt:(mean)}
{lalign 8:53._at: }{space 0}{lalign 14:v2pepwrsoc_rev} = {res:{ralign 9:-.2759999}}
{lalign 8:}{space 0}{lalign 14:lowGC} = {res:{ralign 9:0}}
{lalign 8:}{space 0}{lalign 14:groupCon} = {res:{ralign 9:1}}
{lalign 8:}{space 0}{lalign 14:mestizo} = {res:{ralign 9:.549802}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:otroethn} = {res:{ralign 9:.0160206}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:incum_voter} = {res:{ralign 9:.362136}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:cp6r} = {res:{ralign 9:1.411303}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:edr} = {res:{ralign 9:1.9054}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:quintiles} = {res:{ralign 9:3.050994}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:female} = {res:{ralign 9:.4594079}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:urban} = {res:{ralign 9:.7332114}} {txt:(mean)}
{lalign 8:54._at: }{space 0}{lalign 14:v2pepwrsoc_rev} = {res:{ralign 9:-.1759999}}
{lalign 8:}{space 0}{lalign 14:lowGC} = {res:{ralign 9:0}}
{lalign 8:}{space 0}{lalign 14:groupCon} = {res:{ralign 9:1}}
{lalign 8:}{space 0}{lalign 14:mestizo} = {res:{ralign 9:.549802}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:otroethn} = {res:{ralign 9:.0160206}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:incum_voter} = {res:{ralign 9:.362136}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:cp6r} = {res:{ralign 9:1.411303}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:edr} = {res:{ralign 9:1.9054}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:quintiles} = {res:{ralign 9:3.050994}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:female} = {res:{ralign 9:.4594079}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:urban} = {res:{ralign 9:.7332114}} {txt:(mean)}
{lalign 8:55._at: }{space 0}{lalign 14:v2pepwrsoc_rev} = {res:{ralign 9:-.0759999}}
{lalign 8:}{space 0}{lalign 14:lowGC} = {res:{ralign 9:0}}
{lalign 8:}{space 0}{lalign 14:groupCon} = {res:{ralign 9:1}}
{lalign 8:}{space 0}{lalign 14:mestizo} = {res:{ralign 9:.549802}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:otroethn} = {res:{ralign 9:.0160206}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:incum_voter} = {res:{ralign 9:.362136}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:cp6r} = {res:{ralign 9:1.411303}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:edr} = {res:{ralign 9:1.9054}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:quintiles} = {res:{ralign 9:3.050994}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:female} = {res:{ralign 9:.4594079}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:urban} = {res:{ralign 9:.7332114}} {txt:(mean)}
{lalign 8:56._at: }{space 0}{lalign 14:v2pepwrsoc_rev} = {res:{ralign 9:.0240001}}
{lalign 8:}{space 0}{lalign 14:lowGC} = {res:{ralign 9:0}}
{lalign 8:}{space 0}{lalign 14:groupCon} = {res:{ralign 9:1}}
{lalign 8:}{space 0}{lalign 14:mestizo} = {res:{ralign 9:.549802}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:otroethn} = {res:{ralign 9:.0160206}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:incum_voter} = {res:{ralign 9:.362136}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:cp6r} = {res:{ralign 9:1.411303}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:edr} = {res:{ralign 9:1.9054}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:quintiles} = {res:{ralign 9:3.050994}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:female} = {res:{ralign 9:.4594079}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:urban} = {res:{ralign 9:.7332114}} {txt:(mean)}
{lalign 8:57._at: }{space 0}{lalign 14:v2pepwrsoc_rev} = {res:{ralign 9:.1240001}}
{lalign 8:}{space 0}{lalign 14:lowGC} = {res:{ralign 9:0}}
{lalign 8:}{space 0}{lalign 14:groupCon} = {res:{ralign 9:1}}
{lalign 8:}{space 0}{lalign 14:mestizo} = {res:{ralign 9:.549802}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:otroethn} = {res:{ralign 9:.0160206}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:incum_voter} = {res:{ralign 9:.362136}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:cp6r} = {res:{ralign 9:1.411303}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:edr} = {res:{ralign 9:1.9054}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:quintiles} = {res:{ralign 9:3.050994}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:female} = {res:{ralign 9:.4594079}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:urban} = {res:{ralign 9:.7332114}} {txt:(mean)}
{lalign 8:58._at: }{space 0}{lalign 14:v2pepwrsoc_rev} = {res:{ralign 9:.2240001}}
{lalign 8:}{space 0}{lalign 14:lowGC} = {res:{ralign 9:0}}
{lalign 8:}{space 0}{lalign 14:groupCon} = {res:{ralign 9:1}}
{lalign 8:}{space 0}{lalign 14:mestizo} = {res:{ralign 9:.549802}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:otroethn} = {res:{ralign 9:.0160206}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:incum_voter} = {res:{ralign 9:.362136}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:cp6r} = {res:{ralign 9:1.411303}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:edr} = {res:{ralign 9:1.9054}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:quintiles} = {res:{ralign 9:3.050994}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:female} = {res:{ralign 9:.4594079}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:urban} = {res:{ralign 9:.7332114}} {txt:(mean)}
{lalign 8:59._at: }{space 0}{lalign 14:v2pepwrsoc_rev} = {res:{ralign 9:.3240001}}
{lalign 8:}{space 0}{lalign 14:lowGC} = {res:{ralign 9:0}}
{lalign 8:}{space 0}{lalign 14:groupCon} = {res:{ralign 9:1}}
{lalign 8:}{space 0}{lalign 14:mestizo} = {res:{ralign 9:.549802}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:otroethn} = {res:{ralign 9:.0160206}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:incum_voter} = {res:{ralign 9:.362136}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:cp6r} = {res:{ralign 9:1.411303}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:edr} = {res:{ralign 9:1.9054}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:quintiles} = {res:{ralign 9:3.050994}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:female} = {res:{ralign 9:.4594079}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:urban} = {res:{ralign 9:.7332114}} {txt:(mean)}
{lalign 8:60._at: }{space 0}{lalign 14:v2pepwrsoc_rev} = {res:{ralign 9:.4240001}}
{lalign 8:}{space 0}{lalign 14:lowGC} = {res:{ralign 9:0}}
{lalign 8:}{space 0}{lalign 14:groupCon} = {res:{ralign 9:1}}
{lalign 8:}{space 0}{lalign 14:mestizo} = {res:{ralign 9:.549802}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:otroethn} = {res:{ralign 9:.0160206}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:incum_voter} = {res:{ralign 9:.362136}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:cp6r} = {res:{ralign 9:1.411303}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:edr} = {res:{ralign 9:1.9054}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:quintiles} = {res:{ralign 9:3.050994}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:female} = {res:{ralign 9:.4594079}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:urban} = {res:{ralign 9:.7332114}} {txt:(mean)}
{lalign 8:61._at: }{space 0}{lalign 14:v2pepwrsoc_rev} = {res:{ralign 9:.5240001}}
{lalign 8:}{space 0}{lalign 14:lowGC} = {res:{ralign 9:0}}
{lalign 8:}{space 0}{lalign 14:groupCon} = {res:{ralign 9:1}}
{lalign 8:}{space 0}{lalign 14:mestizo} = {res:{ralign 9:.549802}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:otroethn} = {res:{ralign 9:.0160206}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:incum_voter} = {res:{ralign 9:.362136}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:cp6r} = {res:{ralign 9:1.411303}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:edr} = {res:{ralign 9:1.9054}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:quintiles} = {res:{ralign 9:3.050994}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:female} = {res:{ralign 9:.4594079}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:urban} = {res:{ralign 9:.7332114}} {txt:(mean)}
{lalign 8:62._at: }{space 0}{lalign 14:v2pepwrsoc_rev} = {res:{ralign 9:.6240001}}
{lalign 8:}{space 0}{lalign 14:lowGC} = {res:{ralign 9:0}}
{lalign 8:}{space 0}{lalign 14:groupCon} = {res:{ralign 9:1}}
{lalign 8:}{space 0}{lalign 14:mestizo} = {res:{ralign 9:.549802}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:otroethn} = {res:{ralign 9:.0160206}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:incum_voter} = {res:{ralign 9:.362136}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:cp6r} = {res:{ralign 9:1.411303}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:edr} = {res:{ralign 9:1.9054}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:quintiles} = {res:{ralign 9:3.050994}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:female} = {res:{ralign 9:.4594079}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:urban} = {res:{ralign 9:.7332114}} {txt:(mean)}

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{txt}{space 9}21  {c |}{col 14}{res}{space 2} 4.944542{col 26}{space 2}  .085053{col 37}{space 1}   58.13{col 46}{space 3}0.000{col 54}{space 4} 4.777842{col 67}{space 3} 5.111243
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{txt}{space 9}23  {c |}{col 14}{res}{space 2} 4.869908{col 26}{space 2} .0957273{col 37}{space 1}   50.87{col 46}{space 3}0.000{col 54}{space 4} 4.682286{col 67}{space 3}  5.05753
{txt}{space 9}24  {c |}{col 14}{res}{space 2}  4.83259{col 26}{space 2} .1019047{col 37}{space 1}   47.42{col 46}{space 3}0.000{col 54}{space 4} 4.632861{col 67}{space 3}  5.03232
{txt}{space 9}25  {c |}{col 14}{res}{space 2} 4.795273{col 26}{space 2} .1085178{col 37}{space 1}   44.19{col 46}{space 3}0.000{col 54}{space 4} 4.582582{col 67}{space 3} 5.007964
{txt}{space 9}26  {c |}{col 14}{res}{space 2} 4.757956{col 26}{space 2} .1154916{col 37}{space 1}   41.20{col 46}{space 3}0.000{col 54}{space 4} 4.531596{col 67}{space 3} 4.984315
{txt}{space 9}27  {c |}{col 14}{res}{space 2} 4.720638{col 26}{space 2} .1227647{col 37}{space 1}   38.45{col 46}{space 3}0.000{col 54}{space 4} 4.480024{col 67}{space 3} 4.961253
{txt}{space 9}28  {c |}{col 14}{res}{space 2} 4.683321{col 26}{space 2}  .130287{col 37}{space 1}   35.95{col 46}{space 3}0.000{col 54}{space 4} 4.427963{col 67}{space 3} 4.938679
{txt}{space 9}29  {c |}{col 14}{res}{space 2} 4.646004{col 26}{space 2} .1380178{col 37}{space 1}   33.66{col 46}{space 3}0.000{col 54}{space 4} 4.375494{col 67}{space 3} 4.916514
{txt}{space 9}30  {c |}{col 14}{res}{space 2} 4.608686{col 26}{space 2} .1459239{col 37}{space 1}   31.58{col 46}{space 3}0.000{col 54}{space 4} 4.322681{col 67}{space 3} 4.894692
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{txt}{space 9}32  {c |}{col 14}{res}{space 2} 5.397102{col 26}{space 2} .2176842{col 37}{space 1}   24.79{col 46}{space 3}0.000{col 54}{space 4} 4.970449{col 67}{space 3} 5.823756
{txt}{space 9}33  {c |}{col 14}{res}{space 2} 5.389311{col 26}{space 2} .2079463{col 37}{space 1}   25.92{col 46}{space 3}0.000{col 54}{space 4} 4.981744{col 67}{space 3} 5.796879
{txt}{space 9}34  {c |}{col 14}{res}{space 2}  5.38152{col 26}{space 2} .1983552{col 37}{space 1}   27.13{col 46}{space 3}0.000{col 54}{space 4} 4.992751{col 67}{space 3}  5.77029
{txt}{space 9}35  {c |}{col 14}{res}{space 2}  5.37373{col 26}{space 2} .1889335{col 37}{space 1}   28.44{col 46}{space 3}0.000{col 54}{space 4} 5.003427{col 67}{space 3} 5.744032
{txt}{space 9}36  {c |}{col 14}{res}{space 2} 5.365939{col 26}{space 2} .1797077{col 37}{space 1}   29.86{col 46}{space 3}0.000{col 54}{space 4} 5.013718{col 67}{space 3} 5.718159
{txt}{space 9}37  {c |}{col 14}{res}{space 2} 5.358148{col 26}{space 2} .1707095{col 37}{space 1}   31.39{col 46}{space 3}0.000{col 54}{space 4} 5.023563{col 67}{space 3} 5.692732
{txt}{space 9}38  {c |}{col 14}{res}{space 2} 5.350357{col 26}{space 2}  .161977{col 37}{space 1}   33.03{col 46}{space 3}0.000{col 54}{space 4} 5.032887{col 67}{space 3} 5.667826
{txt}{space 9}39  {c |}{col 14}{res}{space 2} 5.342566{col 26}{space 2} .1535555{col 37}{space 1}   34.79{col 46}{space 3}0.000{col 54}{space 4} 5.041602{col 67}{space 3} 5.643529
{txt}{space 9}40  {c |}{col 14}{res}{space 2} 5.334775{col 26}{space 2}  .145499{col 37}{space 1}   36.67{col 46}{space 3}0.000{col 54}{space 4} 5.049602{col 67}{space 3} 5.619947
{txt}{space 9}41  {c |}{col 14}{res}{space 2} 5.326984{col 26}{space 2} .1378714{col 37}{space 1}   38.64{col 46}{space 3}0.000{col 54}{space 4} 5.056761{col 67}{space 3} 5.597207
{txt}{space 9}42  {c |}{col 14}{res}{space 2} 5.319193{col 26}{space 2} .1307479{col 37}{space 1}   40.68{col 46}{space 3}0.000{col 54}{space 4} 5.062931{col 67}{space 3} 5.575454
{txt}{space 9}43  {c |}{col 14}{res}{space 2} 5.311402{col 26}{space 2} .1242153{col 37}{space 1}   42.76{col 46}{space 3}0.000{col 54}{space 4} 5.067944{col 67}{space 3} 5.554859
{txt}{space 9}44  {c |}{col 14}{res}{space 2} 5.303611{col 26}{space 2} .1183713{col 37}{space 1}   44.80{col 46}{space 3}0.000{col 54}{space 4} 5.071607{col 67}{space 3} 5.535614
{txt}{space 9}45  {c |}{col 14}{res}{space 2}  5.29582{col 26}{space 2} .1133226{col 37}{space 1}   46.73{col 46}{space 3}0.000{col 54}{space 4} 5.073711{col 67}{space 3} 5.517928
{txt}{space 9}46  {c |}{col 14}{res}{space 2} 5.288029{col 26}{space 2} .1091796{col 37}{space 1}   48.43{col 46}{space 3}0.000{col 54}{space 4} 5.074041{col 67}{space 3} 5.502017
{txt}{space 9}47  {c |}{col 14}{res}{space 2} 5.280238{col 26}{space 2} .1060484{col 37}{space 1}   49.79{col 46}{space 3}0.000{col 54}{space 4} 5.072387{col 67}{space 3} 5.488089
{txt}{space 9}48  {c |}{col 14}{res}{space 2} 5.272447{col 26}{space 2} .1040205{col 37}{space 1}   50.69{col 46}{space 3}0.000{col 54}{space 4}  5.06857{col 67}{space 3} 5.476323
{txt}{space 9}49  {c |}{col 14}{res}{space 2} 5.264656{col 26}{space 2}  .103161{col 37}{space 1}   51.03{col 46}{space 3}0.000{col 54}{space 4} 5.062464{col 67}{space 3} 5.466847
{txt}{space 9}50  {c |}{col 14}{res}{space 2} 5.256865{col 26}{space 2} .1034989{col 37}{space 1}   50.79{col 46}{space 3}0.000{col 54}{space 4} 5.054011{col 67}{space 3} 5.459719
{txt}{space 9}51  {c |}{col 14}{res}{space 2} 5.249074{col 26}{space 2} .1050228{col 37}{space 1}   49.98{col 46}{space 3}0.000{col 54}{space 4} 5.043233{col 67}{space 3} 5.454915
{txt}{space 9}52  {c |}{col 14}{res}{space 2} 5.241283{col 26}{space 2} .1076822{col 37}{space 1}   48.67{col 46}{space 3}0.000{col 54}{space 4} 5.030229{col 67}{space 3} 5.452336
{txt}{space 9}53  {c |}{col 14}{res}{space 2} 5.233492{col 26}{space 2} .1113959{col 37}{space 1}   46.98{col 46}{space 3}0.000{col 54}{space 4}  5.01516{col 67}{space 3} 5.451824
{txt}{space 9}54  {c |}{col 14}{res}{space 2} 5.225701{col 26}{space 2} .1160628{col 37}{space 1}   45.02{col 46}{space 3}0.000{col 54}{space 4} 4.998222{col 67}{space 3}  5.45318
{txt}{space 9}55  {c |}{col 14}{res}{space 2}  5.21791{col 26}{space 2}  .121573{col 37}{space 1}   42.92{col 46}{space 3}0.000{col 54}{space 4} 4.979631{col 67}{space 3} 5.456189
{txt}{space 9}56  {c |}{col 14}{res}{space 2} 5.210119{col 26}{space 2} .1278176{col 37}{space 1}   40.76{col 46}{space 3}0.000{col 54}{space 4} 4.959601{col 67}{space 3} 5.460637
{txt}{space 9}57  {c |}{col 14}{res}{space 2} 5.202328{col 26}{space 2} .1346945{col 37}{space 1}   38.62{col 46}{space 3}0.000{col 54}{space 4} 4.938331{col 67}{space 3} 5.466324
{txt}{space 9}58  {c |}{col 14}{res}{space 2} 5.194537{col 26}{space 2} .1421119{col 37}{space 1}   36.55{col 46}{space 3}0.000{col 54}{space 4} 4.916003{col 67}{space 3} 5.473071
{txt}{space 9}59  {c |}{col 14}{res}{space 2} 5.186746{col 26}{space 2} .1499897{col 37}{space 1}   34.58{col 46}{space 3}0.000{col 54}{space 4} 4.892771{col 67}{space 3}  5.48072
{txt}{space 9}60  {c |}{col 14}{res}{space 2} 5.178955{col 26}{space 2} .1582591{col 37}{space 1}   32.72{col 46}{space 3}0.000{col 54}{space 4} 4.868773{col 67}{space 3} 5.489137
{txt}{space 9}61  {c |}{col 14}{res}{space 2} 5.171164{col 26}{space 2} .1668618{col 37}{space 1}   30.99{col 46}{space 3}0.000{col 54}{space 4} 4.844121{col 67}{space 3} 5.498207
{txt}{space 9}62  {c |}{col 14}{res}{space 2} 5.163373{col 26}{space 2} .1757491{col 37}{space 1}   29.38{col 46}{space 3}0.000{col 54}{space 4} 4.818911{col 67}{space 3} 5.507835
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. est store groupCon2
{txt}
{com}. capture drop where
{txt}
{com}. capture drop pipe
{txt}
{com}. gen where=4.4
{txt}
{com}. gen pipe="|"
{txt}
{com}. sum v2pepwrsoc_rev if groupCon~=.

{txt}    Variable {c |}        Obs        Mean    Std. dev.       Min        Max
{hline 13}{c +}{hline 57}
v2pepwrsoc~v {c |}{res}     23,056   -.8525609    .7220934     -2.376       .627
{txt}
{com}. local minexcl=round(r(min))
{txt}
{com}. local maxexcl=round(r(max))
{txt}
{com}. estimates restore groupCon2
{txt}(results {stata estimates replay groupCon2:groupCon2} are active now)

{com}. marginsplot, ///
>         plotopts(recast(line) mcolor(black) lcolor(black)) ///
>         plot1opts(lpattern(dash)) plot2opts(lpattern(solid)) ///
>         noci ///
>         title("") xtitle("Political Exclusion") xscale(range(`minexcl' `maxexcl')) ///
>         xlabel(`minexcl'(.5)`maxexcl') ///
>         ylabel(4.4(.2)5.6) ///
>         ytitle("Predicted Support for Democracy") ///
>         legend(order(1 "Low Group" "Consciousness" 2 "High Group" "Consciousness")) ///
>         legend(justification(center)) ///
>         graphregion(color(gs15)) scale(1.2) ///
>         addplot(scatter where v2pepwrsoc_rev if groupCon~=., ms(none) mlabel(pipe) mlabcolor(black) mlabpos(0) /// 
>         legend(order(1 "Low Group" "Consciousness" 2 "High Group" "Consciousness")) ///
>         legend(justification(center)))
{res}
{text}{p 0 0 2}Variables that uniquely identify margins: {bf:v2pepwrsoc_rev _atopt}{p_end}
{text}Multiple {bf:at()} options specified:
{text}{p 6 10 2}_atoption=1: (mean) _factor (mean) _continuous v2pepwrsoc_rev=(-2.375999927520752(.1).6269999742507935) lowGC=(1) groupCon=(0){p_end}
{text}{p 6 10 2}_atoption=2: (mean) _factor (mean) _continuous v2pepwrsoc_rev=(-2.375999927520752(.1).6269999742507935) lowGC=(0) groupCon=(1){p_end}
{res}{txt}
{com}. graph save "groupCon2PoP.gph", replace
{res}{txt}file {bf:groupCon2PoP.gph} saved

{com}. graph export "groupCon2PoP.pdf", as(pdf) replace
{txt}{p 0 4 2}
file {bf}
groupCon2PoP.pdf{rm}
saved as
PDF
format
{p_end}

{com}. 
. *Next, how does group consciousness interact with BGI and political exclusion for the other outcome:
. mixed demprin_i c.bgi_dec_fear_cent##(c.lowGC c.groupCon) otroethn mestizo incum_voter cp6r edr quintile female urban [pweight=weight1500] || country_year: lowGC groupCon, cov(independent)
{res}
{txt}Obtaining starting values by EM ...
{res}
{txt}Performing gradient-based optimization: {res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-40406.049}  
Iteration 1:{space 3}log pseudolikelihood = {res: -40405.64}  
Iteration 2:{space 3}log pseudolikelihood = {res:-40405.633}  
Iteration 3:{space 3}log pseudolikelihood = {res:-40405.633}  
{res}
{txt}Computing standard errors ...
{res}
{txt}Mixed-effects regression{col 49}Number of obs{col 67}={col 69}{res}    21,939
{txt}Group variable: {res}country_year{col 49}{txt}Number of groups{col 67}={col 69}{res}        23
{txt}{col 49}Obs per group:
{col 63}min{col 67}={col 69}{res}       563
{txt}{col 63}avg{col 67}={col 69}{res}     953.9
{txt}{col 63}max{col 67}={col 69}{res}     2,478
{col 49}{txt}Wald chi2({res}13{txt}){col 67}={col 70}{res}   933.66
{txt}Log pseudolikelihood = {res}-40405.633{col 49}{txt}Prob > chi2{col 67}={col 73}{res}0.0000

{txt}{ralign 96:(Std. err. adjusted for {res:23} clusters in {res:country_year})}
{hline 31}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 32}{c |}{col 44}    Robust
{col 1}                     demprin_i{col 32}{c |} Coefficient{col 44}  std. err.{col 56}      z{col 64}   P>|z|{col 72}     [95% con{col 85}f. interval]
{hline 31}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 13}bgi_dec_fear_cent {c |}{col 32}{res}{space 2}-.1160696{col 44}{space 2} .0265311{col 55}{space 1}   -4.37{col 64}{space 3}0.000{col 72}{space 4}-.1680696{col 85}{space 3}-.0640697
{txt}{space 25}lowGC {c |}{col 32}{res}{space 2}-.1159397{col 44}{space 2} .0735549{col 55}{space 1}   -1.58{col 64}{space 3}0.115{col 72}{space 4}-.2601046{col 85}{space 3} .0282252
{txt}{space 22}groupCon {c |}{col 32}{res}{space 2} .2613228{col 44}{space 2} .0731025{col 55}{space 1}    3.57{col 64}{space 3}0.000{col 72}{space 4} .1180444{col 85}{space 3} .4046011
{txt}{space 30} {c |}
{space 3}c.bgi_dec_fear_cent#c.lowGC {c |}{col 32}{res}{space 2} .0086123{col 44}{space 2} .0147919{col 55}{space 1}    0.58{col 64}{space 3}0.560{col 72}{space 4}-.0203792{col 85}{space 3} .0376038
{txt}{space 30} {c |}
c.bgi_dec_fear_cent#c.groupCon {c |}{col 32}{res}{space 2}-.0212758{col 44}{space 2} .0243602{col 55}{space 1}   -0.87{col 64}{space 3}0.382{col 72}{space 4} -.069021{col 85}{space 3} .0264693
{txt}{space 30} {c |}
{space 22}otroethn {c |}{col 32}{res}{space 2} .1297377{col 44}{space 2} .1357457{col 55}{space 1}    0.96{col 64}{space 3}0.339{col 72}{space 4} -.136319{col 85}{space 3} .3957943
{txt}{space 23}mestizo {c |}{col 32}{res}{space 2} .0126288{col 44}{space 2} .0692217{col 55}{space 1}    0.18{col 64}{space 3}0.855{col 72}{space 4}-.1230432{col 85}{space 3} .1483008
{txt}{space 19}incum_voter {c |}{col 32}{res}{space 2} .1713202{col 44}{space 2} .0448069{col 55}{space 1}    3.82{col 64}{space 3}0.000{col 72}{space 4} .0835003{col 85}{space 3} .2591401
{txt}{space 26}cp6r {c |}{col 32}{res}{space 2}-.0053502{col 44}{space 2} .0256353{col 55}{space 1}   -0.21{col 64}{space 3}0.835{col 72}{space 4}-.0555944{col 85}{space 3}  .044894
{txt}{space 27}edr {c |}{col 32}{res}{space 2} .2316666{col 44}{space 2} .0297392{col 55}{space 1}    7.79{col 64}{space 3}0.000{col 72}{space 4} .1733788{col 85}{space 3} .2899545
{txt}{space 21}quintiles {c |}{col 32}{res}{space 2} .0214868{col 44}{space 2} .0161689{col 55}{space 1}    1.33{col 64}{space 3}0.184{col 72}{space 4}-.0102036{col 85}{space 3} .0531772
{txt}{space 24}female {c |}{col 32}{res}{space 2}-.1756316{col 44}{space 2} .0348801{col 55}{space 1}   -5.04{col 64}{space 3}0.000{col 72}{space 4}-.2439952{col 85}{space 3}-.1072679
{txt}{space 25}urban {c |}{col 32}{res}{space 2}-.1373602{col 44}{space 2} .0371049{col 55}{space 1}   -3.70{col 64}{space 3}0.000{col 72}{space 4}-.2100845{col 85}{space 3} -.064636
{txt}{space 25}_cons {c |}{col 32}{res}{space 2} 5.865439{col 44}{space 2} .1504121{col 55}{space 1}   39.00{col 64}{space 3}0.000{col 72}{space 4} 5.570636{col 85}{space 3} 6.160241
{txt}{hline 31}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{txt}{hline 29}{c TT}{hline 48}
{col 30}{c |}{col 34}{col 46}Robust{col 63}
{col 3}Random-effects parameters{col 30}{c |}{col 34}Estimate{col 45}std. err.{col 59}[95% conf. interval]
{hline 29}{c +}{hline 48}
{res}country_year{txt}: Independent{col 30}{c |}
{space 18}var(lowGC) {c |}{res}{col 33} 2.38e-14{col 44} 2.53e-09{col 58}        0{col 70}        .
{txt}{space 15}var(groupCon) {c |}{res}{col 33} .0445184{col 44} .1748227{col 58} .0000202{col 70} 97.99142
{txt}{space 18}var(_cons) {c |}{res}{col 33} .2919469{col 44} .1460283{col 58} .1095326{col 70}  .778152
{txt}{hline 29}{c +}{hline 48}
{col 16}var(Residual){col 30}{c |}{res}{col 33} 4.149856{col 44}  .181548{col 58} 3.808857{col 70} 4.521384
{txt}{hline 29}{c BT}{hline 48}

{p 0 9 2}Warning: Sampling weights were 
specified only at the first level 
in a multilevel model. If these weights are 
indicative of overall and not conditional 
inclusion probabilities, then 
{help mixed##sampling:results may be biased}.
{p_end}

{com}. estimates store model3c
{txt}
{com}. test c.bgi_dec_fear_cent#c.lowGC=c.bgi_dec_fear_cent#c.groupCon

{p 0 7}{space 1}{text:( 1)}{space 1} {res}[demprin_i]c.bgi_dec_fear_cent#c.lowGC - [demprin_i]c.bgi_dec_fear_cent#c.groupCon = 0{p_end}

{txt}{col 12}chi2(  1) ={res}    0.72
{txt}{col 10}Prob > chi2 =  {res}  0.3971
{txt}
{com}. sum bgi_dec_fear_cent if groupCon~=.

{txt}    Variable {c |}        Obs        Mean    Std. dev.       Min        Max
{hline 13}{c +}{hline 57}
bgi_dec_fe~t {c |}{res}     23,056    1.398887     3.87253    -3.7602   9.444098
{txt}
{com}. local minbgi=(r(min))
{txt}
{com}. local maxbgi=(r(max))
{txt}
{com}. estimates restore model3c
{txt}(results {stata estimates replay model3c:model3c} are active now)

{com}. margins, atmeans at(bgi_dec_fear_cent=(`minbgi'(.5)`maxbgi') lowGC=(1) groupCon=(0)) at(bgi_dec_fear_cent=(`minbgi'(.5)`maxbgi') lowGC=(0) groupCon=(1)) post
{res}
{txt}{col 1}Adjusted predictions{col 57}{lalign 13:Number of obs}{col 70} = {res}{ralign 6:21,939}
{txt}{col 1}Model VCE: {res:Robust}

{txt}{p2colset 1 13 13 2}{...}
{p2col:Expression:}{res:Linear prediction, fixed portion, predict()}{p_end}
{p2colreset}{...}
{lalign 8:1._at: }{space 0}{lalign 16:bgi_dec_fear_c~t} = {res:{ralign 9:-3.7602}}
{lalign 8:}{space 0}{lalign 16:lowGC} = {res:{ralign 9:1}}
{lalign 8:}{space 0}{lalign 16:groupCon} = {res:{ralign 9:0}}
{lalign 8:}{space 0}{lalign 16:otroethn} = {res:{ralign 9:.0163863}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:mestizo} = {res:{ralign 9:.5468571}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:incum_voter} = {res:{ralign 9:.3612432}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:cp6r} = {res:{ralign 9:1.419602}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:edr} = {res:{ralign 9:1.887732}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:quintiles} = {res:{ralign 9:3.030001}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:female} = {res:{ralign 9:.4657228}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:urban} = {res:{ralign 9:.7281434}} {txt:(mean)}
{lalign 8:2._at: }{space 0}{lalign 16:bgi_dec_fear_c~t} = {res:{ralign 9:-3.2602}}
{lalign 8:}{space 0}{lalign 16:lowGC} = {res:{ralign 9:1}}
{lalign 8:}{space 0}{lalign 16:groupCon} = {res:{ralign 9:0}}
{lalign 8:}{space 0}{lalign 16:otroethn} = {res:{ralign 9:.0163863}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:mestizo} = {res:{ralign 9:.5468571}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:incum_voter} = {res:{ralign 9:.3612432}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:cp6r} = {res:{ralign 9:1.419602}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:edr} = {res:{ralign 9:1.887732}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:quintiles} = {res:{ralign 9:3.030001}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:female} = {res:{ralign 9:.4657228}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:urban} = {res:{ralign 9:.7281434}} {txt:(mean)}
{lalign 8:3._at: }{space 0}{lalign 16:bgi_dec_fear_c~t} = {res:{ralign 9:-2.7602}}
{lalign 8:}{space 0}{lalign 16:lowGC} = {res:{ralign 9:1}}
{lalign 8:}{space 0}{lalign 16:groupCon} = {res:{ralign 9:0}}
{lalign 8:}{space 0}{lalign 16:otroethn} = {res:{ralign 9:.0163863}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:mestizo} = {res:{ralign 9:.5468571}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:incum_voter} = {res:{ralign 9:.3612432}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:cp6r} = {res:{ralign 9:1.419602}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:edr} = {res:{ralign 9:1.887732}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:quintiles} = {res:{ralign 9:3.030001}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:female} = {res:{ralign 9:.4657228}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:urban} = {res:{ralign 9:.7281434}} {txt:(mean)}
{lalign 8:4._at: }{space 0}{lalign 16:bgi_dec_fear_c~t} = {res:{ralign 9:-2.2602}}
{lalign 8:}{space 0}{lalign 16:lowGC} = {res:{ralign 9:1}}
{lalign 8:}{space 0}{lalign 16:groupCon} = {res:{ralign 9:0}}
{lalign 8:}{space 0}{lalign 16:otroethn} = {res:{ralign 9:.0163863}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:mestizo} = {res:{ralign 9:.5468571}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:incum_voter} = {res:{ralign 9:.3612432}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:cp6r} = {res:{ralign 9:1.419602}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:edr} = {res:{ralign 9:1.887732}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:quintiles} = {res:{ralign 9:3.030001}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:female} = {res:{ralign 9:.4657228}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:urban} = {res:{ralign 9:.7281434}} {txt:(mean)}
{lalign 8:5._at: }{space 0}{lalign 16:bgi_dec_fear_c~t} = {res:{ralign 9:-1.7602}}
{lalign 8:}{space 0}{lalign 16:lowGC} = {res:{ralign 9:1}}
{lalign 8:}{space 0}{lalign 16:groupCon} = {res:{ralign 9:0}}
{lalign 8:}{space 0}{lalign 16:otroethn} = {res:{ralign 9:.0163863}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:mestizo} = {res:{ralign 9:.5468571}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:incum_voter} = {res:{ralign 9:.3612432}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:cp6r} = {res:{ralign 9:1.419602}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:edr} = {res:{ralign 9:1.887732}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:quintiles} = {res:{ralign 9:3.030001}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:female} = {res:{ralign 9:.4657228}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:urban} = {res:{ralign 9:.7281434}} {txt:(mean)}
{lalign 8:6._at: }{space 0}{lalign 16:bgi_dec_fear_c~t} = {res:{ralign 9:-1.2602}}
{lalign 8:}{space 0}{lalign 16:lowGC} = {res:{ralign 9:1}}
{lalign 8:}{space 0}{lalign 16:groupCon} = {res:{ralign 9:0}}
{lalign 8:}{space 0}{lalign 16:otroethn} = {res:{ralign 9:.0163863}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:mestizo} = {res:{ralign 9:.5468571}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:incum_voter} = {res:{ralign 9:.3612432}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:cp6r} = {res:{ralign 9:1.419602}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:edr} = {res:{ralign 9:1.887732}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:quintiles} = {res:{ralign 9:3.030001}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:female} = {res:{ralign 9:.4657228}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:urban} = {res:{ralign 9:.7281434}} {txt:(mean)}
{lalign 8:7._at: }{space 0}{lalign 16:bgi_dec_fear_c~t} = {res:{ralign 9:-.7601998}}
{lalign 8:}{space 0}{lalign 16:lowGC} = {res:{ralign 9:1}}
{lalign 8:}{space 0}{lalign 16:groupCon} = {res:{ralign 9:0}}
{lalign 8:}{space 0}{lalign 16:otroethn} = {res:{ralign 9:.0163863}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:mestizo} = {res:{ralign 9:.5468571}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:incum_voter} = {res:{ralign 9:.3612432}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:cp6r} = {res:{ralign 9:1.419602}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:edr} = {res:{ralign 9:1.887732}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:quintiles} = {res:{ralign 9:3.030001}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:female} = {res:{ralign 9:.4657228}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:urban} = {res:{ralign 9:.7281434}} {txt:(mean)}
{lalign 8:8._at: }{space 0}{lalign 16:bgi_dec_fear_c~t} = {res:{ralign 9:-.2601998}}
{lalign 8:}{space 0}{lalign 16:lowGC} = {res:{ralign 9:1}}
{lalign 8:}{space 0}{lalign 16:groupCon} = {res:{ralign 9:0}}
{lalign 8:}{space 0}{lalign 16:otroethn} = {res:{ralign 9:.0163863}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:mestizo} = {res:{ralign 9:.5468571}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:incum_voter} = {res:{ralign 9:.3612432}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:cp6r} = {res:{ralign 9:1.419602}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:edr} = {res:{ralign 9:1.887732}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:quintiles} = {res:{ralign 9:3.030001}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:female} = {res:{ralign 9:.4657228}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:urban} = {res:{ralign 9:.7281434}} {txt:(mean)}
{lalign 8:9._at: }{space 0}{lalign 16:bgi_dec_fear_c~t} = {res:{ralign 9:.2398002}}
{lalign 8:}{space 0}{lalign 16:lowGC} = {res:{ralign 9:1}}
{lalign 8:}{space 0}{lalign 16:groupCon} = {res:{ralign 9:0}}
{lalign 8:}{space 0}{lalign 16:otroethn} = {res:{ralign 9:.0163863}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:mestizo} = {res:{ralign 9:.5468571}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:incum_voter} = {res:{ralign 9:.3612432}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:cp6r} = {res:{ralign 9:1.419602}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:edr} = {res:{ralign 9:1.887732}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:quintiles} = {res:{ralign 9:3.030001}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:female} = {res:{ralign 9:.4657228}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:urban} = {res:{ralign 9:.7281434}} {txt:(mean)}
{lalign 8:10._at: }{space 0}{lalign 16:bgi_dec_fear_c~t} = {res:{ralign 9:.7398002}}
{lalign 8:}{space 0}{lalign 16:lowGC} = {res:{ralign 9:1}}
{lalign 8:}{space 0}{lalign 16:groupCon} = {res:{ralign 9:0}}
{lalign 8:}{space 0}{lalign 16:otroethn} = {res:{ralign 9:.0163863}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:mestizo} = {res:{ralign 9:.5468571}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:incum_voter} = {res:{ralign 9:.3612432}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:cp6r} = {res:{ralign 9:1.419602}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:edr} = {res:{ralign 9:1.887732}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:quintiles} = {res:{ralign 9:3.030001}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:female} = {res:{ralign 9:.4657228}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:urban} = {res:{ralign 9:.7281434}} {txt:(mean)}
{lalign 8:11._at: }{space 0}{lalign 16:bgi_dec_fear_c~t} = {res:{ralign 9:1.2398}}
{lalign 8:}{space 0}{lalign 16:lowGC} = {res:{ralign 9:1}}
{lalign 8:}{space 0}{lalign 16:groupCon} = {res:{ralign 9:0}}
{lalign 8:}{space 0}{lalign 16:otroethn} = {res:{ralign 9:.0163863}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:mestizo} = {res:{ralign 9:.5468571}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:incum_voter} = {res:{ralign 9:.3612432}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:cp6r} = {res:{ralign 9:1.419602}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:edr} = {res:{ralign 9:1.887732}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:quintiles} = {res:{ralign 9:3.030001}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:female} = {res:{ralign 9:.4657228}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:urban} = {res:{ralign 9:.7281434}} {txt:(mean)}
{lalign 8:12._at: }{space 0}{lalign 16:bgi_dec_fear_c~t} = {res:{ralign 9:1.7398}}
{lalign 8:}{space 0}{lalign 16:lowGC} = {res:{ralign 9:1}}
{lalign 8:}{space 0}{lalign 16:groupCon} = {res:{ralign 9:0}}
{lalign 8:}{space 0}{lalign 16:otroethn} = {res:{ralign 9:.0163863}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:mestizo} = {res:{ralign 9:.5468571}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:incum_voter} = {res:{ralign 9:.3612432}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:cp6r} = {res:{ralign 9:1.419602}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:edr} = {res:{ralign 9:1.887732}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:quintiles} = {res:{ralign 9:3.030001}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:female} = {res:{ralign 9:.4657228}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:urban} = {res:{ralign 9:.7281434}} {txt:(mean)}
{lalign 8:13._at: }{space 0}{lalign 16:bgi_dec_fear_c~t} = {res:{ralign 9:2.2398}}
{lalign 8:}{space 0}{lalign 16:lowGC} = {res:{ralign 9:1}}
{lalign 8:}{space 0}{lalign 16:groupCon} = {res:{ralign 9:0}}
{lalign 8:}{space 0}{lalign 16:otroethn} = {res:{ralign 9:.0163863}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:mestizo} = {res:{ralign 9:.5468571}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:incum_voter} = {res:{ralign 9:.3612432}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:cp6r} = {res:{ralign 9:1.419602}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:edr} = {res:{ralign 9:1.887732}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:quintiles} = {res:{ralign 9:3.030001}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:female} = {res:{ralign 9:.4657228}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:urban} = {res:{ralign 9:.7281434}} {txt:(mean)}
{lalign 8:14._at: }{space 0}{lalign 16:bgi_dec_fear_c~t} = {res:{ralign 9:2.7398}}
{lalign 8:}{space 0}{lalign 16:lowGC} = {res:{ralign 9:1}}
{lalign 8:}{space 0}{lalign 16:groupCon} = {res:{ralign 9:0}}
{lalign 8:}{space 0}{lalign 16:otroethn} = {res:{ralign 9:.0163863}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:mestizo} = {res:{ralign 9:.5468571}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:incum_voter} = {res:{ralign 9:.3612432}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:cp6r} = {res:{ralign 9:1.419602}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:edr} = {res:{ralign 9:1.887732}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:quintiles} = {res:{ralign 9:3.030001}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:female} = {res:{ralign 9:.4657228}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:urban} = {res:{ralign 9:.7281434}} {txt:(mean)}
{lalign 8:15._at: }{space 0}{lalign 16:bgi_dec_fear_c~t} = {res:{ralign 9:3.2398}}
{lalign 8:}{space 0}{lalign 16:lowGC} = {res:{ralign 9:1}}
{lalign 8:}{space 0}{lalign 16:groupCon} = {res:{ralign 9:0}}
{lalign 8:}{space 0}{lalign 16:otroethn} = {res:{ralign 9:.0163863}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:mestizo} = {res:{ralign 9:.5468571}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:incum_voter} = {res:{ralign 9:.3612432}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:cp6r} = {res:{ralign 9:1.419602}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:edr} = {res:{ralign 9:1.887732}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:quintiles} = {res:{ralign 9:3.030001}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:female} = {res:{ralign 9:.4657228}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:urban} = {res:{ralign 9:.7281434}} {txt:(mean)}
{lalign 8:16._at: }{space 0}{lalign 16:bgi_dec_fear_c~t} = {res:{ralign 9:3.7398}}
{lalign 8:}{space 0}{lalign 16:lowGC} = {res:{ralign 9:1}}
{lalign 8:}{space 0}{lalign 16:groupCon} = {res:{ralign 9:0}}
{lalign 8:}{space 0}{lalign 16:otroethn} = {res:{ralign 9:.0163863}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:mestizo} = {res:{ralign 9:.5468571}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:incum_voter} = {res:{ralign 9:.3612432}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:cp6r} = {res:{ralign 9:1.419602}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:edr} = {res:{ralign 9:1.887732}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:quintiles} = {res:{ralign 9:3.030001}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:female} = {res:{ralign 9:.4657228}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:urban} = {res:{ralign 9:.7281434}} {txt:(mean)}
{lalign 8:17._at: }{space 0}{lalign 16:bgi_dec_fear_c~t} = {res:{ralign 9:4.2398}}
{lalign 8:}{space 0}{lalign 16:lowGC} = {res:{ralign 9:1}}
{lalign 8:}{space 0}{lalign 16:groupCon} = {res:{ralign 9:0}}
{lalign 8:}{space 0}{lalign 16:otroethn} = {res:{ralign 9:.0163863}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:mestizo} = {res:{ralign 9:.5468571}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:incum_voter} = {res:{ralign 9:.3612432}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:cp6r} = {res:{ralign 9:1.419602}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:edr} = {res:{ralign 9:1.887732}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:quintiles} = {res:{ralign 9:3.030001}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:female} = {res:{ralign 9:.4657228}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:urban} = {res:{ralign 9:.7281434}} {txt:(mean)}
{lalign 8:18._at: }{space 0}{lalign 16:bgi_dec_fear_c~t} = {res:{ralign 9:4.7398}}
{lalign 8:}{space 0}{lalign 16:lowGC} = {res:{ralign 9:1}}
{lalign 8:}{space 0}{lalign 16:groupCon} = {res:{ralign 9:0}}
{lalign 8:}{space 0}{lalign 16:otroethn} = {res:{ralign 9:.0163863}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:mestizo} = {res:{ralign 9:.5468571}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:incum_voter} = {res:{ralign 9:.3612432}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:cp6r} = {res:{ralign 9:1.419602}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:edr} = {res:{ralign 9:1.887732}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:quintiles} = {res:{ralign 9:3.030001}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:female} = {res:{ralign 9:.4657228}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:urban} = {res:{ralign 9:.7281434}} {txt:(mean)}
{lalign 8:19._at: }{space 0}{lalign 16:bgi_dec_fear_c~t} = {res:{ralign 9:5.2398}}
{lalign 8:}{space 0}{lalign 16:lowGC} = {res:{ralign 9:1}}
{lalign 8:}{space 0}{lalign 16:groupCon} = {res:{ralign 9:0}}
{lalign 8:}{space 0}{lalign 16:otroethn} = {res:{ralign 9:.0163863}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:mestizo} = {res:{ralign 9:.5468571}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:incum_voter} = {res:{ralign 9:.3612432}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:cp6r} = {res:{ralign 9:1.419602}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:edr} = {res:{ralign 9:1.887732}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:quintiles} = {res:{ralign 9:3.030001}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:female} = {res:{ralign 9:.4657228}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:urban} = {res:{ralign 9:.7281434}} {txt:(mean)}
{lalign 8:20._at: }{space 0}{lalign 16:bgi_dec_fear_c~t} = {res:{ralign 9:5.7398}}
{lalign 8:}{space 0}{lalign 16:lowGC} = {res:{ralign 9:1}}
{lalign 8:}{space 0}{lalign 16:groupCon} = {res:{ralign 9:0}}
{lalign 8:}{space 0}{lalign 16:otroethn} = {res:{ralign 9:.0163863}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:mestizo} = {res:{ralign 9:.5468571}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:incum_voter} = {res:{ralign 9:.3612432}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:cp6r} = {res:{ralign 9:1.419602}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:edr} = {res:{ralign 9:1.887732}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:quintiles} = {res:{ralign 9:3.030001}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:female} = {res:{ralign 9:.4657228}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:urban} = {res:{ralign 9:.7281434}} {txt:(mean)}
{lalign 8:21._at: }{space 0}{lalign 16:bgi_dec_fear_c~t} = {res:{ralign 9:6.2398}}
{lalign 8:}{space 0}{lalign 16:lowGC} = {res:{ralign 9:1}}
{lalign 8:}{space 0}{lalign 16:groupCon} = {res:{ralign 9:0}}
{lalign 8:}{space 0}{lalign 16:otroethn} = {res:{ralign 9:.0163863}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:mestizo} = {res:{ralign 9:.5468571}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:incum_voter} = {res:{ralign 9:.3612432}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:cp6r} = {res:{ralign 9:1.419602}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:edr} = {res:{ralign 9:1.887732}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:quintiles} = {res:{ralign 9:3.030001}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:female} = {res:{ralign 9:.4657228}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:urban} = {res:{ralign 9:.7281434}} {txt:(mean)}
{lalign 8:22._at: }{space 0}{lalign 16:bgi_dec_fear_c~t} = {res:{ralign 9:6.7398}}
{lalign 8:}{space 0}{lalign 16:lowGC} = {res:{ralign 9:1}}
{lalign 8:}{space 0}{lalign 16:groupCon} = {res:{ralign 9:0}}
{lalign 8:}{space 0}{lalign 16:otroethn} = {res:{ralign 9:.0163863}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:mestizo} = {res:{ralign 9:.5468571}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:incum_voter} = {res:{ralign 9:.3612432}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:cp6r} = {res:{ralign 9:1.419602}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:edr} = {res:{ralign 9:1.887732}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:quintiles} = {res:{ralign 9:3.030001}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:female} = {res:{ralign 9:.4657228}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:urban} = {res:{ralign 9:.7281434}} {txt:(mean)}
{lalign 8:23._at: }{space 0}{lalign 16:bgi_dec_fear_c~t} = {res:{ralign 9:7.2398}}
{lalign 8:}{space 0}{lalign 16:lowGC} = {res:{ralign 9:1}}
{lalign 8:}{space 0}{lalign 16:groupCon} = {res:{ralign 9:0}}
{lalign 8:}{space 0}{lalign 16:otroethn} = {res:{ralign 9:.0163863}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:mestizo} = {res:{ralign 9:.5468571}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:incum_voter} = {res:{ralign 9:.3612432}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:cp6r} = {res:{ralign 9:1.419602}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:edr} = {res:{ralign 9:1.887732}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:quintiles} = {res:{ralign 9:3.030001}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:female} = {res:{ralign 9:.4657228}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:urban} = {res:{ralign 9:.7281434}} {txt:(mean)}
{lalign 8:24._at: }{space 0}{lalign 16:bgi_dec_fear_c~t} = {res:{ralign 9:7.7398}}
{lalign 8:}{space 0}{lalign 16:lowGC} = {res:{ralign 9:1}}
{lalign 8:}{space 0}{lalign 16:groupCon} = {res:{ralign 9:0}}
{lalign 8:}{space 0}{lalign 16:otroethn} = {res:{ralign 9:.0163863}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:mestizo} = {res:{ralign 9:.5468571}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:incum_voter} = {res:{ralign 9:.3612432}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:cp6r} = {res:{ralign 9:1.419602}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:edr} = {res:{ralign 9:1.887732}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:quintiles} = {res:{ralign 9:3.030001}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:female} = {res:{ralign 9:.4657228}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:urban} = {res:{ralign 9:.7281434}} {txt:(mean)}
{lalign 8:25._at: }{space 0}{lalign 16:bgi_dec_fear_c~t} = {res:{ralign 9:8.2398}}
{lalign 8:}{space 0}{lalign 16:lowGC} = {res:{ralign 9:1}}
{lalign 8:}{space 0}{lalign 16:groupCon} = {res:{ralign 9:0}}
{lalign 8:}{space 0}{lalign 16:otroethn} = {res:{ralign 9:.0163863}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:mestizo} = {res:{ralign 9:.5468571}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:incum_voter} = {res:{ralign 9:.3612432}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:cp6r} = {res:{ralign 9:1.419602}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:edr} = {res:{ralign 9:1.887732}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:quintiles} = {res:{ralign 9:3.030001}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:female} = {res:{ralign 9:.4657228}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:urban} = {res:{ralign 9:.7281434}} {txt:(mean)}
{lalign 8:26._at: }{space 0}{lalign 16:bgi_dec_fear_c~t} = {res:{ralign 9:8.7398}}
{lalign 8:}{space 0}{lalign 16:lowGC} = {res:{ralign 9:1}}
{lalign 8:}{space 0}{lalign 16:groupCon} = {res:{ralign 9:0}}
{lalign 8:}{space 0}{lalign 16:otroethn} = {res:{ralign 9:.0163863}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:mestizo} = {res:{ralign 9:.5468571}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:incum_voter} = {res:{ralign 9:.3612432}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:cp6r} = {res:{ralign 9:1.419602}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:edr} = {res:{ralign 9:1.887732}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:quintiles} = {res:{ralign 9:3.030001}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:female} = {res:{ralign 9:.4657228}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:urban} = {res:{ralign 9:.7281434}} {txt:(mean)}
{lalign 8:27._at: }{space 0}{lalign 16:bgi_dec_fear_c~t} = {res:{ralign 9:9.2398}}
{lalign 8:}{space 0}{lalign 16:lowGC} = {res:{ralign 9:1}}
{lalign 8:}{space 0}{lalign 16:groupCon} = {res:{ralign 9:0}}
{lalign 8:}{space 0}{lalign 16:otroethn} = {res:{ralign 9:.0163863}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:mestizo} = {res:{ralign 9:.5468571}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:incum_voter} = {res:{ralign 9:.3612432}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:cp6r} = {res:{ralign 9:1.419602}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:edr} = {res:{ralign 9:1.887732}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:quintiles} = {res:{ralign 9:3.030001}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:female} = {res:{ralign 9:.4657228}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:urban} = {res:{ralign 9:.7281434}} {txt:(mean)}
{lalign 8:28._at: }{space 0}{lalign 16:bgi_dec_fear_c~t} = {res:{ralign 9:-3.7602}}
{lalign 8:}{space 0}{lalign 16:lowGC} = {res:{ralign 9:0}}
{lalign 8:}{space 0}{lalign 16:groupCon} = {res:{ralign 9:1}}
{lalign 8:}{space 0}{lalign 16:otroethn} = {res:{ralign 9:.0163863}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:mestizo} = {res:{ralign 9:.5468571}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:incum_voter} = {res:{ralign 9:.3612432}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:cp6r} = {res:{ralign 9:1.419602}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:edr} = {res:{ralign 9:1.887732}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:quintiles} = {res:{ralign 9:3.030001}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:female} = {res:{ralign 9:.4657228}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:urban} = {res:{ralign 9:.7281434}} {txt:(mean)}
{lalign 8:29._at: }{space 0}{lalign 16:bgi_dec_fear_c~t} = {res:{ralign 9:-3.2602}}
{lalign 8:}{space 0}{lalign 16:lowGC} = {res:{ralign 9:0}}
{lalign 8:}{space 0}{lalign 16:groupCon} = {res:{ralign 9:1}}
{lalign 8:}{space 0}{lalign 16:otroethn} = {res:{ralign 9:.0163863}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:mestizo} = {res:{ralign 9:.5468571}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:incum_voter} = {res:{ralign 9:.3612432}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:cp6r} = {res:{ralign 9:1.419602}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:edr} = {res:{ralign 9:1.887732}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:quintiles} = {res:{ralign 9:3.030001}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:female} = {res:{ralign 9:.4657228}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:urban} = {res:{ralign 9:.7281434}} {txt:(mean)}
{lalign 8:30._at: }{space 0}{lalign 16:bgi_dec_fear_c~t} = {res:{ralign 9:-2.7602}}
{lalign 8:}{space 0}{lalign 16:lowGC} = {res:{ralign 9:0}}
{lalign 8:}{space 0}{lalign 16:groupCon} = {res:{ralign 9:1}}
{lalign 8:}{space 0}{lalign 16:otroethn} = {res:{ralign 9:.0163863}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:mestizo} = {res:{ralign 9:.5468571}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:incum_voter} = {res:{ralign 9:.3612432}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:cp6r} = {res:{ralign 9:1.419602}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:edr} = {res:{ralign 9:1.887732}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:quintiles} = {res:{ralign 9:3.030001}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:female} = {res:{ralign 9:.4657228}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:urban} = {res:{ralign 9:.7281434}} {txt:(mean)}
{lalign 8:31._at: }{space 0}{lalign 16:bgi_dec_fear_c~t} = {res:{ralign 9:-2.2602}}
{lalign 8:}{space 0}{lalign 16:lowGC} = {res:{ralign 9:0}}
{lalign 8:}{space 0}{lalign 16:groupCon} = {res:{ralign 9:1}}
{lalign 8:}{space 0}{lalign 16:otroethn} = {res:{ralign 9:.0163863}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:mestizo} = {res:{ralign 9:.5468571}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:incum_voter} = {res:{ralign 9:.3612432}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:cp6r} = {res:{ralign 9:1.419602}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:edr} = {res:{ralign 9:1.887732}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:quintiles} = {res:{ralign 9:3.030001}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:female} = {res:{ralign 9:.4657228}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:urban} = {res:{ralign 9:.7281434}} {txt:(mean)}
{lalign 8:32._at: }{space 0}{lalign 16:bgi_dec_fear_c~t} = {res:{ralign 9:-1.7602}}
{lalign 8:}{space 0}{lalign 16:lowGC} = {res:{ralign 9:0}}
{lalign 8:}{space 0}{lalign 16:groupCon} = {res:{ralign 9:1}}
{lalign 8:}{space 0}{lalign 16:otroethn} = {res:{ralign 9:.0163863}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:mestizo} = {res:{ralign 9:.5468571}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:incum_voter} = {res:{ralign 9:.3612432}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:cp6r} = {res:{ralign 9:1.419602}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:edr} = {res:{ralign 9:1.887732}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:quintiles} = {res:{ralign 9:3.030001}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:female} = {res:{ralign 9:.4657228}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:urban} = {res:{ralign 9:.7281434}} {txt:(mean)}
{lalign 8:33._at: }{space 0}{lalign 16:bgi_dec_fear_c~t} = {res:{ralign 9:-1.2602}}
{lalign 8:}{space 0}{lalign 16:lowGC} = {res:{ralign 9:0}}
{lalign 8:}{space 0}{lalign 16:groupCon} = {res:{ralign 9:1}}
{lalign 8:}{space 0}{lalign 16:otroethn} = {res:{ralign 9:.0163863}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:mestizo} = {res:{ralign 9:.5468571}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:incum_voter} = {res:{ralign 9:.3612432}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:cp6r} = {res:{ralign 9:1.419602}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:edr} = {res:{ralign 9:1.887732}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:quintiles} = {res:{ralign 9:3.030001}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:female} = {res:{ralign 9:.4657228}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:urban} = {res:{ralign 9:.7281434}} {txt:(mean)}
{lalign 8:34._at: }{space 0}{lalign 16:bgi_dec_fear_c~t} = {res:{ralign 9:-.7601998}}
{lalign 8:}{space 0}{lalign 16:lowGC} = {res:{ralign 9:0}}
{lalign 8:}{space 0}{lalign 16:groupCon} = {res:{ralign 9:1}}
{lalign 8:}{space 0}{lalign 16:otroethn} = {res:{ralign 9:.0163863}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:mestizo} = {res:{ralign 9:.5468571}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:incum_voter} = {res:{ralign 9:.3612432}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:cp6r} = {res:{ralign 9:1.419602}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:edr} = {res:{ralign 9:1.887732}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:quintiles} = {res:{ralign 9:3.030001}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:female} = {res:{ralign 9:.4657228}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:urban} = {res:{ralign 9:.7281434}} {txt:(mean)}
{lalign 8:35._at: }{space 0}{lalign 16:bgi_dec_fear_c~t} = {res:{ralign 9:-.2601998}}
{lalign 8:}{space 0}{lalign 16:lowGC} = {res:{ralign 9:0}}
{lalign 8:}{space 0}{lalign 16:groupCon} = {res:{ralign 9:1}}
{lalign 8:}{space 0}{lalign 16:otroethn} = {res:{ralign 9:.0163863}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:mestizo} = {res:{ralign 9:.5468571}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:incum_voter} = {res:{ralign 9:.3612432}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:cp6r} = {res:{ralign 9:1.419602}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:edr} = {res:{ralign 9:1.887732}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:quintiles} = {res:{ralign 9:3.030001}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:female} = {res:{ralign 9:.4657228}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:urban} = {res:{ralign 9:.7281434}} {txt:(mean)}
{lalign 8:36._at: }{space 0}{lalign 16:bgi_dec_fear_c~t} = {res:{ralign 9:.2398002}}
{lalign 8:}{space 0}{lalign 16:lowGC} = {res:{ralign 9:0}}
{lalign 8:}{space 0}{lalign 16:groupCon} = {res:{ralign 9:1}}
{lalign 8:}{space 0}{lalign 16:otroethn} = {res:{ralign 9:.0163863}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:mestizo} = {res:{ralign 9:.5468571}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:incum_voter} = {res:{ralign 9:.3612432}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:cp6r} = {res:{ralign 9:1.419602}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:edr} = {res:{ralign 9:1.887732}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:quintiles} = {res:{ralign 9:3.030001}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:female} = {res:{ralign 9:.4657228}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:urban} = {res:{ralign 9:.7281434}} {txt:(mean)}
{lalign 8:37._at: }{space 0}{lalign 16:bgi_dec_fear_c~t} = {res:{ralign 9:.7398002}}
{lalign 8:}{space 0}{lalign 16:lowGC} = {res:{ralign 9:0}}
{lalign 8:}{space 0}{lalign 16:groupCon} = {res:{ralign 9:1}}
{lalign 8:}{space 0}{lalign 16:otroethn} = {res:{ralign 9:.0163863}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:mestizo} = {res:{ralign 9:.5468571}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:incum_voter} = {res:{ralign 9:.3612432}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:cp6r} = {res:{ralign 9:1.419602}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:edr} = {res:{ralign 9:1.887732}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:quintiles} = {res:{ralign 9:3.030001}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:female} = {res:{ralign 9:.4657228}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:urban} = {res:{ralign 9:.7281434}} {txt:(mean)}
{lalign 8:38._at: }{space 0}{lalign 16:bgi_dec_fear_c~t} = {res:{ralign 9:1.2398}}
{lalign 8:}{space 0}{lalign 16:lowGC} = {res:{ralign 9:0}}
{lalign 8:}{space 0}{lalign 16:groupCon} = {res:{ralign 9:1}}
{lalign 8:}{space 0}{lalign 16:otroethn} = {res:{ralign 9:.0163863}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:mestizo} = {res:{ralign 9:.5468571}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:incum_voter} = {res:{ralign 9:.3612432}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:cp6r} = {res:{ralign 9:1.419602}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:edr} = {res:{ralign 9:1.887732}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:quintiles} = {res:{ralign 9:3.030001}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:female} = {res:{ralign 9:.4657228}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:urban} = {res:{ralign 9:.7281434}} {txt:(mean)}
{lalign 8:39._at: }{space 0}{lalign 16:bgi_dec_fear_c~t} = {res:{ralign 9:1.7398}}
{lalign 8:}{space 0}{lalign 16:lowGC} = {res:{ralign 9:0}}
{lalign 8:}{space 0}{lalign 16:groupCon} = {res:{ralign 9:1}}
{lalign 8:}{space 0}{lalign 16:otroethn} = {res:{ralign 9:.0163863}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:mestizo} = {res:{ralign 9:.5468571}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:incum_voter} = {res:{ralign 9:.3612432}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:cp6r} = {res:{ralign 9:1.419602}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:edr} = {res:{ralign 9:1.887732}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:quintiles} = {res:{ralign 9:3.030001}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:female} = {res:{ralign 9:.4657228}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:urban} = {res:{ralign 9:.7281434}} {txt:(mean)}
{lalign 8:40._at: }{space 0}{lalign 16:bgi_dec_fear_c~t} = {res:{ralign 9:2.2398}}
{lalign 8:}{space 0}{lalign 16:lowGC} = {res:{ralign 9:0}}
{lalign 8:}{space 0}{lalign 16:groupCon} = {res:{ralign 9:1}}
{lalign 8:}{space 0}{lalign 16:otroethn} = {res:{ralign 9:.0163863}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:mestizo} = {res:{ralign 9:.5468571}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:incum_voter} = {res:{ralign 9:.3612432}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:cp6r} = {res:{ralign 9:1.419602}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:edr} = {res:{ralign 9:1.887732}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:quintiles} = {res:{ralign 9:3.030001}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:female} = {res:{ralign 9:.4657228}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:urban} = {res:{ralign 9:.7281434}} {txt:(mean)}
{lalign 8:41._at: }{space 0}{lalign 16:bgi_dec_fear_c~t} = {res:{ralign 9:2.7398}}
{lalign 8:}{space 0}{lalign 16:lowGC} = {res:{ralign 9:0}}
{lalign 8:}{space 0}{lalign 16:groupCon} = {res:{ralign 9:1}}
{lalign 8:}{space 0}{lalign 16:otroethn} = {res:{ralign 9:.0163863}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:mestizo} = {res:{ralign 9:.5468571}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:incum_voter} = {res:{ralign 9:.3612432}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:cp6r} = {res:{ralign 9:1.419602}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:edr} = {res:{ralign 9:1.887732}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:quintiles} = {res:{ralign 9:3.030001}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:female} = {res:{ralign 9:.4657228}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:urban} = {res:{ralign 9:.7281434}} {txt:(mean)}
{lalign 8:42._at: }{space 0}{lalign 16:bgi_dec_fear_c~t} = {res:{ralign 9:3.2398}}
{lalign 8:}{space 0}{lalign 16:lowGC} = {res:{ralign 9:0}}
{lalign 8:}{space 0}{lalign 16:groupCon} = {res:{ralign 9:1}}
{lalign 8:}{space 0}{lalign 16:otroethn} = {res:{ralign 9:.0163863}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:mestizo} = {res:{ralign 9:.5468571}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:incum_voter} = {res:{ralign 9:.3612432}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:cp6r} = {res:{ralign 9:1.419602}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:edr} = {res:{ralign 9:1.887732}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:quintiles} = {res:{ralign 9:3.030001}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:female} = {res:{ralign 9:.4657228}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:urban} = {res:{ralign 9:.7281434}} {txt:(mean)}
{lalign 8:43._at: }{space 0}{lalign 16:bgi_dec_fear_c~t} = {res:{ralign 9:3.7398}}
{lalign 8:}{space 0}{lalign 16:lowGC} = {res:{ralign 9:0}}
{lalign 8:}{space 0}{lalign 16:groupCon} = {res:{ralign 9:1}}
{lalign 8:}{space 0}{lalign 16:otroethn} = {res:{ralign 9:.0163863}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:mestizo} = {res:{ralign 9:.5468571}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:incum_voter} = {res:{ralign 9:.3612432}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:cp6r} = {res:{ralign 9:1.419602}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:edr} = {res:{ralign 9:1.887732}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:quintiles} = {res:{ralign 9:3.030001}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:female} = {res:{ralign 9:.4657228}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:urban} = {res:{ralign 9:.7281434}} {txt:(mean)}
{lalign 8:44._at: }{space 0}{lalign 16:bgi_dec_fear_c~t} = {res:{ralign 9:4.2398}}
{lalign 8:}{space 0}{lalign 16:lowGC} = {res:{ralign 9:0}}
{lalign 8:}{space 0}{lalign 16:groupCon} = {res:{ralign 9:1}}
{lalign 8:}{space 0}{lalign 16:otroethn} = {res:{ralign 9:.0163863}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:mestizo} = {res:{ralign 9:.5468571}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:incum_voter} = {res:{ralign 9:.3612432}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:cp6r} = {res:{ralign 9:1.419602}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:edr} = {res:{ralign 9:1.887732}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:quintiles} = {res:{ralign 9:3.030001}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:female} = {res:{ralign 9:.4657228}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:urban} = {res:{ralign 9:.7281434}} {txt:(mean)}
{lalign 8:45._at: }{space 0}{lalign 16:bgi_dec_fear_c~t} = {res:{ralign 9:4.7398}}
{lalign 8:}{space 0}{lalign 16:lowGC} = {res:{ralign 9:0}}
{lalign 8:}{space 0}{lalign 16:groupCon} = {res:{ralign 9:1}}
{lalign 8:}{space 0}{lalign 16:otroethn} = {res:{ralign 9:.0163863}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:mestizo} = {res:{ralign 9:.5468571}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:incum_voter} = {res:{ralign 9:.3612432}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:cp6r} = {res:{ralign 9:1.419602}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:edr} = {res:{ralign 9:1.887732}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:quintiles} = {res:{ralign 9:3.030001}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:female} = {res:{ralign 9:.4657228}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:urban} = {res:{ralign 9:.7281434}} {txt:(mean)}
{lalign 8:46._at: }{space 0}{lalign 16:bgi_dec_fear_c~t} = {res:{ralign 9:5.2398}}
{lalign 8:}{space 0}{lalign 16:lowGC} = {res:{ralign 9:0}}
{lalign 8:}{space 0}{lalign 16:groupCon} = {res:{ralign 9:1}}
{lalign 8:}{space 0}{lalign 16:otroethn} = {res:{ralign 9:.0163863}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:mestizo} = {res:{ralign 9:.5468571}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:incum_voter} = {res:{ralign 9:.3612432}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:cp6r} = {res:{ralign 9:1.419602}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:edr} = {res:{ralign 9:1.887732}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:quintiles} = {res:{ralign 9:3.030001}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:female} = {res:{ralign 9:.4657228}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:urban} = {res:{ralign 9:.7281434}} {txt:(mean)}
{lalign 8:47._at: }{space 0}{lalign 16:bgi_dec_fear_c~t} = {res:{ralign 9:5.7398}}
{lalign 8:}{space 0}{lalign 16:lowGC} = {res:{ralign 9:0}}
{lalign 8:}{space 0}{lalign 16:groupCon} = {res:{ralign 9:1}}
{lalign 8:}{space 0}{lalign 16:otroethn} = {res:{ralign 9:.0163863}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:mestizo} = {res:{ralign 9:.5468571}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:incum_voter} = {res:{ralign 9:.3612432}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:cp6r} = {res:{ralign 9:1.419602}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:edr} = {res:{ralign 9:1.887732}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:quintiles} = {res:{ralign 9:3.030001}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:female} = {res:{ralign 9:.4657228}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:urban} = {res:{ralign 9:.7281434}} {txt:(mean)}
{lalign 8:48._at: }{space 0}{lalign 16:bgi_dec_fear_c~t} = {res:{ralign 9:6.2398}}
{lalign 8:}{space 0}{lalign 16:lowGC} = {res:{ralign 9:0}}
{lalign 8:}{space 0}{lalign 16:groupCon} = {res:{ralign 9:1}}
{lalign 8:}{space 0}{lalign 16:otroethn} = {res:{ralign 9:.0163863}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:mestizo} = {res:{ralign 9:.5468571}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:incum_voter} = {res:{ralign 9:.3612432}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:cp6r} = {res:{ralign 9:1.419602}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:edr} = {res:{ralign 9:1.887732}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:quintiles} = {res:{ralign 9:3.030001}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:female} = {res:{ralign 9:.4657228}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:urban} = {res:{ralign 9:.7281434}} {txt:(mean)}
{lalign 8:49._at: }{space 0}{lalign 16:bgi_dec_fear_c~t} = {res:{ralign 9:6.7398}}
{lalign 8:}{space 0}{lalign 16:lowGC} = {res:{ralign 9:0}}
{lalign 8:}{space 0}{lalign 16:groupCon} = {res:{ralign 9:1}}
{lalign 8:}{space 0}{lalign 16:otroethn} = {res:{ralign 9:.0163863}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:mestizo} = {res:{ralign 9:.5468571}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:incum_voter} = {res:{ralign 9:.3612432}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:cp6r} = {res:{ralign 9:1.419602}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:edr} = {res:{ralign 9:1.887732}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:quintiles} = {res:{ralign 9:3.030001}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:female} = {res:{ralign 9:.4657228}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:urban} = {res:{ralign 9:.7281434}} {txt:(mean)}
{lalign 8:50._at: }{space 0}{lalign 16:bgi_dec_fear_c~t} = {res:{ralign 9:7.2398}}
{lalign 8:}{space 0}{lalign 16:lowGC} = {res:{ralign 9:0}}
{lalign 8:}{space 0}{lalign 16:groupCon} = {res:{ralign 9:1}}
{lalign 8:}{space 0}{lalign 16:otroethn} = {res:{ralign 9:.0163863}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:mestizo} = {res:{ralign 9:.5468571}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:incum_voter} = {res:{ralign 9:.3612432}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:cp6r} = {res:{ralign 9:1.419602}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:edr} = {res:{ralign 9:1.887732}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:quintiles} = {res:{ralign 9:3.030001}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:female} = {res:{ralign 9:.4657228}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:urban} = {res:{ralign 9:.7281434}} {txt:(mean)}
{lalign 8:51._at: }{space 0}{lalign 16:bgi_dec_fear_c~t} = {res:{ralign 9:7.7398}}
{lalign 8:}{space 0}{lalign 16:lowGC} = {res:{ralign 9:0}}
{lalign 8:}{space 0}{lalign 16:groupCon} = {res:{ralign 9:1}}
{lalign 8:}{space 0}{lalign 16:otroethn} = {res:{ralign 9:.0163863}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:mestizo} = {res:{ralign 9:.5468571}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:incum_voter} = {res:{ralign 9:.3612432}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:cp6r} = {res:{ralign 9:1.419602}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:edr} = {res:{ralign 9:1.887732}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:quintiles} = {res:{ralign 9:3.030001}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:female} = {res:{ralign 9:.4657228}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:urban} = {res:{ralign 9:.7281434}} {txt:(mean)}
{lalign 8:52._at: }{space 0}{lalign 16:bgi_dec_fear_c~t} = {res:{ralign 9:8.2398}}
{lalign 8:}{space 0}{lalign 16:lowGC} = {res:{ralign 9:0}}
{lalign 8:}{space 0}{lalign 16:groupCon} = {res:{ralign 9:1}}
{lalign 8:}{space 0}{lalign 16:otroethn} = {res:{ralign 9:.0163863}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:mestizo} = {res:{ralign 9:.5468571}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:incum_voter} = {res:{ralign 9:.3612432}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:cp6r} = {res:{ralign 9:1.419602}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:edr} = {res:{ralign 9:1.887732}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:quintiles} = {res:{ralign 9:3.030001}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:female} = {res:{ralign 9:.4657228}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:urban} = {res:{ralign 9:.7281434}} {txt:(mean)}
{lalign 8:53._at: }{space 0}{lalign 16:bgi_dec_fear_c~t} = {res:{ralign 9:8.7398}}
{lalign 8:}{space 0}{lalign 16:lowGC} = {res:{ralign 9:0}}
{lalign 8:}{space 0}{lalign 16:groupCon} = {res:{ralign 9:1}}
{lalign 8:}{space 0}{lalign 16:otroethn} = {res:{ralign 9:.0163863}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:mestizo} = {res:{ralign 9:.5468571}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:incum_voter} = {res:{ralign 9:.3612432}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:cp6r} = {res:{ralign 9:1.419602}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:edr} = {res:{ralign 9:1.887732}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:quintiles} = {res:{ralign 9:3.030001}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:female} = {res:{ralign 9:.4657228}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:urban} = {res:{ralign 9:.7281434}} {txt:(mean)}
{lalign 8:54._at: }{space 0}{lalign 16:bgi_dec_fear_c~t} = {res:{ralign 9:9.2398}}
{lalign 8:}{space 0}{lalign 16:lowGC} = {res:{ralign 9:0}}
{lalign 8:}{space 0}{lalign 16:groupCon} = {res:{ralign 9:1}}
{lalign 8:}{space 0}{lalign 16:otroethn} = {res:{ralign 9:.0163863}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:mestizo} = {res:{ralign 9:.5468571}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:incum_voter} = {res:{ralign 9:.3612432}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:cp6r} = {res:{ralign 9:1.419602}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:edr} = {res:{ralign 9:1.887732}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:quintiles} = {res:{ralign 9:3.030001}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:female} = {res:{ralign 9:.4657228}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:urban} = {res:{ralign 9:.7281434}} {txt:(mean)}

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{txt}{space 9}47  {c |}{col 14}{res}{space 2} 5.722367{col 26}{space 2} .2191944{col 37}{space 1}   26.11{col 46}{space 3}0.000{col 54}{space 4} 5.292754{col 67}{space 3}  6.15198
{txt}{space 9}48  {c |}{col 14}{res}{space 2} 5.653694{col 26}{space 2} .2334377{col 37}{space 1}   24.22{col 46}{space 3}0.000{col 54}{space 4} 5.196165{col 67}{space 3} 6.111224
{txt}{space 9}49  {c |}{col 14}{res}{space 2} 5.585022{col 26}{space 2} .2482035{col 37}{space 1}   22.50{col 46}{space 3}0.000{col 54}{space 4} 5.098552{col 67}{space 3} 6.071491
{txt}{space 9}50  {c |}{col 14}{res}{space 2} 5.516349{col 26}{space 2} .2634038{col 37}{space 1}   20.94{col 46}{space 3}0.000{col 54}{space 4} 5.000087{col 67}{space 3} 6.032611
{txt}{space 9}51  {c |}{col 14}{res}{space 2} 5.447676{col 26}{space 2} .2789677{col 37}{space 1}   19.53{col 46}{space 3}0.000{col 54}{space 4}  4.90091{col 67}{space 3} 5.994443
{txt}{space 9}52  {c |}{col 14}{res}{space 2} 5.379003{col 26}{space 2} .2948375{col 37}{space 1}   18.24{col 46}{space 3}0.000{col 54}{space 4} 4.801132{col 67}{space 3} 5.956874
{txt}{space 9}53  {c |}{col 14}{res}{space 2} 5.310331{col 26}{space 2} .3109665{col 37}{space 1}   17.08{col 46}{space 3}0.000{col 54}{space 4} 4.700847{col 67}{space 3} 5.919814
{txt}{space 9}54  {c |}{col 14}{res}{space 2} 5.241658{col 26}{space 2} .3273163{col 37}{space 1}   16.01{col 46}{space 3}0.000{col 54}{space 4}  4.60013{col 67}{space 3} 5.883186
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. est store groupCon3
{txt}
{com}. capture drop where
{txt}
{com}. capture drop pipe
{txt}
{com}. gen where=5
{txt}
{com}. gen pipe="|"
{txt}
{com}. sum bgi_dec_fear_cent if groupCon~=.

{txt}    Variable {c |}        Obs        Mean    Std. dev.       Min        Max
{hline 13}{c +}{hline 57}
bgi_dec_fe~t {c |}{res}     23,056    1.398887     3.87253    -3.7602   9.444098
{txt}
{com}. local minbgi=round(r(min))
{txt}
{com}. local maxbgi=round(r(max))
{txt}
{com}. estimates restore groupCon3
{txt}(results {stata estimates replay groupCon3:groupCon3} are active now)

{com}. marginsplot, ///
>         plotopts(recast(line) mcolor(black) lcolor(black)) ///
>         plot1opts(lpattern(dash)) plot2opts(lpattern(solid)) ///
>         noci ///
>         title("") xtitle("Between-Group Inequality (mean-centered)") xscale(range(`minbgi' `maxbgi')) ///
>         xlabel(`minbgi'(1)`maxbgi') ///
>         ylabel(5(.5)7) ///
>         ytitle("Predicted Support for Democratic Principles") ///
>         legend(order(1 "Low Group" "Consciousness" 2 "High Group" "Consciousness")) ///
>         legend(justification(center)) ///
>         graphregion(color(gs15)) scale(1.2) ///
>         addplot(scatter where bgi_dec_fear_cent if groupCon~=., ms(none) mlabel(pipe) mlabcolor(black) mlabpos(0) legend(off))
{res}
{text}{p 0 0 2}Variables that uniquely identify margins: {bf:bgi_dec_fear_cent _atopt}{p_end}
{text}Multiple {bf:at()} options specified:
{text}{p 6 10 2}_atoption=1: (mean) _factor (mean) _continuous bgi_dec_fear_cent=(-3.760199785232544(.5)9.444098472595215) lowGC=(1) groupCon=(0){p_end}
{text}{p 6 10 2}_atoption=2: (mean) _factor (mean) _continuous bgi_dec_fear_cent=(-3.760199785232544(.5)9.444098472595215) lowGC=(0) groupCon=(1){p_end}
{res}{txt}
{com}. graph save "groupCon3PoP.gph", replace
{res}{txt}file {bf:groupCon3PoP.gph} saved

{com}. graph export "groupCon3PoP.pdf", as(pdf) replace
{txt}{p 0 4 2}
file {bf}
groupCon3PoP.pdf{rm}
saved as
PDF
format
{p_end}

{com}. 
. 
. mixed demprin_i c.v2pepwrsoc_rev##(c.lowGC c.groupCon) mestizo otroethn incum_voter cp6r edr quintile female urban [pweight=weight1500] || country_year: lowGC groupCon, cov(independent)
{res}
{txt}Obtaining starting values by EM ...
{res}
{txt}Performing gradient-based optimization: {res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-40411.384}  
Iteration 1:{space 3}log pseudolikelihood = {res: -40410.97}  
Iteration 2:{space 3}log pseudolikelihood = {res:-40410.964}  
Iteration 3:{space 3}log pseudolikelihood = {res:-40410.964}  
{res}
{txt}Computing standard errors ...
{res}
{txt}Mixed-effects regression{col 49}Number of obs{col 67}={col 69}{res}    21,939
{txt}Group variable: {res}country_year{col 49}{txt}Number of groups{col 67}={col 69}{res}        23
{txt}{col 49}Obs per group:
{col 63}min{col 67}={col 69}{res}       563
{txt}{col 63}avg{col 67}={col 69}{res}     953.9
{txt}{col 63}max{col 67}={col 69}{res}     2,478
{col 49}{txt}Wald chi2({res}13{txt}){col 67}={col 70}{res}   287.40
{txt}Log pseudolikelihood = {res}-40410.964{col 49}{txt}Prob > chi2{col 67}={col 73}{res}0.0000

{txt}{ralign 93:(Std. err. adjusted for {res:23} clusters in {res:country_year})}
{hline 28}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 29}{c |}{col 41}    Robust
{col 1}                  demprin_i{col 29}{c |} Coefficient{col 41}  std. err.{col 53}      z{col 61}   P>|z|{col 69}     [95% con{col 82}f. interval]
{hline 28}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 13}v2pepwrsoc_rev {c |}{col 29}{res}{space 2}-.1904738{col 41}{space 2}  .179971{col 52}{space 1}   -1.06{col 61}{space 3}0.290{col 69}{space 4}-.5432104{col 82}{space 3} .1622629
{txt}{space 22}lowGC {c |}{col 29}{res}{space 2}-.0724692{col 41}{space 2}  .075114{col 52}{space 1}   -0.96{col 61}{space 3}0.335{col 69}{space 4}-.2196899{col 82}{space 3} .0747515
{txt}{space 19}groupCon {c |}{col 29}{res}{space 2} .2695714{col 41}{space 2}  .175518{col 52}{space 1}    1.54{col 61}{space 3}0.125{col 69}{space 4}-.0744374{col 82}{space 3} .6135803
{txt}{space 27} {c |}
{space 3}c.v2pepwrsoc_rev#c.lowGC {c |}{col 29}{res}{space 2} .0371639{col 41}{space 2} .0544454{col 52}{space 1}    0.68{col 61}{space 3}0.495{col 69}{space 4}-.0695471{col 82}{space 3} .1438749
{txt}{space 27} {c |}
c.v2pepwrsoc_rev#c.groupCon {c |}{col 29}{res}{space 2} .0395472{col 41}{space 2} .1425873{col 52}{space 1}    0.28{col 61}{space 3}0.782{col 69}{space 4}-.2399188{col 82}{space 3} .3190132
{txt}{space 27} {c |}
{space 20}mestizo {c |}{col 29}{res}{space 2} .0164136{col 41}{space 2} .0680095{col 52}{space 1}    0.24{col 61}{space 3}0.809{col 69}{space 4}-.1168826{col 82}{space 3} .1497098
{txt}{space 19}otroethn {c |}{col 29}{res}{space 2} .1302185{col 41}{space 2}   .13521{col 52}{space 1}    0.96{col 61}{space 3}0.336{col 69}{space 4}-.1347882{col 82}{space 3} .3952252
{txt}{space 16}incum_voter {c |}{col 29}{res}{space 2} .1719278{col 41}{space 2} .0445061{col 52}{space 1}    3.86{col 61}{space 3}0.000{col 69}{space 4} .0846975{col 82}{space 3} .2591581
{txt}{space 23}cp6r {c |}{col 29}{res}{space 2}-.0053145{col 41}{space 2} .0257291{col 52}{space 1}   -0.21{col 61}{space 3}0.836{col 69}{space 4}-.0557427{col 82}{space 3} .0451136
{txt}{space 24}edr {c |}{col 29}{res}{space 2} .2310713{col 41}{space 2} .0299425{col 52}{space 1}    7.72{col 61}{space 3}0.000{col 69}{space 4} .1723851{col 82}{space 3} .2897575
{txt}{space 18}quintiles {c |}{col 29}{res}{space 2} .0216743{col 41}{space 2} .0159033{col 52}{space 1}    1.36{col 61}{space 3}0.173{col 69}{space 4}-.0094956{col 82}{space 3} .0528442
{txt}{space 21}female {c |}{col 29}{res}{space 2}-.1759055{col 41}{space 2} .0351343{col 52}{space 1}   -5.01{col 61}{space 3}0.000{col 69}{space 4}-.2447675{col 82}{space 3}-.1070436
{txt}{space 22}urban {c |}{col 29}{res}{space 2}-.1366812{col 41}{space 2} .0371793{col 52}{space 1}   -3.68{col 61}{space 3}0.000{col 69}{space 4}-.2095514{col 82}{space 3} -.063811
{txt}{space 22}_cons {c |}{col 29}{res}{space 2} 5.636031{col 41}{space 2} .2587252{col 52}{space 1}   21.78{col 61}{space 3}0.000{col 69}{space 4} 5.128939{col 82}{space 3} 6.143123
{txt}{hline 28}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{txt}{hline 29}{c TT}{hline 48}
{col 30}{c |}{col 34}{col 46}Robust{col 63}
{col 3}Random-effects parameters{col 30}{c |}{col 34}Estimate{col 45}std. err.{col 59}[95% conf. interval]
{hline 29}{c +}{hline 48}
{res}country_year{txt}: Independent{col 30}{c |}
{space 18}var(lowGC) {c |}{res}{col 33} 7.25e-15{col 44} 8.52e-10{col 58}        0{col 70}        .
{txt}{space 15}var(groupCon) {c |}{res}{col 33} .0443738{col 44} .1762496{col 58} .0000185{col 70} 106.6684
{txt}{space 18}var(_cons) {c |}{res}{col 33} .4702959{col 44} .1469008{col 58} .2549713{col 70} .8674632
{txt}{hline 29}{c +}{hline 48}
{col 16}var(Residual){col 30}{c |}{res}{col 33} 4.149834{col 44}  .181524{col 58} 3.808878{col 70} 4.521312
{txt}{hline 29}{c BT}{hline 48}

{p 0 9 2}Warning: Sampling weights were 
specified only at the first level 
in a multilevel model. If these weights are 
indicative of overall and not conditional 
inclusion probabilities, then 
{help mixed##sampling:results may be biased}.
{p_end}

{com}. estimates store model3d
{txt}
{com}. test c.v2pepwrsoc_rev#c.lowGC=c.v2pepwrsoc_rev#c.groupCon

{p 0 7}{space 1}{text:( 1)}{space 1} {res}[demprin_i]c.v2pepwrsoc_rev#c.lowGC - [demprin_i]c.v2pepwrsoc_rev#c.groupCon = 0{p_end}

{txt}{col 12}chi2(  1) ={res}    0.00
{txt}{col 10}Prob > chi2 =  {res}  0.9894
{txt}
{com}. sum v2pepwrsoc_rev if groupCon~=.

{txt}    Variable {c |}        Obs        Mean    Std. dev.       Min        Max
{hline 13}{c +}{hline 57}
v2pepwrsoc~v {c |}{res}     23,056   -.8525609    .7220934     -2.376       .627
{txt}
{com}. local minexcl=(r(min))
{txt}
{com}. local maxexcl=(r(max))
{txt}
{com}. estimates restore model3d
{txt}(results {stata estimates replay model3d:model3d} are active now)

{com}. margins, atmeans at(v2pepwrsoc_rev=(`minexcl'(.1)`maxexcl') lowGC=(1) groupCon=(0)) at(v2pepwrsoc_rev=(`minexcl'(.1)`maxexcl') lowGC=(0) groupCon=(1)) post
{res}
{txt}{col 1}Adjusted predictions{col 57}{lalign 13:Number of obs}{col 70} = {res}{ralign 6:21,939}
{txt}{col 1}Model VCE: {res:Robust}

{txt}{p2colset 1 13 13 2}{...}
{p2col:Expression:}{res:Linear prediction, fixed portion, predict()}{p_end}
{p2colreset}{...}
{lalign 8:1._at: }{space 0}{lalign 14:v2pepwrsoc_rev} = {res:{ralign 9:-2.376}}
{lalign 8:}{space 0}{lalign 14:lowGC} = {res:{ralign 9:1}}
{lalign 8:}{space 0}{lalign 14:groupCon} = {res:{ralign 9:0}}
{lalign 8:}{space 0}{lalign 14:mestizo} = {res:{ralign 9:.5468571}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:otroethn} = {res:{ralign 9:.0163863}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:incum_voter} = {res:{ralign 9:.3612432}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:cp6r} = {res:{ralign 9:1.419602}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:edr} = {res:{ralign 9:1.887732}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:quintiles} = {res:{ralign 9:3.030001}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:female} = {res:{ralign 9:.4657228}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:urban} = {res:{ralign 9:.7281434}} {txt:(mean)}
{lalign 8:2._at: }{space 0}{lalign 14:v2pepwrsoc_rev} = {res:{ralign 9:-2.276}}
{lalign 8:}{space 0}{lalign 14:lowGC} = {res:{ralign 9:1}}
{lalign 8:}{space 0}{lalign 14:groupCon} = {res:{ralign 9:0}}
{lalign 8:}{space 0}{lalign 14:mestizo} = {res:{ralign 9:.5468571}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:otroethn} = {res:{ralign 9:.0163863}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:incum_voter} = {res:{ralign 9:.3612432}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:cp6r} = {res:{ralign 9:1.419602}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:edr} = {res:{ralign 9:1.887732}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:quintiles} = {res:{ralign 9:3.030001}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:female} = {res:{ralign 9:.4657228}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:urban} = {res:{ralign 9:.7281434}} {txt:(mean)}
{lalign 8:3._at: }{space 0}{lalign 14:v2pepwrsoc_rev} = {res:{ralign 9:-2.176}}
{lalign 8:}{space 0}{lalign 14:lowGC} = {res:{ralign 9:1}}
{lalign 8:}{space 0}{lalign 14:groupCon} = {res:{ralign 9:0}}
{lalign 8:}{space 0}{lalign 14:mestizo} = {res:{ralign 9:.5468571}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:otroethn} = {res:{ralign 9:.0163863}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:incum_voter} = {res:{ralign 9:.3612432}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:cp6r} = {res:{ralign 9:1.419602}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:edr} = {res:{ralign 9:1.887732}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:quintiles} = {res:{ralign 9:3.030001}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:female} = {res:{ralign 9:.4657228}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:urban} = {res:{ralign 9:.7281434}} {txt:(mean)}
{lalign 8:4._at: }{space 0}{lalign 14:v2pepwrsoc_rev} = {res:{ralign 9:-2.076}}
{lalign 8:}{space 0}{lalign 14:lowGC} = {res:{ralign 9:1}}
{lalign 8:}{space 0}{lalign 14:groupCon} = {res:{ralign 9:0}}
{lalign 8:}{space 0}{lalign 14:mestizo} = {res:{ralign 9:.5468571}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:otroethn} = {res:{ralign 9:.0163863}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:incum_voter} = {res:{ralign 9:.3612432}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:cp6r} = {res:{ralign 9:1.419602}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:edr} = {res:{ralign 9:1.887732}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:quintiles} = {res:{ralign 9:3.030001}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:female} = {res:{ralign 9:.4657228}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:urban} = {res:{ralign 9:.7281434}} {txt:(mean)}
{lalign 8:5._at: }{space 0}{lalign 14:v2pepwrsoc_rev} = {res:{ralign 9:-1.976}}
{lalign 8:}{space 0}{lalign 14:lowGC} = {res:{ralign 9:1}}
{lalign 8:}{space 0}{lalign 14:groupCon} = {res:{ralign 9:0}}
{lalign 8:}{space 0}{lalign 14:mestizo} = {res:{ralign 9:.5468571}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:otroethn} = {res:{ralign 9:.0163863}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:incum_voter} = {res:{ralign 9:.3612432}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:cp6r} = {res:{ralign 9:1.419602}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:edr} = {res:{ralign 9:1.887732}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:quintiles} = {res:{ralign 9:3.030001}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:female} = {res:{ralign 9:.4657228}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:urban} = {res:{ralign 9:.7281434}} {txt:(mean)}
{lalign 8:6._at: }{space 0}{lalign 14:v2pepwrsoc_rev} = {res:{ralign 9:-1.876}}
{lalign 8:}{space 0}{lalign 14:lowGC} = {res:{ralign 9:1}}
{lalign 8:}{space 0}{lalign 14:groupCon} = {res:{ralign 9:0}}
{lalign 8:}{space 0}{lalign 14:mestizo} = {res:{ralign 9:.5468571}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:otroethn} = {res:{ralign 9:.0163863}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:incum_voter} = {res:{ralign 9:.3612432}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:cp6r} = {res:{ralign 9:1.419602}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:edr} = {res:{ralign 9:1.887732}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:quintiles} = {res:{ralign 9:3.030001}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:female} = {res:{ralign 9:.4657228}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:urban} = {res:{ralign 9:.7281434}} {txt:(mean)}
{lalign 8:7._at: }{space 0}{lalign 14:v2pepwrsoc_rev} = {res:{ralign 9:-1.776}}
{lalign 8:}{space 0}{lalign 14:lowGC} = {res:{ralign 9:1}}
{lalign 8:}{space 0}{lalign 14:groupCon} = {res:{ralign 9:0}}
{lalign 8:}{space 0}{lalign 14:mestizo} = {res:{ralign 9:.5468571}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:otroethn} = {res:{ralign 9:.0163863}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:incum_voter} = {res:{ralign 9:.3612432}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:cp6r} = {res:{ralign 9:1.419602}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:edr} = {res:{ralign 9:1.887732}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:quintiles} = {res:{ralign 9:3.030001}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:female} = {res:{ralign 9:.4657228}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:urban} = {res:{ralign 9:.7281434}} {txt:(mean)}
{lalign 8:8._at: }{space 0}{lalign 14:v2pepwrsoc_rev} = {res:{ralign 9:-1.676}}
{lalign 8:}{space 0}{lalign 14:lowGC} = {res:{ralign 9:1}}
{lalign 8:}{space 0}{lalign 14:groupCon} = {res:{ralign 9:0}}
{lalign 8:}{space 0}{lalign 14:mestizo} = {res:{ralign 9:.5468571}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:otroethn} = {res:{ralign 9:.0163863}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:incum_voter} = {res:{ralign 9:.3612432}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:cp6r} = {res:{ralign 9:1.419602}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:edr} = {res:{ralign 9:1.887732}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:quintiles} = {res:{ralign 9:3.030001}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:female} = {res:{ralign 9:.4657228}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:urban} = {res:{ralign 9:.7281434}} {txt:(mean)}
{lalign 8:9._at: }{space 0}{lalign 14:v2pepwrsoc_rev} = {res:{ralign 9:-1.576}}
{lalign 8:}{space 0}{lalign 14:lowGC} = {res:{ralign 9:1}}
{lalign 8:}{space 0}{lalign 14:groupCon} = {res:{ralign 9:0}}
{lalign 8:}{space 0}{lalign 14:mestizo} = {res:{ralign 9:.5468571}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:otroethn} = {res:{ralign 9:.0163863}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:incum_voter} = {res:{ralign 9:.3612432}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:cp6r} = {res:{ralign 9:1.419602}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:edr} = {res:{ralign 9:1.887732}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:quintiles} = {res:{ralign 9:3.030001}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:female} = {res:{ralign 9:.4657228}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:urban} = {res:{ralign 9:.7281434}} {txt:(mean)}
{lalign 8:10._at: }{space 0}{lalign 14:v2pepwrsoc_rev} = {res:{ralign 9:-1.476}}
{lalign 8:}{space 0}{lalign 14:lowGC} = {res:{ralign 9:1}}
{lalign 8:}{space 0}{lalign 14:groupCon} = {res:{ralign 9:0}}
{lalign 8:}{space 0}{lalign 14:mestizo} = {res:{ralign 9:.5468571}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:otroethn} = {res:{ralign 9:.0163863}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:incum_voter} = {res:{ralign 9:.3612432}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:cp6r} = {res:{ralign 9:1.419602}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:edr} = {res:{ralign 9:1.887732}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:quintiles} = {res:{ralign 9:3.030001}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:female} = {res:{ralign 9:.4657228}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:urban} = {res:{ralign 9:.7281434}} {txt:(mean)}
{lalign 8:11._at: }{space 0}{lalign 14:v2pepwrsoc_rev} = {res:{ralign 9:-1.376}}
{lalign 8:}{space 0}{lalign 14:lowGC} = {res:{ralign 9:1}}
{lalign 8:}{space 0}{lalign 14:groupCon} = {res:{ralign 9:0}}
{lalign 8:}{space 0}{lalign 14:mestizo} = {res:{ralign 9:.5468571}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:otroethn} = {res:{ralign 9:.0163863}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:incum_voter} = {res:{ralign 9:.3612432}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:cp6r} = {res:{ralign 9:1.419602}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:edr} = {res:{ralign 9:1.887732}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:quintiles} = {res:{ralign 9:3.030001}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:female} = {res:{ralign 9:.4657228}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:urban} = {res:{ralign 9:.7281434}} {txt:(mean)}
{lalign 8:12._at: }{space 0}{lalign 14:v2pepwrsoc_rev} = {res:{ralign 9:-1.276}}
{lalign 8:}{space 0}{lalign 14:lowGC} = {res:{ralign 9:1}}
{lalign 8:}{space 0}{lalign 14:groupCon} = {res:{ralign 9:0}}
{lalign 8:}{space 0}{lalign 14:mestizo} = {res:{ralign 9:.5468571}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:otroethn} = {res:{ralign 9:.0163863}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:incum_voter} = {res:{ralign 9:.3612432}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:cp6r} = {res:{ralign 9:1.419602}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:edr} = {res:{ralign 9:1.887732}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:quintiles} = {res:{ralign 9:3.030001}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:female} = {res:{ralign 9:.4657228}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:urban} = {res:{ralign 9:.7281434}} {txt:(mean)}
{lalign 8:13._at: }{space 0}{lalign 14:v2pepwrsoc_rev} = {res:{ralign 9:-1.176}}
{lalign 8:}{space 0}{lalign 14:lowGC} = {res:{ralign 9:1}}
{lalign 8:}{space 0}{lalign 14:groupCon} = {res:{ralign 9:0}}
{lalign 8:}{space 0}{lalign 14:mestizo} = {res:{ralign 9:.5468571}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:otroethn} = {res:{ralign 9:.0163863}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:incum_voter} = {res:{ralign 9:.3612432}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:cp6r} = {res:{ralign 9:1.419602}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:edr} = {res:{ralign 9:1.887732}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:quintiles} = {res:{ralign 9:3.030001}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:female} = {res:{ralign 9:.4657228}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:urban} = {res:{ralign 9:.7281434}} {txt:(mean)}
{lalign 8:14._at: }{space 0}{lalign 14:v2pepwrsoc_rev} = {res:{ralign 9:-1.076}}
{lalign 8:}{space 0}{lalign 14:lowGC} = {res:{ralign 9:1}}
{lalign 8:}{space 0}{lalign 14:groupCon} = {res:{ralign 9:0}}
{lalign 8:}{space 0}{lalign 14:mestizo} = {res:{ralign 9:.5468571}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:otroethn} = {res:{ralign 9:.0163863}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:incum_voter} = {res:{ralign 9:.3612432}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:cp6r} = {res:{ralign 9:1.419602}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:edr} = {res:{ralign 9:1.887732}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:quintiles} = {res:{ralign 9:3.030001}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:female} = {res:{ralign 9:.4657228}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:urban} = {res:{ralign 9:.7281434}} {txt:(mean)}
{lalign 8:15._at: }{space 0}{lalign 14:v2pepwrsoc_rev} = {res:{ralign 9:-.9759999}}
{lalign 8:}{space 0}{lalign 14:lowGC} = {res:{ralign 9:1}}
{lalign 8:}{space 0}{lalign 14:groupCon} = {res:{ralign 9:0}}
{lalign 8:}{space 0}{lalign 14:mestizo} = {res:{ralign 9:.5468571}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:otroethn} = {res:{ralign 9:.0163863}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:incum_voter} = {res:{ralign 9:.3612432}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:cp6r} = {res:{ralign 9:1.419602}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:edr} = {res:{ralign 9:1.887732}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:quintiles} = {res:{ralign 9:3.030001}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:female} = {res:{ralign 9:.4657228}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:urban} = {res:{ralign 9:.7281434}} {txt:(mean)}
{lalign 8:16._at: }{space 0}{lalign 14:v2pepwrsoc_rev} = {res:{ralign 9:-.8759999}}
{lalign 8:}{space 0}{lalign 14:lowGC} = {res:{ralign 9:1}}
{lalign 8:}{space 0}{lalign 14:groupCon} = {res:{ralign 9:0}}
{lalign 8:}{space 0}{lalign 14:mestizo} = {res:{ralign 9:.5468571}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:otroethn} = {res:{ralign 9:.0163863}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:incum_voter} = {res:{ralign 9:.3612432}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:cp6r} = {res:{ralign 9:1.419602}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:edr} = {res:{ralign 9:1.887732}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:quintiles} = {res:{ralign 9:3.030001}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:female} = {res:{ralign 9:.4657228}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:urban} = {res:{ralign 9:.7281434}} {txt:(mean)}
{lalign 8:17._at: }{space 0}{lalign 14:v2pepwrsoc_rev} = {res:{ralign 9:-.7759999}}
{lalign 8:}{space 0}{lalign 14:lowGC} = {res:{ralign 9:1}}
{lalign 8:}{space 0}{lalign 14:groupCon} = {res:{ralign 9:0}}
{lalign 8:}{space 0}{lalign 14:mestizo} = {res:{ralign 9:.5468571}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:otroethn} = {res:{ralign 9:.0163863}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:incum_voter} = {res:{ralign 9:.3612432}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:cp6r} = {res:{ralign 9:1.419602}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:edr} = {res:{ralign 9:1.887732}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:quintiles} = {res:{ralign 9:3.030001}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:female} = {res:{ralign 9:.4657228}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:urban} = {res:{ralign 9:.7281434}} {txt:(mean)}
{lalign 8:18._at: }{space 0}{lalign 14:v2pepwrsoc_rev} = {res:{ralign 9:-.6759999}}
{lalign 8:}{space 0}{lalign 14:lowGC} = {res:{ralign 9:1}}
{lalign 8:}{space 0}{lalign 14:groupCon} = {res:{ralign 9:0}}
{lalign 8:}{space 0}{lalign 14:mestizo} = {res:{ralign 9:.5468571}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:otroethn} = {res:{ralign 9:.0163863}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:incum_voter} = {res:{ralign 9:.3612432}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:cp6r} = {res:{ralign 9:1.419602}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:edr} = {res:{ralign 9:1.887732}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:quintiles} = {res:{ralign 9:3.030001}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:female} = {res:{ralign 9:.4657228}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:urban} = {res:{ralign 9:.7281434}} {txt:(mean)}
{lalign 8:19._at: }{space 0}{lalign 14:v2pepwrsoc_rev} = {res:{ralign 9:-.5759999}}
{lalign 8:}{space 0}{lalign 14:lowGC} = {res:{ralign 9:1}}
{lalign 8:}{space 0}{lalign 14:groupCon} = {res:{ralign 9:0}}
{lalign 8:}{space 0}{lalign 14:mestizo} = {res:{ralign 9:.5468571}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:otroethn} = {res:{ralign 9:.0163863}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:incum_voter} = {res:{ralign 9:.3612432}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:cp6r} = {res:{ralign 9:1.419602}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:edr} = {res:{ralign 9:1.887732}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:quintiles} = {res:{ralign 9:3.030001}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:female} = {res:{ralign 9:.4657228}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:urban} = {res:{ralign 9:.7281434}} {txt:(mean)}
{lalign 8:20._at: }{space 0}{lalign 14:v2pepwrsoc_rev} = {res:{ralign 9:-.4759999}}
{lalign 8:}{space 0}{lalign 14:lowGC} = {res:{ralign 9:1}}
{lalign 8:}{space 0}{lalign 14:groupCon} = {res:{ralign 9:0}}
{lalign 8:}{space 0}{lalign 14:mestizo} = {res:{ralign 9:.5468571}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:otroethn} = {res:{ralign 9:.0163863}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:incum_voter} = {res:{ralign 9:.3612432}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:cp6r} = {res:{ralign 9:1.419602}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:edr} = {res:{ralign 9:1.887732}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:quintiles} = {res:{ralign 9:3.030001}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:female} = {res:{ralign 9:.4657228}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:urban} = {res:{ralign 9:.7281434}} {txt:(mean)}
{lalign 8:21._at: }{space 0}{lalign 14:v2pepwrsoc_rev} = {res:{ralign 9:-.3759999}}
{lalign 8:}{space 0}{lalign 14:lowGC} = {res:{ralign 9:1}}
{lalign 8:}{space 0}{lalign 14:groupCon} = {res:{ralign 9:0}}
{lalign 8:}{space 0}{lalign 14:mestizo} = {res:{ralign 9:.5468571}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:otroethn} = {res:{ralign 9:.0163863}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:incum_voter} = {res:{ralign 9:.3612432}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:cp6r} = {res:{ralign 9:1.419602}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:edr} = {res:{ralign 9:1.887732}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:quintiles} = {res:{ralign 9:3.030001}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:female} = {res:{ralign 9:.4657228}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:urban} = {res:{ralign 9:.7281434}} {txt:(mean)}
{lalign 8:22._at: }{space 0}{lalign 14:v2pepwrsoc_rev} = {res:{ralign 9:-.2759999}}
{lalign 8:}{space 0}{lalign 14:lowGC} = {res:{ralign 9:1}}
{lalign 8:}{space 0}{lalign 14:groupCon} = {res:{ralign 9:0}}
{lalign 8:}{space 0}{lalign 14:mestizo} = {res:{ralign 9:.5468571}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:otroethn} = {res:{ralign 9:.0163863}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:incum_voter} = {res:{ralign 9:.3612432}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:cp6r} = {res:{ralign 9:1.419602}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:edr} = {res:{ralign 9:1.887732}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:quintiles} = {res:{ralign 9:3.030001}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:female} = {res:{ralign 9:.4657228}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:urban} = {res:{ralign 9:.7281434}} {txt:(mean)}
{lalign 8:23._at: }{space 0}{lalign 14:v2pepwrsoc_rev} = {res:{ralign 9:-.1759999}}
{lalign 8:}{space 0}{lalign 14:lowGC} = {res:{ralign 9:1}}
{lalign 8:}{space 0}{lalign 14:groupCon} = {res:{ralign 9:0}}
{lalign 8:}{space 0}{lalign 14:mestizo} = {res:{ralign 9:.5468571}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:otroethn} = {res:{ralign 9:.0163863}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:incum_voter} = {res:{ralign 9:.3612432}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:cp6r} = {res:{ralign 9:1.419602}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:edr} = {res:{ralign 9:1.887732}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:quintiles} = {res:{ralign 9:3.030001}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:female} = {res:{ralign 9:.4657228}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:urban} = {res:{ralign 9:.7281434}} {txt:(mean)}
{lalign 8:24._at: }{space 0}{lalign 14:v2pepwrsoc_rev} = {res:{ralign 9:-.0759999}}
{lalign 8:}{space 0}{lalign 14:lowGC} = {res:{ralign 9:1}}
{lalign 8:}{space 0}{lalign 14:groupCon} = {res:{ralign 9:0}}
{lalign 8:}{space 0}{lalign 14:mestizo} = {res:{ralign 9:.5468571}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:otroethn} = {res:{ralign 9:.0163863}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:incum_voter} = {res:{ralign 9:.3612432}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:cp6r} = {res:{ralign 9:1.419602}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:edr} = {res:{ralign 9:1.887732}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:quintiles} = {res:{ralign 9:3.030001}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:female} = {res:{ralign 9:.4657228}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:urban} = {res:{ralign 9:.7281434}} {txt:(mean)}
{lalign 8:25._at: }{space 0}{lalign 14:v2pepwrsoc_rev} = {res:{ralign 9:.0240001}}
{lalign 8:}{space 0}{lalign 14:lowGC} = {res:{ralign 9:1}}
{lalign 8:}{space 0}{lalign 14:groupCon} = {res:{ralign 9:0}}
{lalign 8:}{space 0}{lalign 14:mestizo} = {res:{ralign 9:.5468571}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:otroethn} = {res:{ralign 9:.0163863}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:incum_voter} = {res:{ralign 9:.3612432}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:cp6r} = {res:{ralign 9:1.419602}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:edr} = {res:{ralign 9:1.887732}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:quintiles} = {res:{ralign 9:3.030001}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:female} = {res:{ralign 9:.4657228}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:urban} = {res:{ralign 9:.7281434}} {txt:(mean)}
{lalign 8:26._at: }{space 0}{lalign 14:v2pepwrsoc_rev} = {res:{ralign 9:.1240001}}
{lalign 8:}{space 0}{lalign 14:lowGC} = {res:{ralign 9:1}}
{lalign 8:}{space 0}{lalign 14:groupCon} = {res:{ralign 9:0}}
{lalign 8:}{space 0}{lalign 14:mestizo} = {res:{ralign 9:.5468571}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:otroethn} = {res:{ralign 9:.0163863}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:incum_voter} = {res:{ralign 9:.3612432}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:cp6r} = {res:{ralign 9:1.419602}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:edr} = {res:{ralign 9:1.887732}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:quintiles} = {res:{ralign 9:3.030001}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:female} = {res:{ralign 9:.4657228}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:urban} = {res:{ralign 9:.7281434}} {txt:(mean)}
{lalign 8:27._at: }{space 0}{lalign 14:v2pepwrsoc_rev} = {res:{ralign 9:.2240001}}
{lalign 8:}{space 0}{lalign 14:lowGC} = {res:{ralign 9:1}}
{lalign 8:}{space 0}{lalign 14:groupCon} = {res:{ralign 9:0}}
{lalign 8:}{space 0}{lalign 14:mestizo} = {res:{ralign 9:.5468571}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:otroethn} = {res:{ralign 9:.0163863}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:incum_voter} = {res:{ralign 9:.3612432}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:cp6r} = {res:{ralign 9:1.419602}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:edr} = {res:{ralign 9:1.887732}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:quintiles} = {res:{ralign 9:3.030001}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:female} = {res:{ralign 9:.4657228}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:urban} = {res:{ralign 9:.7281434}} {txt:(mean)}
{lalign 8:28._at: }{space 0}{lalign 14:v2pepwrsoc_rev} = {res:{ralign 9:.3240001}}
{lalign 8:}{space 0}{lalign 14:lowGC} = {res:{ralign 9:1}}
{lalign 8:}{space 0}{lalign 14:groupCon} = {res:{ralign 9:0}}
{lalign 8:}{space 0}{lalign 14:mestizo} = {res:{ralign 9:.5468571}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:otroethn} = {res:{ralign 9:.0163863}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:incum_voter} = {res:{ralign 9:.3612432}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:cp6r} = {res:{ralign 9:1.419602}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:edr} = {res:{ralign 9:1.887732}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:quintiles} = {res:{ralign 9:3.030001}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:female} = {res:{ralign 9:.4657228}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:urban} = {res:{ralign 9:.7281434}} {txt:(mean)}
{lalign 8:29._at: }{space 0}{lalign 14:v2pepwrsoc_rev} = {res:{ralign 9:.4240001}}
{lalign 8:}{space 0}{lalign 14:lowGC} = {res:{ralign 9:1}}
{lalign 8:}{space 0}{lalign 14:groupCon} = {res:{ralign 9:0}}
{lalign 8:}{space 0}{lalign 14:mestizo} = {res:{ralign 9:.5468571}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:otroethn} = {res:{ralign 9:.0163863}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:incum_voter} = {res:{ralign 9:.3612432}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:cp6r} = {res:{ralign 9:1.419602}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:edr} = {res:{ralign 9:1.887732}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:quintiles} = {res:{ralign 9:3.030001}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:female} = {res:{ralign 9:.4657228}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:urban} = {res:{ralign 9:.7281434}} {txt:(mean)}
{lalign 8:30._at: }{space 0}{lalign 14:v2pepwrsoc_rev} = {res:{ralign 9:.5240001}}
{lalign 8:}{space 0}{lalign 14:lowGC} = {res:{ralign 9:1}}
{lalign 8:}{space 0}{lalign 14:groupCon} = {res:{ralign 9:0}}
{lalign 8:}{space 0}{lalign 14:mestizo} = {res:{ralign 9:.5468571}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:otroethn} = {res:{ralign 9:.0163863}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:incum_voter} = {res:{ralign 9:.3612432}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:cp6r} = {res:{ralign 9:1.419602}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:edr} = {res:{ralign 9:1.887732}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:quintiles} = {res:{ralign 9:3.030001}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:female} = {res:{ralign 9:.4657228}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:urban} = {res:{ralign 9:.7281434}} {txt:(mean)}
{lalign 8:31._at: }{space 0}{lalign 14:v2pepwrsoc_rev} = {res:{ralign 9:.6240001}}
{lalign 8:}{space 0}{lalign 14:lowGC} = {res:{ralign 9:1}}
{lalign 8:}{space 0}{lalign 14:groupCon} = {res:{ralign 9:0}}
{lalign 8:}{space 0}{lalign 14:mestizo} = {res:{ralign 9:.5468571}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:otroethn} = {res:{ralign 9:.0163863}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:incum_voter} = {res:{ralign 9:.3612432}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:cp6r} = {res:{ralign 9:1.419602}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:edr} = {res:{ralign 9:1.887732}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:quintiles} = {res:{ralign 9:3.030001}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:female} = {res:{ralign 9:.4657228}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:urban} = {res:{ralign 9:.7281434}} {txt:(mean)}
{lalign 8:32._at: }{space 0}{lalign 14:v2pepwrsoc_rev} = {res:{ralign 9:-2.376}}
{lalign 8:}{space 0}{lalign 14:lowGC} = {res:{ralign 9:0}}
{lalign 8:}{space 0}{lalign 14:groupCon} = {res:{ralign 9:1}}
{lalign 8:}{space 0}{lalign 14:mestizo} = {res:{ralign 9:.5468571}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:otroethn} = {res:{ralign 9:.0163863}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:incum_voter} = {res:{ralign 9:.3612432}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:cp6r} = {res:{ralign 9:1.419602}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:edr} = {res:{ralign 9:1.887732}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:quintiles} = {res:{ralign 9:3.030001}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:female} = {res:{ralign 9:.4657228}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:urban} = {res:{ralign 9:.7281434}} {txt:(mean)}
{lalign 8:33._at: }{space 0}{lalign 14:v2pepwrsoc_rev} = {res:{ralign 9:-2.276}}
{lalign 8:}{space 0}{lalign 14:lowGC} = {res:{ralign 9:0}}
{lalign 8:}{space 0}{lalign 14:groupCon} = {res:{ralign 9:1}}
{lalign 8:}{space 0}{lalign 14:mestizo} = {res:{ralign 9:.5468571}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:otroethn} = {res:{ralign 9:.0163863}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:incum_voter} = {res:{ralign 9:.3612432}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:cp6r} = {res:{ralign 9:1.419602}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:edr} = {res:{ralign 9:1.887732}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:quintiles} = {res:{ralign 9:3.030001}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:female} = {res:{ralign 9:.4657228}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:urban} = {res:{ralign 9:.7281434}} {txt:(mean)}
{lalign 8:34._at: }{space 0}{lalign 14:v2pepwrsoc_rev} = {res:{ralign 9:-2.176}}
{lalign 8:}{space 0}{lalign 14:lowGC} = {res:{ralign 9:0}}
{lalign 8:}{space 0}{lalign 14:groupCon} = {res:{ralign 9:1}}
{lalign 8:}{space 0}{lalign 14:mestizo} = {res:{ralign 9:.5468571}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:otroethn} = {res:{ralign 9:.0163863}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:incum_voter} = {res:{ralign 9:.3612432}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:cp6r} = {res:{ralign 9:1.419602}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:edr} = {res:{ralign 9:1.887732}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:quintiles} = {res:{ralign 9:3.030001}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:female} = {res:{ralign 9:.4657228}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:urban} = {res:{ralign 9:.7281434}} {txt:(mean)}
{lalign 8:35._at: }{space 0}{lalign 14:v2pepwrsoc_rev} = {res:{ralign 9:-2.076}}
{lalign 8:}{space 0}{lalign 14:lowGC} = {res:{ralign 9:0}}
{lalign 8:}{space 0}{lalign 14:groupCon} = {res:{ralign 9:1}}
{lalign 8:}{space 0}{lalign 14:mestizo} = {res:{ralign 9:.5468571}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:otroethn} = {res:{ralign 9:.0163863}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:incum_voter} = {res:{ralign 9:.3612432}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:cp6r} = {res:{ralign 9:1.419602}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:edr} = {res:{ralign 9:1.887732}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:quintiles} = {res:{ralign 9:3.030001}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:female} = {res:{ralign 9:.4657228}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:urban} = {res:{ralign 9:.7281434}} {txt:(mean)}
{lalign 8:36._at: }{space 0}{lalign 14:v2pepwrsoc_rev} = {res:{ralign 9:-1.976}}
{lalign 8:}{space 0}{lalign 14:lowGC} = {res:{ralign 9:0}}
{lalign 8:}{space 0}{lalign 14:groupCon} = {res:{ralign 9:1}}
{lalign 8:}{space 0}{lalign 14:mestizo} = {res:{ralign 9:.5468571}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:otroethn} = {res:{ralign 9:.0163863}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:incum_voter} = {res:{ralign 9:.3612432}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:cp6r} = {res:{ralign 9:1.419602}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:edr} = {res:{ralign 9:1.887732}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:quintiles} = {res:{ralign 9:3.030001}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:female} = {res:{ralign 9:.4657228}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:urban} = {res:{ralign 9:.7281434}} {txt:(mean)}
{lalign 8:37._at: }{space 0}{lalign 14:v2pepwrsoc_rev} = {res:{ralign 9:-1.876}}
{lalign 8:}{space 0}{lalign 14:lowGC} = {res:{ralign 9:0}}
{lalign 8:}{space 0}{lalign 14:groupCon} = {res:{ralign 9:1}}
{lalign 8:}{space 0}{lalign 14:mestizo} = {res:{ralign 9:.5468571}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:otroethn} = {res:{ralign 9:.0163863}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:incum_voter} = {res:{ralign 9:.3612432}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:cp6r} = {res:{ralign 9:1.419602}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:edr} = {res:{ralign 9:1.887732}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:quintiles} = {res:{ralign 9:3.030001}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:female} = {res:{ralign 9:.4657228}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:urban} = {res:{ralign 9:.7281434}} {txt:(mean)}
{lalign 8:38._at: }{space 0}{lalign 14:v2pepwrsoc_rev} = {res:{ralign 9:-1.776}}
{lalign 8:}{space 0}{lalign 14:lowGC} = {res:{ralign 9:0}}
{lalign 8:}{space 0}{lalign 14:groupCon} = {res:{ralign 9:1}}
{lalign 8:}{space 0}{lalign 14:mestizo} = {res:{ralign 9:.5468571}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:otroethn} = {res:{ralign 9:.0163863}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:incum_voter} = {res:{ralign 9:.3612432}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:cp6r} = {res:{ralign 9:1.419602}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:edr} = {res:{ralign 9:1.887732}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:quintiles} = {res:{ralign 9:3.030001}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:female} = {res:{ralign 9:.4657228}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:urban} = {res:{ralign 9:.7281434}} {txt:(mean)}
{lalign 8:39._at: }{space 0}{lalign 14:v2pepwrsoc_rev} = {res:{ralign 9:-1.676}}
{lalign 8:}{space 0}{lalign 14:lowGC} = {res:{ralign 9:0}}
{lalign 8:}{space 0}{lalign 14:groupCon} = {res:{ralign 9:1}}
{lalign 8:}{space 0}{lalign 14:mestizo} = {res:{ralign 9:.5468571}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:otroethn} = {res:{ralign 9:.0163863}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:incum_voter} = {res:{ralign 9:.3612432}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:cp6r} = {res:{ralign 9:1.419602}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:edr} = {res:{ralign 9:1.887732}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:quintiles} = {res:{ralign 9:3.030001}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:female} = {res:{ralign 9:.4657228}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:urban} = {res:{ralign 9:.7281434}} {txt:(mean)}
{lalign 8:40._at: }{space 0}{lalign 14:v2pepwrsoc_rev} = {res:{ralign 9:-1.576}}
{lalign 8:}{space 0}{lalign 14:lowGC} = {res:{ralign 9:0}}
{lalign 8:}{space 0}{lalign 14:groupCon} = {res:{ralign 9:1}}
{lalign 8:}{space 0}{lalign 14:mestizo} = {res:{ralign 9:.5468571}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:otroethn} = {res:{ralign 9:.0163863}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:incum_voter} = {res:{ralign 9:.3612432}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:cp6r} = {res:{ralign 9:1.419602}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:edr} = {res:{ralign 9:1.887732}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:quintiles} = {res:{ralign 9:3.030001}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:female} = {res:{ralign 9:.4657228}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:urban} = {res:{ralign 9:.7281434}} {txt:(mean)}
{lalign 8:41._at: }{space 0}{lalign 14:v2pepwrsoc_rev} = {res:{ralign 9:-1.476}}
{lalign 8:}{space 0}{lalign 14:lowGC} = {res:{ralign 9:0}}
{lalign 8:}{space 0}{lalign 14:groupCon} = {res:{ralign 9:1}}
{lalign 8:}{space 0}{lalign 14:mestizo} = {res:{ralign 9:.5468571}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:otroethn} = {res:{ralign 9:.0163863}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:incum_voter} = {res:{ralign 9:.3612432}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:cp6r} = {res:{ralign 9:1.419602}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:edr} = {res:{ralign 9:1.887732}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:quintiles} = {res:{ralign 9:3.030001}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:female} = {res:{ralign 9:.4657228}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:urban} = {res:{ralign 9:.7281434}} {txt:(mean)}
{lalign 8:42._at: }{space 0}{lalign 14:v2pepwrsoc_rev} = {res:{ralign 9:-1.376}}
{lalign 8:}{space 0}{lalign 14:lowGC} = {res:{ralign 9:0}}
{lalign 8:}{space 0}{lalign 14:groupCon} = {res:{ralign 9:1}}
{lalign 8:}{space 0}{lalign 14:mestizo} = {res:{ralign 9:.5468571}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:otroethn} = {res:{ralign 9:.0163863}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:incum_voter} = {res:{ralign 9:.3612432}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:cp6r} = {res:{ralign 9:1.419602}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:edr} = {res:{ralign 9:1.887732}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:quintiles} = {res:{ralign 9:3.030001}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:female} = {res:{ralign 9:.4657228}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:urban} = {res:{ralign 9:.7281434}} {txt:(mean)}
{lalign 8:43._at: }{space 0}{lalign 14:v2pepwrsoc_rev} = {res:{ralign 9:-1.276}}
{lalign 8:}{space 0}{lalign 14:lowGC} = {res:{ralign 9:0}}
{lalign 8:}{space 0}{lalign 14:groupCon} = {res:{ralign 9:1}}
{lalign 8:}{space 0}{lalign 14:mestizo} = {res:{ralign 9:.5468571}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:otroethn} = {res:{ralign 9:.0163863}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:incum_voter} = {res:{ralign 9:.3612432}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:cp6r} = {res:{ralign 9:1.419602}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:edr} = {res:{ralign 9:1.887732}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:quintiles} = {res:{ralign 9:3.030001}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:female} = {res:{ralign 9:.4657228}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:urban} = {res:{ralign 9:.7281434}} {txt:(mean)}
{lalign 8:44._at: }{space 0}{lalign 14:v2pepwrsoc_rev} = {res:{ralign 9:-1.176}}
{lalign 8:}{space 0}{lalign 14:lowGC} = {res:{ralign 9:0}}
{lalign 8:}{space 0}{lalign 14:groupCon} = {res:{ralign 9:1}}
{lalign 8:}{space 0}{lalign 14:mestizo} = {res:{ralign 9:.5468571}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:otroethn} = {res:{ralign 9:.0163863}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:incum_voter} = {res:{ralign 9:.3612432}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:cp6r} = {res:{ralign 9:1.419602}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:edr} = {res:{ralign 9:1.887732}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:quintiles} = {res:{ralign 9:3.030001}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:female} = {res:{ralign 9:.4657228}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:urban} = {res:{ralign 9:.7281434}} {txt:(mean)}
{lalign 8:45._at: }{space 0}{lalign 14:v2pepwrsoc_rev} = {res:{ralign 9:-1.076}}
{lalign 8:}{space 0}{lalign 14:lowGC} = {res:{ralign 9:0}}
{lalign 8:}{space 0}{lalign 14:groupCon} = {res:{ralign 9:1}}
{lalign 8:}{space 0}{lalign 14:mestizo} = {res:{ralign 9:.5468571}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:otroethn} = {res:{ralign 9:.0163863}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:incum_voter} = {res:{ralign 9:.3612432}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:cp6r} = {res:{ralign 9:1.419602}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:edr} = {res:{ralign 9:1.887732}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:quintiles} = {res:{ralign 9:3.030001}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:female} = {res:{ralign 9:.4657228}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:urban} = {res:{ralign 9:.7281434}} {txt:(mean)}
{lalign 8:46._at: }{space 0}{lalign 14:v2pepwrsoc_rev} = {res:{ralign 9:-.9759999}}
{lalign 8:}{space 0}{lalign 14:lowGC} = {res:{ralign 9:0}}
{lalign 8:}{space 0}{lalign 14:groupCon} = {res:{ralign 9:1}}
{lalign 8:}{space 0}{lalign 14:mestizo} = {res:{ralign 9:.5468571}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:otroethn} = {res:{ralign 9:.0163863}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:incum_voter} = {res:{ralign 9:.3612432}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:cp6r} = {res:{ralign 9:1.419602}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:edr} = {res:{ralign 9:1.887732}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:quintiles} = {res:{ralign 9:3.030001}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:female} = {res:{ralign 9:.4657228}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:urban} = {res:{ralign 9:.7281434}} {txt:(mean)}
{lalign 8:47._at: }{space 0}{lalign 14:v2pepwrsoc_rev} = {res:{ralign 9:-.8759999}}
{lalign 8:}{space 0}{lalign 14:lowGC} = {res:{ralign 9:0}}
{lalign 8:}{space 0}{lalign 14:groupCon} = {res:{ralign 9:1}}
{lalign 8:}{space 0}{lalign 14:mestizo} = {res:{ralign 9:.5468571}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:otroethn} = {res:{ralign 9:.0163863}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:incum_voter} = {res:{ralign 9:.3612432}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:cp6r} = {res:{ralign 9:1.419602}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:edr} = {res:{ralign 9:1.887732}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:quintiles} = {res:{ralign 9:3.030001}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:female} = {res:{ralign 9:.4657228}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:urban} = {res:{ralign 9:.7281434}} {txt:(mean)}
{lalign 8:48._at: }{space 0}{lalign 14:v2pepwrsoc_rev} = {res:{ralign 9:-.7759999}}
{lalign 8:}{space 0}{lalign 14:lowGC} = {res:{ralign 9:0}}
{lalign 8:}{space 0}{lalign 14:groupCon} = {res:{ralign 9:1}}
{lalign 8:}{space 0}{lalign 14:mestizo} = {res:{ralign 9:.5468571}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:otroethn} = {res:{ralign 9:.0163863}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:incum_voter} = {res:{ralign 9:.3612432}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:cp6r} = {res:{ralign 9:1.419602}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:edr} = {res:{ralign 9:1.887732}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:quintiles} = {res:{ralign 9:3.030001}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:female} = {res:{ralign 9:.4657228}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:urban} = {res:{ralign 9:.7281434}} {txt:(mean)}
{lalign 8:49._at: }{space 0}{lalign 14:v2pepwrsoc_rev} = {res:{ralign 9:-.6759999}}
{lalign 8:}{space 0}{lalign 14:lowGC} = {res:{ralign 9:0}}
{lalign 8:}{space 0}{lalign 14:groupCon} = {res:{ralign 9:1}}
{lalign 8:}{space 0}{lalign 14:mestizo} = {res:{ralign 9:.5468571}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:otroethn} = {res:{ralign 9:.0163863}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:incum_voter} = {res:{ralign 9:.3612432}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:cp6r} = {res:{ralign 9:1.419602}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:edr} = {res:{ralign 9:1.887732}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:quintiles} = {res:{ralign 9:3.030001}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:female} = {res:{ralign 9:.4657228}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:urban} = {res:{ralign 9:.7281434}} {txt:(mean)}
{lalign 8:50._at: }{space 0}{lalign 14:v2pepwrsoc_rev} = {res:{ralign 9:-.5759999}}
{lalign 8:}{space 0}{lalign 14:lowGC} = {res:{ralign 9:0}}
{lalign 8:}{space 0}{lalign 14:groupCon} = {res:{ralign 9:1}}
{lalign 8:}{space 0}{lalign 14:mestizo} = {res:{ralign 9:.5468571}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:otroethn} = {res:{ralign 9:.0163863}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:incum_voter} = {res:{ralign 9:.3612432}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:cp6r} = {res:{ralign 9:1.419602}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:edr} = {res:{ralign 9:1.887732}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:quintiles} = {res:{ralign 9:3.030001}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:female} = {res:{ralign 9:.4657228}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:urban} = {res:{ralign 9:.7281434}} {txt:(mean)}
{lalign 8:51._at: }{space 0}{lalign 14:v2pepwrsoc_rev} = {res:{ralign 9:-.4759999}}
{lalign 8:}{space 0}{lalign 14:lowGC} = {res:{ralign 9:0}}
{lalign 8:}{space 0}{lalign 14:groupCon} = {res:{ralign 9:1}}
{lalign 8:}{space 0}{lalign 14:mestizo} = {res:{ralign 9:.5468571}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:otroethn} = {res:{ralign 9:.0163863}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:incum_voter} = {res:{ralign 9:.3612432}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:cp6r} = {res:{ralign 9:1.419602}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:edr} = {res:{ralign 9:1.887732}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:quintiles} = {res:{ralign 9:3.030001}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:female} = {res:{ralign 9:.4657228}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:urban} = {res:{ralign 9:.7281434}} {txt:(mean)}
{lalign 8:52._at: }{space 0}{lalign 14:v2pepwrsoc_rev} = {res:{ralign 9:-.3759999}}
{lalign 8:}{space 0}{lalign 14:lowGC} = {res:{ralign 9:0}}
{lalign 8:}{space 0}{lalign 14:groupCon} = {res:{ralign 9:1}}
{lalign 8:}{space 0}{lalign 14:mestizo} = {res:{ralign 9:.5468571}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:otroethn} = {res:{ralign 9:.0163863}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:incum_voter} = {res:{ralign 9:.3612432}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:cp6r} = {res:{ralign 9:1.419602}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:edr} = {res:{ralign 9:1.887732}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:quintiles} = {res:{ralign 9:3.030001}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:female} = {res:{ralign 9:.4657228}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:urban} = {res:{ralign 9:.7281434}} {txt:(mean)}
{lalign 8:53._at: }{space 0}{lalign 14:v2pepwrsoc_rev} = {res:{ralign 9:-.2759999}}
{lalign 8:}{space 0}{lalign 14:lowGC} = {res:{ralign 9:0}}
{lalign 8:}{space 0}{lalign 14:groupCon} = {res:{ralign 9:1}}
{lalign 8:}{space 0}{lalign 14:mestizo} = {res:{ralign 9:.5468571}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:otroethn} = {res:{ralign 9:.0163863}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:incum_voter} = {res:{ralign 9:.3612432}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:cp6r} = {res:{ralign 9:1.419602}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:edr} = {res:{ralign 9:1.887732}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:quintiles} = {res:{ralign 9:3.030001}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:female} = {res:{ralign 9:.4657228}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:urban} = {res:{ralign 9:.7281434}} {txt:(mean)}
{lalign 8:54._at: }{space 0}{lalign 14:v2pepwrsoc_rev} = {res:{ralign 9:-.1759999}}
{lalign 8:}{space 0}{lalign 14:lowGC} = {res:{ralign 9:0}}
{lalign 8:}{space 0}{lalign 14:groupCon} = {res:{ralign 9:1}}
{lalign 8:}{space 0}{lalign 14:mestizo} = {res:{ralign 9:.5468571}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:otroethn} = {res:{ralign 9:.0163863}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:incum_voter} = {res:{ralign 9:.3612432}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:cp6r} = {res:{ralign 9:1.419602}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:edr} = {res:{ralign 9:1.887732}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:quintiles} = {res:{ralign 9:3.030001}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:female} = {res:{ralign 9:.4657228}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:urban} = {res:{ralign 9:.7281434}} {txt:(mean)}
{lalign 8:55._at: }{space 0}{lalign 14:v2pepwrsoc_rev} = {res:{ralign 9:-.0759999}}
{lalign 8:}{space 0}{lalign 14:lowGC} = {res:{ralign 9:0}}
{lalign 8:}{space 0}{lalign 14:groupCon} = {res:{ralign 9:1}}
{lalign 8:}{space 0}{lalign 14:mestizo} = {res:{ralign 9:.5468571}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:otroethn} = {res:{ralign 9:.0163863}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:incum_voter} = {res:{ralign 9:.3612432}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:cp6r} = {res:{ralign 9:1.419602}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:edr} = {res:{ralign 9:1.887732}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:quintiles} = {res:{ralign 9:3.030001}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:female} = {res:{ralign 9:.4657228}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:urban} = {res:{ralign 9:.7281434}} {txt:(mean)}
{lalign 8:56._at: }{space 0}{lalign 14:v2pepwrsoc_rev} = {res:{ralign 9:.0240001}}
{lalign 8:}{space 0}{lalign 14:lowGC} = {res:{ralign 9:0}}
{lalign 8:}{space 0}{lalign 14:groupCon} = {res:{ralign 9:1}}
{lalign 8:}{space 0}{lalign 14:mestizo} = {res:{ralign 9:.5468571}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:otroethn} = {res:{ralign 9:.0163863}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:incum_voter} = {res:{ralign 9:.3612432}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:cp6r} = {res:{ralign 9:1.419602}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:edr} = {res:{ralign 9:1.887732}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:quintiles} = {res:{ralign 9:3.030001}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:female} = {res:{ralign 9:.4657228}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:urban} = {res:{ralign 9:.7281434}} {txt:(mean)}
{lalign 8:57._at: }{space 0}{lalign 14:v2pepwrsoc_rev} = {res:{ralign 9:.1240001}}
{lalign 8:}{space 0}{lalign 14:lowGC} = {res:{ralign 9:0}}
{lalign 8:}{space 0}{lalign 14:groupCon} = {res:{ralign 9:1}}
{lalign 8:}{space 0}{lalign 14:mestizo} = {res:{ralign 9:.5468571}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:otroethn} = {res:{ralign 9:.0163863}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:incum_voter} = {res:{ralign 9:.3612432}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:cp6r} = {res:{ralign 9:1.419602}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:edr} = {res:{ralign 9:1.887732}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:quintiles} = {res:{ralign 9:3.030001}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:female} = {res:{ralign 9:.4657228}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:urban} = {res:{ralign 9:.7281434}} {txt:(mean)}
{lalign 8:58._at: }{space 0}{lalign 14:v2pepwrsoc_rev} = {res:{ralign 9:.2240001}}
{lalign 8:}{space 0}{lalign 14:lowGC} = {res:{ralign 9:0}}
{lalign 8:}{space 0}{lalign 14:groupCon} = {res:{ralign 9:1}}
{lalign 8:}{space 0}{lalign 14:mestizo} = {res:{ralign 9:.5468571}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:otroethn} = {res:{ralign 9:.0163863}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:incum_voter} = {res:{ralign 9:.3612432}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:cp6r} = {res:{ralign 9:1.419602}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:edr} = {res:{ralign 9:1.887732}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:quintiles} = {res:{ralign 9:3.030001}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:female} = {res:{ralign 9:.4657228}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:urban} = {res:{ralign 9:.7281434}} {txt:(mean)}
{lalign 8:59._at: }{space 0}{lalign 14:v2pepwrsoc_rev} = {res:{ralign 9:.3240001}}
{lalign 8:}{space 0}{lalign 14:lowGC} = {res:{ralign 9:0}}
{lalign 8:}{space 0}{lalign 14:groupCon} = {res:{ralign 9:1}}
{lalign 8:}{space 0}{lalign 14:mestizo} = {res:{ralign 9:.5468571}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:otroethn} = {res:{ralign 9:.0163863}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:incum_voter} = {res:{ralign 9:.3612432}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:cp6r} = {res:{ralign 9:1.419602}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:edr} = {res:{ralign 9:1.887732}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:quintiles} = {res:{ralign 9:3.030001}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:female} = {res:{ralign 9:.4657228}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:urban} = {res:{ralign 9:.7281434}} {txt:(mean)}
{lalign 8:60._at: }{space 0}{lalign 14:v2pepwrsoc_rev} = {res:{ralign 9:.4240001}}
{lalign 8:}{space 0}{lalign 14:lowGC} = {res:{ralign 9:0}}
{lalign 8:}{space 0}{lalign 14:groupCon} = {res:{ralign 9:1}}
{lalign 8:}{space 0}{lalign 14:mestizo} = {res:{ralign 9:.5468571}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:otroethn} = {res:{ralign 9:.0163863}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:incum_voter} = {res:{ralign 9:.3612432}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:cp6r} = {res:{ralign 9:1.419602}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:edr} = {res:{ralign 9:1.887732}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:quintiles} = {res:{ralign 9:3.030001}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:female} = {res:{ralign 9:.4657228}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:urban} = {res:{ralign 9:.7281434}} {txt:(mean)}
{lalign 8:61._at: }{space 0}{lalign 14:v2pepwrsoc_rev} = {res:{ralign 9:.5240001}}
{lalign 8:}{space 0}{lalign 14:lowGC} = {res:{ralign 9:0}}
{lalign 8:}{space 0}{lalign 14:groupCon} = {res:{ralign 9:1}}
{lalign 8:}{space 0}{lalign 14:mestizo} = {res:{ralign 9:.5468571}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:otroethn} = {res:{ralign 9:.0163863}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:incum_voter} = {res:{ralign 9:.3612432}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:cp6r} = {res:{ralign 9:1.419602}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:edr} = {res:{ralign 9:1.887732}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:quintiles} = {res:{ralign 9:3.030001}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:female} = {res:{ralign 9:.4657228}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:urban} = {res:{ralign 9:.7281434}} {txt:(mean)}
{lalign 8:62._at: }{space 0}{lalign 14:v2pepwrsoc_rev} = {res:{ralign 9:.6240001}}
{lalign 8:}{space 0}{lalign 14:lowGC} = {res:{ralign 9:0}}
{lalign 8:}{space 0}{lalign 14:groupCon} = {res:{ralign 9:1}}
{lalign 8:}{space 0}{lalign 14:mestizo} = {res:{ralign 9:.5468571}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:otroethn} = {res:{ralign 9:.0163863}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:incum_voter} = {res:{ralign 9:.3612432}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:cp6r} = {res:{ralign 9:1.419602}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:edr} = {res:{ralign 9:1.887732}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:quintiles} = {res:{ralign 9:3.030001}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:female} = {res:{ralign 9:.4657228}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 14:urban} = {res:{ralign 9:.7281434}} {txt:(mean)}

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{txt}{space 9}48  {c |}{col 14}{res}{space 2} 6.408821{col 26}{space 2} .1844559{col 37}{space 1}   34.74{col 46}{space 3}0.000{col 54}{space 4} 6.047294{col 67}{space 3} 6.770348
{txt}{space 9}49  {c |}{col 14}{res}{space 2} 6.393728{col 26}{space 2} .1908499{col 37}{space 1}   33.50{col 46}{space 3}0.000{col 54}{space 4}  6.01967{col 67}{space 3} 6.767787
{txt}{space 9}50  {c |}{col 14}{res}{space 2} 6.378636{col 26}{space 2} .1993426{col 37}{space 1}   32.00{col 46}{space 3}0.000{col 54}{space 4} 5.987932{col 67}{space 3}  6.76934
{txt}{space 9}51  {c |}{col 14}{res}{space 2} 6.363543{col 26}{space 2} .2096791{col 37}{space 1}   30.35{col 46}{space 3}0.000{col 54}{space 4}  5.95258{col 67}{space 3} 6.774507
{txt}{space 9}52  {c |}{col 14}{res}{space 2}  6.34845{col 26}{space 2} .2216015{col 37}{space 1}   28.65{col 46}{space 3}0.000{col 54}{space 4}  5.91412{col 67}{space 3} 6.782781
{txt}{space 9}53  {c |}{col 14}{res}{space 2} 6.333358{col 26}{space 2} .2348685{col 37}{space 1}   26.97{col 46}{space 3}0.000{col 54}{space 4} 5.873024{col 67}{space 3} 6.793692
{txt}{space 9}54  {c |}{col 14}{res}{space 2} 6.318265{col 26}{space 2} .2492654{col 37}{space 1}   25.35{col 46}{space 3}0.000{col 54}{space 4} 5.829714{col 67}{space 3} 6.806816
{txt}{space 9}55  {c |}{col 14}{res}{space 2} 6.303173{col 26}{space 2} .2646079{col 37}{space 1}   23.82{col 46}{space 3}0.000{col 54}{space 4} 5.784551{col 67}{space 3} 6.821794
{txt}{space 9}56  {c |}{col 14}{res}{space 2}  6.28808{col 26}{space 2}  .280741{col 37}{space 1}   22.40{col 46}{space 3}0.000{col 54}{space 4} 5.737838{col 67}{space 3} 6.838322
{txt}{space 9}57  {c |}{col 14}{res}{space 2} 6.272987{col 26}{space 2} .2975361{col 37}{space 1}   21.08{col 46}{space 3}0.000{col 54}{space 4} 5.689827{col 67}{space 3} 6.856147
{txt}{space 9}58  {c |}{col 14}{res}{space 2} 6.257895{col 26}{space 2} .3148873{col 37}{space 1}   19.87{col 46}{space 3}0.000{col 54}{space 4} 5.640727{col 67}{space 3} 6.875062
{txt}{space 9}59  {c |}{col 14}{res}{space 2} 6.242802{col 26}{space 2} .3327076{col 37}{space 1}   18.76{col 46}{space 3}0.000{col 54}{space 4} 5.590707{col 67}{space 3} 6.894897
{txt}{space 9}60  {c |}{col 14}{res}{space 2} 6.227709{col 26}{space 2} .3509256{col 37}{space 1}   17.75{col 46}{space 3}0.000{col 54}{space 4} 5.539908{col 67}{space 3} 6.915511
{txt}{space 9}61  {c |}{col 14}{res}{space 2} 6.212617{col 26}{space 2} .3694824{col 37}{space 1}   16.81{col 46}{space 3}0.000{col 54}{space 4} 5.488444{col 67}{space 3} 6.936789
{txt}{space 9}62  {c |}{col 14}{res}{space 2} 6.197524{col 26}{space 2} .3883295{col 37}{space 1}   15.96{col 46}{space 3}0.000{col 54}{space 4} 5.436412{col 67}{space 3} 6.958636
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. est store groupCon4
{txt}
{com}. capture drop where
{txt}
{com}. capture drop pipe
{txt}
{com}. gen where=5
{txt}
{com}. gen pipe="|"
{txt}
{com}. sum v2pepwrsoc_rev if groupCon~=.

{txt}    Variable {c |}        Obs        Mean    Std. dev.       Min        Max
{hline 13}{c +}{hline 57}
v2pepwrsoc~v {c |}{res}     23,056   -.8525609    .7220934     -2.376       .627
{txt}
{com}. local minexcl=round(r(min))
{txt}
{com}. local maxexcl=round(r(max))
{txt}
{com}. estimates restore groupCon4
{txt}(results {stata estimates replay groupCon4:groupCon4} are active now)

{com}. marginsplot, ///
>         plotopts(recast(line) mcolor(black) lcolor(black)) ///
>         plot1opts(lpattern(dash)) plot2opts(lpattern(solid)) ///
>         noci ///
>         title("") xtitle("Political Exclusion") xscale(range(`minexcl' `maxexcl')) ///
>         xlabel(`minexcl'(.5)`maxexcl') ///
>         ylabel(4.4(.2)5.6) ///
>         ytitle("Predicted Support for Democratic Principles") ///
>         legend(order(1 "Low Group" "Consciousness" 2 "High Group" "Consciousness")) ///
>         legend(justification(center)) ///
>         graphregion(color(gs15)) scale(1.2) ///
>         addplot(scatter where v2pepwrsoc_rev if groupCon~=., ms(none) mlabel(pipe) mlabcolor(black) mlabpos(0) legend(off))
{res}
{text}{p 0 0 2}Variables that uniquely identify margins: {bf:v2pepwrsoc_rev _atopt}{p_end}
{text}Multiple {bf:at()} options specified:
{text}{p 6 10 2}_atoption=1: (mean) _factor (mean) _continuous v2pepwrsoc_rev=(-2.375999927520752(.1).6269999742507935) lowGC=(1) groupCon=(0){p_end}
{text}{p 6 10 2}_atoption=2: (mean) _factor (mean) _continuous v2pepwrsoc_rev=(-2.375999927520752(.1).6269999742507935) lowGC=(0) groupCon=(1){p_end}
{res}{txt}
{com}. graph save "groupCon4PoP.gph", replace
{res}{txt}file {bf:groupCon4PoP.gph} saved

{com}. graph export "groupCon4PoP.pdf", as(pdf) replace
{txt}{p 0 4 2}
file {bf}
groupCon4PoP.pdf{rm}
saved as
PDF
format
{p_end}

{com}. 
. esttab model3a model3b model3c model3d using "table3PoP.txt", replace tex b(3) se(3) r2(3) label alignment(.) nomtitles numbers nogaps compress title("Multi-Level Models of Attitudes toward Democracy")
{res}{txt}(output written to {browse  `"table3PoP.txt"'})

{com}. 
. 
. 
. // Overall descriptive stats for all variables
. 
. sum ing4 demprin_i bgi_dec_fear_cent v2pepwrsoc_rev black indig mestizo otroethn white incum_voter cp6r edr quintile female edad urban groupCon lowGC

{txt}    Variable {c |}        Obs        Mean    Std. dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 8}ing4 {c |}{res}    165,631    5.110136    1.733484          1          7
{txt}{space 3}demprin_i {c |}{res}    104,013    6.185817     2.20477          0          9
{txt}bgi_dec_fe~t {c |}{res}    167,412   -.1146577    3.730021  -4.640333   9.444098
{txt}v2pepwrsoc~v {c |}{res}    180,356    -.906596    .7634617     -2.394       .627
{txt}{space 7}black {c |}{res}    171,825    .0854008    .2794781          0          1
{txt}{hline 13}{c +}{hline 57}
{space 7}indig {c |}{res}    171,825    .0769213    .2664673          0          1
{txt}{space 5}mestizo {c |}{res}    171,825    .4820661    .4996797          0          1
{txt}{space 4}otroethn {c |}{res}    171,825    .0201891    .1406473          0          1
{txt}{space 7}white {c |}{res}    171,825    .2739939    .4460072          0          1
{txt}{space 1}incum_voter {c |}{res}    180,348    .3219498    .4672251          0          1
{txt}{hline 13}{c +}{hline 57}
{space 8}cp6r {c |}{res}    175,015    1.375271    1.300434          0          3
{txt}{space 9}edr {c |}{res}    179,087    1.789756    .8070426          0          3
{txt}{space 3}quintiles {c |}{res}    174,917    2.941052    1.416446          1          5
{txt}{space 6}female {c |}{res}    180,345    .5149353    .4997783          0          1
{txt}{space 8}edad {c |}{res}    179,391    2.862145    1.561103          1          6
{txt}{hline 13}{c +}{hline 57}
{space 7}urban {c |}{res}    180,348    .6833234    .4651814          0          1
{txt}{space 4}groupCon {c |}{res}     23,056    .1276891    .3337505          0          1
{txt}{space 7}lowGC {c |}{res}     23,056    .1994275    .3995786          0          1
{txt}
{com}. 
. // Showing that it works for whites alone
. 
. mixed ing4 c.bgi_dec_fear_cent incum_voter cp6r edr quintile female edad urban soct2r [pweight=weight1500] if white==1 || country_year:, cov(independent)
{txt}{p 0 6}note: single-variable random-{txt}effects specification in {inp:country_year} equation; covariance structure set to {inp:identity}.{p_end}
{res}
{txt}Obtaining starting values by EM ...
{res}
{txt}Performing gradient-based optimization: {res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-76223.327}  
Iteration 1:{space 3}log pseudolikelihood = {res:-76223.327}  
{res}
{txt}Computing standard errors ...
{res}
{txt}Mixed-effects regression{col 49}Number of obs{col 67}={col 69}{res}    41,868
{txt}Group variable: {res}country_year{col 49}{txt}Number of groups{col 67}={col 69}{res}        89
{txt}{col 49}Obs per group:
{col 63}min{col 67}={col 69}{res}       121
{txt}{col 63}avg{col 67}={col 69}{res}     470.4
{txt}{col 63}max{col 67}={col 69}{res}     1,172
{col 49}{txt}Wald chi2({res}9{txt}){col 67}={col 70}{res}   362.18
{txt}Log pseudolikelihood = {res}-76223.327{col 49}{txt}Prob > chi2{col 67}={col 73}{res}0.0000

{txt}{ralign 83:(Std. err. adjusted for {res:89} clusters in {res:country_year})}
{hline 18}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 19}{c |}{col 31}    Robust
{col 1}             ing4{col 19}{c |} Coefficient{col 31}  std. err.{col 43}      z{col 51}   P>|z|{col 59}     [95% con{col 72}f. interval]
{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
bgi_dec_fear_cent {c |}{col 19}{res}{space 2}-.0458699{col 31}{space 2} .0117795{col 42}{space 1}   -3.89{col 51}{space 3}0.000{col 59}{space 4}-.0689572{col 72}{space 3}-.0227825
{txt}{space 6}incum_voter {c |}{col 19}{res}{space 2} .1609771{col 31}{space 2} .0270598{col 42}{space 1}    5.95{col 51}{space 3}0.000{col 59}{space 4} .1079409{col 72}{space 3} .2140133
{txt}{space 13}cp6r {c |}{col 19}{res}{space 2} .0054706{col 31}{space 2} .0114093{col 42}{space 1}    0.48{col 51}{space 3}0.632{col 59}{space 4}-.0168912{col 72}{space 3} .0278324
{txt}{space 14}edr {c |}{col 19}{res}{space 2} .2037287{col 31}{space 2}  .016965{col 42}{space 1}   12.01{col 51}{space 3}0.000{col 59}{space 4} .1704778{col 72}{space 3} .2369796
{txt}{space 8}quintiles {c |}{col 19}{res}{space 2}  .057898{col 31}{space 2} .0090193{col 42}{space 1}    6.42{col 51}{space 3}0.000{col 59}{space 4} .0402206{col 72}{space 3} .0755755
{txt}{space 11}female {c |}{col 19}{res}{space 2}-.0514998{col 31}{space 2} .0187599{col 42}{space 1}   -2.75{col 51}{space 3}0.006{col 59}{space 4}-.0882685{col 72}{space 3}-.0147312
{txt}{space 13}edad {c |}{col 19}{res}{space 2}  .110537{col 31}{space 2} .0096789{col 42}{space 1}   11.42{col 51}{space 3}0.000{col 59}{space 4} .0915666{col 72}{space 3} .1295074
{txt}{space 12}urban {c |}{col 19}{res}{space 2}-.0807861{col 31}{space 2} .0292683{col 42}{space 1}   -2.76{col 51}{space 3}0.006{col 59}{space 4}-.1381509{col 72}{space 3}-.0234214
{txt}{space 11}soct2r {c |}{col 19}{res}{space 2}  .147406{col 31}{space 2} .0178517{col 42}{space 1}    8.26{col 51}{space 3}0.000{col 59}{space 4} .1124174{col 72}{space 3} .1823946
{txt}{space 12}_cons {c |}{col 19}{res}{space 2} 3.989344{col 31}{space 2}  .081697{col 42}{space 1}   48.83{col 51}{space 3}0.000{col 59}{space 4} 3.829221{col 72}{space 3} 4.149467
{txt}{hline 18}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{txt}{hline 29}{c TT}{hline 48}
{col 30}{c |}{col 34}{col 46}Robust{col 63}
{col 3}Random-effects parameters{col 30}{c |}{col 34}Estimate{col 45}std. err.{col 59}[95% conf. interval]
{hline 29}{c +}{hline 48}
{res}country_year{txt}: Identity{col 30}{c |}
{space 18}var(_cons) {c |}{res}{col 33} .2022177{col 44} .0279165{col 58}   .15428{col 70} .2650507
{txt}{hline 29}{c +}{hline 48}
{col 16}var(Residual){col 30}{c |}{res}{col 33}  2.63917{col 44} .0855582{col 58} 2.476695{col 70} 2.812303
{txt}{hline 29}{c BT}{hline 48}

{p 0 9 2}Warning: Sampling weights were 
specified only at the first level 
in a multilevel model. If these weights are 
indicative of overall and not conditional 
inclusion probabilities, then 
{help mixed##sampling:results may be biased}.
{p_end}

{com}. estimates store white1
{txt}
{com}. 
. mixed ing4 c.v2pepwrsoc_rev incum_voter cp6r edr quintile female edad urban soct2r [pweight=weight1500] if white==1 || country_year:, cov(independent)
{txt}{p 0 6}note: single-variable random-{txt}effects specification in {inp:country_year} equation; covariance structure set to {inp:identity}.{p_end}
{res}
{txt}Obtaining starting values by EM ...
{res}
{txt}Performing gradient-based optimization: {res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-76208.689}  
Iteration 1:{space 3}log pseudolikelihood = {res:-76208.689}  
{res}
{txt}Computing standard errors ...
{res}
{txt}Mixed-effects regression{col 49}Number of obs{col 67}={col 69}{res}    41,868
{txt}Group variable: {res}country_year{col 49}{txt}Number of groups{col 67}={col 69}{res}        89
{txt}{col 49}Obs per group:
{col 63}min{col 67}={col 69}{res}       121
{txt}{col 63}avg{col 67}={col 69}{res}     470.4
{txt}{col 63}max{col 67}={col 69}{res}     1,172
{col 49}{txt}Wald chi2({res}9{txt}){col 67}={col 70}{res}   379.38
{txt}Log pseudolikelihood = {res}-76208.689{col 49}{txt}Prob > chi2{col 67}={col 73}{res}0.0000

{txt}{ralign 80:(Std. err. adjusted for {res:89} clusters in {res:country_year})}
{hline 15}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 16}{c |}{col 28}    Robust
{col 1}          ing4{col 16}{c |} Coefficient{col 28}  std. err.{col 40}      z{col 48}   P>|z|{col 56}     [95% con{col 69}f. interval]
{hline 15}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
v2pepwrsoc_rev {c |}{col 16}{res}{space 2}-.3856937{col 28}{space 2} .0536124{col 39}{space 1}   -7.19{col 48}{space 3}0.000{col 56}{space 4}-.4907721{col 69}{space 3}-.2806153
{txt}{space 3}incum_voter {c |}{col 16}{res}{space 2} .1618777{col 28}{space 2}  .027041{col 39}{space 1}    5.99{col 48}{space 3}0.000{col 56}{space 4} .1088783{col 69}{space 3}  .214877
{txt}{space 10}cp6r {c |}{col 16}{res}{space 2} .0062512{col 28}{space 2} .0113886{col 39}{space 1}    0.55{col 48}{space 3}0.583{col 56}{space 4}  -.01607{col 69}{space 3} .0285725
{txt}{space 11}edr {c |}{col 16}{res}{space 2} .2024832{col 28}{space 2} .0169537{col 39}{space 1}   11.94{col 48}{space 3}0.000{col 56}{space 4} .1692546{col 69}{space 3} .2357119
{txt}{space 5}quintiles {c |}{col 16}{res}{space 2} .0581658{col 28}{space 2} .0090368{col 39}{space 1}    6.44{col 48}{space 3}0.000{col 56}{space 4} .0404541{col 69}{space 3} .0758775
{txt}{space 8}female {c |}{col 16}{res}{space 2}-.0518642{col 28}{space 2}  .018749{col 39}{space 1}   -2.77{col 48}{space 3}0.006{col 56}{space 4}-.0886116{col 69}{space 3}-.0151168
{txt}{space 10}edad {c |}{col 16}{res}{space 2} .1096864{col 28}{space 2} .0096479{col 39}{space 1}   11.37{col 48}{space 3}0.000{col 56}{space 4} .0907768{col 69}{space 3}  .128596
{txt}{space 9}urban {c |}{col 16}{res}{space 2}-.0836803{col 28}{space 2} .0291589{col 39}{space 1}   -2.87{col 48}{space 3}0.004{col 56}{space 4}-.1408307{col 69}{space 3}-.0265299
{txt}{space 8}soct2r {c |}{col 16}{res}{space 2} .1471588{col 28}{space 2} .0177842{col 39}{space 1}    8.27{col 48}{space 3}0.000{col 56}{space 4} .1123024{col 69}{space 3} .1820151
{txt}{space 9}_cons {c |}{col 16}{res}{space 2}  3.64426{col 28}{space 2} .1165813{col 39}{space 1}   31.26{col 48}{space 3}0.000{col 56}{space 4} 3.415765{col 69}{space 3} 3.872755
{txt}{hline 15}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{txt}{hline 29}{c TT}{hline 48}
{col 30}{c |}{col 34}{col 46}Robust{col 63}
{col 3}Random-effects parameters{col 30}{c |}{col 34}Estimate{col 45}std. err.{col 59}[95% conf. interval]
{hline 29}{c +}{hline 48}
{res}country_year{txt}: Identity{col 30}{c |}
{space 18}var(_cons) {c |}{res}{col 33} .1421624{col 44} .0231544{col 58} .1033112{col 70}  .195624
{txt}{hline 29}{c +}{hline 48}
{col 16}var(Residual){col 30}{c |}{res}{col 33} 2.639206{col 44} .0855385{col 58} 2.476767{col 70} 2.812298
{txt}{hline 29}{c BT}{hline 48}

{p 0 9 2}Warning: Sampling weights were 
specified only at the first level 
in a multilevel model. If these weights are 
indicative of overall and not conditional 
inclusion probabilities, then 
{help mixed##sampling:results may be biased}.
{p_end}

{com}. estimates store white2
{txt}
{com}. 
. mixed demprin_i c.bgi_dec_fear_cent incum_voter cp6r edr quintile female edad urban soct2r [pweight=weight1500] if white==1 || country_year:, cov(independent)
{txt}{p 0 6}note: single-variable random-{txt}effects specification in {inp:country_year} equation; covariance structure set to {inp:identity}.{p_end}
{res}
{txt}Obtaining starting values by EM ...
{res}
{txt}Performing gradient-based optimization: {res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-59398.615}  
Iteration 1:{space 3}log pseudolikelihood = {res:-59398.615}  (backed up)
{res}
{txt}Computing standard errors ...
{res}
{txt}Mixed-effects regression{col 49}Number of obs{col 67}={col 69}{res}    28,496
{txt}Group variable: {res}country_year{col 49}{txt}Number of groups{col 67}={col 69}{res}        57
{txt}{col 49}Obs per group:
{col 63}min{col 67}={col 69}{res}       126
{txt}{col 63}avg{col 67}={col 69}{res}     499.9
{txt}{col 63}max{col 67}={col 69}{res}     1,224
{col 49}{txt}Wald chi2({res}9{txt}){col 67}={col 70}{res}   126.60
{txt}Log pseudolikelihood = {res}-59398.615{col 49}{txt}Prob > chi2{col 67}={col 73}{res}0.0000

{txt}{ralign 83:(Std. err. adjusted for {res:57} clusters in {res:country_year})}
{hline 18}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 19}{c |}{col 31}    Robust
{col 1}        demprin_i{col 19}{c |} Coefficient{col 31}  std. err.{col 43}      z{col 51}   P>|z|{col 59}     [95% con{col 72}f. interval]
{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
bgi_dec_fear_cent {c |}{col 19}{res}{space 2}-.1229003{col 31}{space 2} .0227851{col 42}{space 1}   -5.39{col 51}{space 3}0.000{col 59}{space 4}-.1675583{col 72}{space 3}-.0782423
{txt}{space 6}incum_voter {c |}{col 19}{res}{space 2} .1403695{col 31}{space 2} .0492525{col 42}{space 1}    2.85{col 51}{space 3}0.004{col 59}{space 4} .0438363{col 72}{space 3} .2369026
{txt}{space 13}cp6r {c |}{col 19}{res}{space 2}-.0040254{col 31}{space 2}  .021507{col 42}{space 1}   -0.19{col 51}{space 3}0.852{col 59}{space 4}-.0461784{col 72}{space 3} .0381276
{txt}{space 14}edr {c |}{col 19}{res}{space 2} .2630329{col 31}{space 2} .0333904{col 42}{space 1}    7.88{col 51}{space 3}0.000{col 59}{space 4}  .197589{col 72}{space 3} .3284768
{txt}{space 8}quintiles {c |}{col 19}{res}{space 2} .0512394{col 31}{space 2}  .014316{col 42}{space 1}    3.58{col 51}{space 3}0.000{col 59}{space 4} .0231805{col 72}{space 3} .0792983
{txt}{space 11}female {c |}{col 19}{res}{space 2}-.0973739{col 31}{space 2} .0305648{col 42}{space 1}   -3.19{col 51}{space 3}0.001{col 59}{space 4}-.1572798{col 72}{space 3}-.0374681
{txt}{space 13}edad {c |}{col 19}{res}{space 2}  .006155{col 31}{space 2} .0188574{col 42}{space 1}    0.33{col 51}{space 3}0.744{col 59}{space 4}-.0308049{col 72}{space 3} .0431149
{txt}{space 12}urban {c |}{col 19}{res}{space 2}-.0663677{col 31}{space 2}  .038671{col 42}{space 1}   -1.72{col 51}{space 3}0.086{col 59}{space 4}-.1421615{col 72}{space 3} .0094261
{txt}{space 11}soct2r {c |}{col 19}{res}{space 2} .0916479{col 31}{space 2} .0252624{col 42}{space 1}    3.63{col 51}{space 3}0.000{col 59}{space 4} .0421346{col 72}{space 3} .1411613
{txt}{space 12}_cons {c |}{col 19}{res}{space 2} 5.344915{col 31}{space 2} .1699981{col 42}{space 1}   31.44{col 51}{space 3}0.000{col 59}{space 4} 5.011725{col 72}{space 3} 5.678105
{txt}{hline 18}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{txt}{hline 29}{c TT}{hline 48}
{col 30}{c |}{col 34}{col 46}Robust{col 63}
{col 3}Random-effects parameters{col 30}{c |}{col 34}Estimate{col 45}std. err.{col 59}[95% conf. interval]
{hline 29}{c +}{hline 48}
{res}country_year{txt}: Identity{col 30}{c |}
{space 18}var(_cons) {c |}{res}{col 33} .4236277{col 44} .0787946{col 58} .2942126{col 70} .6099686
{txt}{hline 29}{c +}{hline 48}
{col 16}var(Residual){col 30}{c |}{res}{col 33} 4.412968{col 44} .1538415{col 58} 4.121515{col 70} 4.725032
{txt}{hline 29}{c BT}{hline 48}

{p 0 9 2}Warning: Sampling weights were 
specified only at the first level 
in a multilevel model. If these weights are 
indicative of overall and not conditional 
inclusion probabilities, then 
{help mixed##sampling:results may be biased}.
{p_end}

{com}. estimates store white3
{txt}
{com}. 
. mixed demprin_i c.v2pepwrsoc_rev incum_voter cp6r edr quintile female edad urban soct2r [pweight=weight1500] if white==1 || country_year:, cov(independent)
{txt}{p 0 6}note: single-variable random-{txt}effects specification in {inp:country_year} equation; covariance structure set to {inp:identity}.{p_end}
{res}
{txt}Obtaining starting values by EM ...
{res}
{txt}Performing gradient-based optimization: {res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:    -59405}  
Iteration 1:{space 3}log pseudolikelihood = {res:    -59405}  
{res}
{txt}Computing standard errors ...
{res}
{txt}Mixed-effects regression{col 49}Number of obs{col 67}={col 69}{res}    28,496
{txt}Group variable: {res}country_year{col 49}{txt}Number of groups{col 67}={col 69}{res}        57
{txt}{col 49}Obs per group:
{col 63}min{col 67}={col 69}{res}       126
{txt}{col 63}avg{col 67}={col 69}{res}     499.9
{txt}{col 63}max{col 67}={col 69}{res}     1,224
{col 49}{txt}Wald chi2({res}9{txt}){col 67}={col 70}{res}    88.35
{txt}Log pseudolikelihood = {res}    -59405{col 49}{txt}Prob > chi2{col 67}={col 73}{res}0.0000

{txt}{ralign 80:(Std. err. adjusted for {res:57} clusters in {res:country_year})}
{hline 15}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 16}{c |}{col 28}    Robust
{col 1}     demprin_i{col 16}{c |} Coefficient{col 28}  std. err.{col 40}      z{col 48}   P>|z|{col 56}     [95% con{col 69}f. interval]
{hline 15}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
v2pepwrsoc_rev {c |}{col 16}{res}{space 2}-.2828704{col 28}{space 2} .1417288{col 39}{space 1}   -2.00{col 48}{space 3}0.046{col 56}{space 4}-.5606537{col 69}{space 3} -.005087
{txt}{space 3}incum_voter {c |}{col 16}{res}{space 2} .1413236{col 28}{space 2} .0492042{col 39}{space 1}    2.87{col 48}{space 3}0.004{col 56}{space 4} .0448852{col 69}{space 3}  .237762
{txt}{space 10}cp6r {c |}{col 16}{res}{space 2}-.0033501{col 28}{space 2} .0215575{col 39}{space 1}   -0.16{col 48}{space 3}0.877{col 56}{space 4}-.0456019{col 69}{space 3} .0389018
{txt}{space 11}edr {c |}{col 16}{res}{space 2} .2618124{col 28}{space 2} .0334906{col 39}{space 1}    7.82{col 48}{space 3}0.000{col 56}{space 4} .1961721{col 69}{space 3} .3274527
{txt}{space 5}quintiles {c |}{col 16}{res}{space 2} .0513976{col 28}{space 2} .0142935{col 39}{space 1}    3.60{col 48}{space 3}0.000{col 56}{space 4} .0233828{col 69}{space 3} .0794125
{txt}{space 8}female {c |}{col 16}{res}{space 2}-.0976938{col 28}{space 2} .0305642{col 39}{space 1}   -3.20{col 48}{space 3}0.001{col 56}{space 4}-.1575985{col 69}{space 3}-.0377891
{txt}{space 10}edad {c |}{col 16}{res}{space 2} .0054639{col 28}{space 2} .0187503{col 39}{space 1}    0.29{col 48}{space 3}0.771{col 56}{space 4}-.0312861{col 69}{space 3} .0422139
{txt}{space 9}urban {c |}{col 16}{res}{space 2}-.0697746{col 28}{space 2} .0385655{col 39}{space 1}   -1.81{col 48}{space 3}0.070{col 56}{space 4}-.1453615{col 69}{space 3} .0058124
{txt}{space 8}soct2r {c |}{col 16}{res}{space 2} .0902662{col 28}{space 2} .0252115{col 39}{space 1}    3.58{col 48}{space 3}0.000{col 56}{space 4} .0408526{col 69}{space 3} .1396799
{txt}{space 9}_cons {c |}{col 16}{res}{space 2} 5.179278{col 28}{space 2} .2794457{col 39}{space 1}   18.53{col 48}{space 3}0.000{col 56}{space 4} 4.631575{col 69}{space 3} 5.726982
{txt}{hline 15}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{txt}{hline 29}{c TT}{hline 48}
{col 30}{c |}{col 34}{col 46}Robust{col 63}
{col 3}Random-effects parameters{col 30}{c |}{col 34}Estimate{col 45}std. err.{col 59}[95% conf. interval]
{hline 29}{c +}{hline 48}
{res}country_year{txt}: Identity{col 30}{c |}
{space 18}var(_cons) {c |}{res}{col 33} .5269743{col 44} .0987858{col 58} .3649425{col 70} .7609469
{txt}{hline 29}{c +}{hline 48}
{col 16}var(Residual){col 30}{c |}{res}{col 33} 4.413079{col 44} .1538303{col 58} 4.121646{col 70} 4.725119
{txt}{hline 29}{c BT}{hline 48}

{p 0 9 2}Warning: Sampling weights were 
specified only at the first level 
in a multilevel model. If these weights are 
indicative of overall and not conditional 
inclusion probabilities, then 
{help mixed##sampling:results may be biased}.
{p_end}

{com}. estimates store white4
{txt}
{com}. 
. esttab white1 white2 white3 white4 using "tableWhitePoP.txt", replace tex b(3) se(3) r2(3) label alignment(.) nomtitles numbers nogaps compress title("Multi-Level Models of Attitudes toward Democracy, White Respondents Alone")
{res}{txt}(output written to {browse  `"tableWhitePoP.txt"'})

{com}. 
. 
. // Black and indig alone
. 
. mixed ing4 c.bgi_dec_fear_cent incum_voter cp6r edr quintile female edad urban soct2r [pweight=weight1500] if black==1 | indig==1 || country_year:, cov(independent)
{txt}{p 0 6}note: single-variable random-{txt}effects specification in {inp:country_year} equation; covariance structure set to {inp:identity}.{p_end}
{res}
{txt}Obtaining starting values by EM ...
{res}
{txt}Performing gradient-based optimization: {res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res: -40846.97}  
Iteration 1:{space 3}log pseudolikelihood = {res: -40846.97}  
{res}
{txt}Computing standard errors ...
{res}
{txt}Mixed-effects regression{col 49}Number of obs{col 67}={col 69}{res}    23,176
{txt}Group variable: {res}country_year{col 49}{txt}Number of groups{col 67}={col 69}{res}        95
{txt}{col 49}Obs per group:
{col 63}min{col 67}={col 69}{res}        26
{txt}{col 63}avg{col 67}={col 69}{res}     244.0
{txt}{col 63}max{col 67}={col 69}{res}     1,310
{col 49}{txt}Wald chi2({res}9{txt}){col 67}={col 70}{res}   363.84
{txt}Log pseudolikelihood = {res} -40846.97{col 49}{txt}Prob > chi2{col 67}={col 73}{res}0.0000

{txt}{ralign 83:(Std. err. adjusted for {res:95} clusters in {res:country_year})}
{hline 18}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 19}{c |}{col 31}    Robust
{col 1}             ing4{col 19}{c |} Coefficient{col 31}  std. err.{col 43}      z{col 51}   P>|z|{col 59}     [95% con{col 72}f. interval]
{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
bgi_dec_fear_cent {c |}{col 19}{res}{space 2}-.0471107{col 31}{space 2} .0106808{col 42}{space 1}   -4.41{col 51}{space 3}0.000{col 59}{space 4}-.0680446{col 72}{space 3}-.0261767
{txt}{space 6}incum_voter {c |}{col 19}{res}{space 2} .1678044{col 31}{space 2} .0220768{col 42}{space 1}    7.60{col 51}{space 3}0.000{col 59}{space 4} .1245347{col 72}{space 3} .2110742
{txt}{space 13}cp6r {c |}{col 19}{res}{space 2} .0266221{col 31}{space 2} .0138396{col 42}{space 1}    1.92{col 51}{space 3}0.054{col 59}{space 4}-.0005031{col 72}{space 3} .0537474
{txt}{space 14}edr {c |}{col 19}{res}{space 2} .1788136{col 31}{space 2} .0199247{col 42}{space 1}    8.97{col 51}{space 3}0.000{col 59}{space 4} .1397618{col 72}{space 3} .2178653
{txt}{space 8}quintiles {c |}{col 19}{res}{space 2} .0171611{col 31}{space 2} .0116822{col 42}{space 1}    1.47{col 51}{space 3}0.142{col 59}{space 4}-.0057356{col 72}{space 3} .0400579
{txt}{space 11}female {c |}{col 19}{res}{space 2}-.0871442{col 31}{space 2} .0222327{col 42}{space 1}   -3.92{col 51}{space 3}0.000{col 59}{space 4}-.1307195{col 72}{space 3}-.0435689
{txt}{space 13}edad {c |}{col 19}{res}{space 2} .0950238{col 31}{space 2}  .009149{col 42}{space 1}   10.39{col 51}{space 3}0.000{col 59}{space 4} .0770921{col 72}{space 3} .1129556
{txt}{space 12}urban {c |}{col 19}{res}{space 2}-.0365576{col 31}{space 2} .0324345{col 42}{space 1}   -1.13{col 51}{space 3}0.260{col 59}{space 4}-.1001281{col 72}{space 3}  .027013
{txt}{space 11}soct2r {c |}{col 19}{res}{space 2} .1477215{col 31}{space 2} .0200413{col 42}{space 1}    7.37{col 51}{space 3}0.000{col 59}{space 4} .1084413{col 72}{space 3} .1870017
{txt}{space 12}_cons {c |}{col 19}{res}{space 2} 4.100212{col 31}{space 2} .0895974{col 42}{space 1}   45.76{col 51}{space 3}0.000{col 59}{space 4} 3.924605{col 72}{space 3}  4.27582
{txt}{hline 18}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{txt}{hline 29}{c TT}{hline 48}
{col 30}{c |}{col 34}{col 46}Robust{col 63}
{col 3}Random-effects parameters{col 30}{c |}{col 34}Estimate{col 45}std. err.{col 59}[95% conf. interval]
{hline 29}{c +}{hline 48}
{res}country_year{txt}: Identity{col 30}{c |}
{space 18}var(_cons) {c |}{res}{col 33} .1472731{col 44} .0221195{col 58} .1097181{col 70} .1976827
{txt}{hline 29}{c +}{hline 48}
{col 16}var(Residual){col 30}{c |}{res}{col 33} 2.889996{col 44} .0606034{col 58} 2.773624{col 70} 3.011252
{txt}{hline 29}{c BT}{hline 48}

{p 0 9 2}Warning: Sampling weights were 
specified only at the first level 
in a multilevel model. If these weights are 
indicative of overall and not conditional 
inclusion probabilities, then 
{help mixed##sampling:results may be biased}.
{p_end}

{com}. estimates store nonwhite1
{txt}
{com}. 
. mixed ing4 c.v2pepwrsoc_rev incum_voter cp6r edr quintile female edad urban soct2r [pweight=weight1500] if black==1 | indig==1 || country_year:, cov(independent)
{txt}{p 0 6}note: single-variable random-{txt}effects specification in {inp:country_year} equation; covariance structure set to {inp:identity}.{p_end}
{res}
{txt}Obtaining starting values by EM ...
{res}
{txt}Performing gradient-based optimization: {res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-40843.828}  
Iteration 1:{space 3}log pseudolikelihood = {res:-40843.828}  
{res}
{txt}Computing standard errors ...
{res}
{txt}Mixed-effects regression{col 49}Number of obs{col 67}={col 69}{res}    23,176
{txt}Group variable: {res}country_year{col 49}{txt}Number of groups{col 67}={col 69}{res}        95
{txt}{col 49}Obs per group:
{col 63}min{col 67}={col 69}{res}        26
{txt}{col 63}avg{col 67}={col 69}{res}     244.0
{txt}{col 63}max{col 67}={col 69}{res}     1,310
{col 49}{txt}Wald chi2({res}9{txt}){col 67}={col 70}{res}   372.32
{txt}Log pseudolikelihood = {res}-40843.828{col 49}{txt}Prob > chi2{col 67}={col 73}{res}0.0000

{txt}{ralign 80:(Std. err. adjusted for {res:95} clusters in {res:country_year})}
{hline 15}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 16}{c |}{col 28}    Robust
{col 1}          ing4{col 16}{c |} Coefficient{col 28}  std. err.{col 40}      z{col 48}   P>|z|{col 56}     [95% con{col 69}f. interval]
{hline 15}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
v2pepwrsoc_rev {c |}{col 16}{res}{space 2}-.2522911{col 28}{space 2} .0551915{col 39}{space 1}   -4.57{col 48}{space 3}0.000{col 56}{space 4}-.3604644{col 69}{space 3}-.1441179
{txt}{space 3}incum_voter {c |}{col 16}{res}{space 2} .1667373{col 28}{space 2} .0219116{col 39}{space 1}    7.61{col 48}{space 3}0.000{col 56}{space 4} .1237913{col 69}{space 3} .2096833
{txt}{space 10}cp6r {c |}{col 16}{res}{space 2} .0282237{col 28}{space 2} .0137973{col 39}{space 1}    2.05{col 48}{space 3}0.041{col 56}{space 4} .0011814{col 69}{space 3}  .055266
{txt}{space 11}edr {c |}{col 16}{res}{space 2} .1753647{col 28}{space 2} .0199755{col 39}{space 1}    8.78{col 48}{space 3}0.000{col 56}{space 4} .1362135{col 69}{space 3}  .214516
{txt}{space 5}quintiles {c |}{col 16}{res}{space 2} .0191244{col 28}{space 2} .0118062{col 39}{space 1}    1.62{col 48}{space 3}0.105{col 56}{space 4}-.0040153{col 69}{space 3}  .042264
{txt}{space 8}female {c |}{col 16}{res}{space 2} -.088224{col 28}{space 2} .0222351{col 39}{space 1}   -3.97{col 48}{space 3}0.000{col 56}{space 4}-.1318041{col 69}{space 3} -.044644
{txt}{space 10}edad {c |}{col 16}{res}{space 2} .0941163{col 28}{space 2} .0091301{col 39}{space 1}   10.31{col 48}{space 3}0.000{col 56}{space 4} .0762215{col 69}{space 3}  .112011
{txt}{space 9}urban {c |}{col 16}{res}{space 2} -.042769{col 28}{space 2} .0322578{col 39}{space 1}   -1.33{col 48}{space 3}0.185{col 56}{space 4}-.1059932{col 69}{space 3} .0204551
{txt}{space 8}soct2r {c |}{col 16}{res}{space 2} .1453299{col 28}{space 2} .0200182{col 39}{space 1}    7.26{col 48}{space 3}0.000{col 56}{space 4} .1060949{col 69}{space 3} .1845649
{txt}{space 9}_cons {c |}{col 16}{res}{space 2} 3.897509{col 28}{space 2}  .105409{col 39}{space 1}   36.98{col 48}{space 3}0.000{col 56}{space 4} 3.690911{col 69}{space 3} 4.104106
{txt}{hline 15}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{txt}{hline 29}{c TT}{hline 48}
{col 30}{c |}{col 34}{col 46}Robust{col 63}
{col 3}Random-effects parameters{col 30}{c |}{col 34}Estimate{col 45}std. err.{col 59}[95% conf. interval]
{hline 29}{c +}{hline 48}
{res}country_year{txt}: Identity{col 30}{c |}
{space 18}var(_cons) {c |}{res}{col 33} .1404709{col 44} .0216984{col 58} .1037773{col 70} .1901387
{txt}{hline 29}{c +}{hline 48}
{col 16}var(Residual){col 30}{c |}{res}{col 33} 2.889665{col 44} .0605879{col 58} 2.773321{col 70} 3.010889
{txt}{hline 29}{c BT}{hline 48}

{p 0 9 2}Warning: Sampling weights were 
specified only at the first level 
in a multilevel model. If these weights are 
indicative of overall and not conditional 
inclusion probabilities, then 
{help mixed##sampling:results may be biased}.
{p_end}

{com}. estimates store nonwhite2
{txt}
{com}. 
. mixed demprin_i c.bgi_dec_fear_cent incum_voter cp6r edr quintile female edad urban soct2r [pweight=weight1500] if black==1 | indig==1 || country_year:, cov(independent)
{txt}{p 0 6}note: single-variable random-{txt}effects specification in {inp:country_year} equation; covariance structure set to {inp:identity}.{p_end}
{res}
{txt}Obtaining starting values by EM ...
{res}
{txt}Performing gradient-based optimization: {res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res: -27769.91}  
Iteration 1:{space 3}log pseudolikelihood = {res: -27769.91}  
{res}
{txt}Computing standard errors ...
{res}
{txt}Mixed-effects regression{col 49}Number of obs{col 67}={col 69}{res}    14,279
{txt}Group variable: {res}country_year{col 49}{txt}Number of groups{col 67}={col 69}{res}        61
{txt}{col 49}Obs per group:
{col 63}min{col 67}={col 69}{res}        27
{txt}{col 63}avg{col 67}={col 69}{res}     234.1
{txt}{col 63}max{col 67}={col 69}{res}     1,383
{col 49}{txt}Wald chi2({res}9{txt}){col 67}={col 70}{res}   163.72
{txt}Log pseudolikelihood = {res} -27769.91{col 49}{txt}Prob > chi2{col 67}={col 73}{res}0.0000

{txt}{ralign 83:(Std. err. adjusted for {res:61} clusters in {res:country_year})}
{hline 18}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 19}{c |}{col 31}    Robust
{col 1}        demprin_i{col 19}{c |} Coefficient{col 31}  std. err.{col 43}      z{col 51}   P>|z|{col 59}     [95% con{col 72}f. interval]
{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
bgi_dec_fear_cent {c |}{col 19}{res}{space 2}-.1106861{col 31}{space 2} .0166189{col 42}{space 1}   -6.66{col 51}{space 3}0.000{col 59}{space 4}-.1432586{col 72}{space 3}-.0781136
{txt}{space 6}incum_voter {c |}{col 19}{res}{space 2} .1317716{col 31}{space 2} .0439214{col 42}{space 1}    3.00{col 51}{space 3}0.003{col 59}{space 4} .0456872{col 72}{space 3}  .217856
{txt}{space 13}cp6r {c |}{col 19}{res}{space 2}-.0055762{col 31}{space 2} .0278181{col 42}{space 1}   -0.20{col 51}{space 3}0.841{col 59}{space 4}-.0600987{col 72}{space 3} .0489463
{txt}{space 14}edr {c |}{col 19}{res}{space 2} .2659215{col 31}{space 2} .0475343{col 42}{space 1}    5.59{col 51}{space 3}0.000{col 59}{space 4}  .172756{col 72}{space 3} .3590869
{txt}{space 8}quintiles {c |}{col 19}{res}{space 2} .0017543{col 31}{space 2} .0297726{col 42}{space 1}    0.06{col 51}{space 3}0.953{col 59}{space 4}-.0565989{col 72}{space 3} .0601076
{txt}{space 11}female {c |}{col 19}{res}{space 2}-.1163204{col 31}{space 2} .0334976{col 42}{space 1}   -3.47{col 51}{space 3}0.001{col 59}{space 4}-.1819745{col 72}{space 3}-.0506663
{txt}{space 13}edad {c |}{col 19}{res}{space 2} .0255323{col 31}{space 2} .0177831{col 42}{space 1}    1.44{col 51}{space 3}0.151{col 59}{space 4}-.0093219{col 72}{space 3} .0603865
{txt}{space 12}urban {c |}{col 19}{res}{space 2}-.0659187{col 31}{space 2} .0752233{col 42}{space 1}   -0.88{col 51}{space 3}0.381{col 59}{space 4}-.2133537{col 72}{space 3} .0815163
{txt}{space 11}soct2r {c |}{col 19}{res}{space 2}  .015214{col 31}{space 2} .0378839{col 42}{space 1}    0.40{col 51}{space 3}0.688{col 59}{space 4} -.059037{col 72}{space 3} .0894651
{txt}{space 12}_cons {c |}{col 19}{res}{space 2} 5.706525{col 31}{space 2} .1486949{col 42}{space 1}   38.38{col 51}{space 3}0.000{col 59}{space 4} 5.415088{col 72}{space 3} 5.997962
{txt}{hline 18}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{txt}{hline 29}{c TT}{hline 48}
{col 30}{c |}{col 34}{col 46}Robust{col 63}
{col 3}Random-effects parameters{col 30}{c |}{col 34}Estimate{col 45}std. err.{col 59}[95% conf. interval]
{hline 29}{c +}{hline 48}
{res}country_year{txt}: Identity{col 30}{c |}
{space 18}var(_cons) {c |}{res}{col 33} .2789097{col 44} .0545397{col 58} .1901141{col 70} .4091785
{txt}{hline 29}{c +}{hline 48}
{col 16}var(Residual){col 30}{c |}{res}{col 33} 4.297583{col 44} .1226435{col 58} 4.063805{col 70} 4.544809
{txt}{hline 29}{c BT}{hline 48}

{p 0 9 2}Warning: Sampling weights were 
specified only at the first level 
in a multilevel model. If these weights are 
indicative of overall and not conditional 
inclusion probabilities, then 
{help mixed##sampling:results may be biased}.
{p_end}

{com}. estimates store nonwhite3
{txt}
{com}. 
. mixed demprin_i c.v2pepwrsoc_rev incum_voter cp6r edr quintile female edad urban soct2r [pweight=weight1500] if black==1 | indig==1 || country_year:, cov(independent)
{txt}{p 0 6}note: single-variable random-{txt}effects specification in {inp:country_year} equation; covariance structure set to {inp:identity}.{p_end}
{res}
{txt}Obtaining starting values by EM ...
{res}
{txt}Performing gradient-based optimization: {res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-27780.331}  
Iteration 1:{space 3}log pseudolikelihood = {res:-27780.331}  
{res}
{txt}Computing standard errors ...
{res}
{txt}Mixed-effects regression{col 49}Number of obs{col 67}={col 69}{res}    14,279
{txt}Group variable: {res}country_year{col 49}{txt}Number of groups{col 67}={col 69}{res}        61
{txt}{col 49}Obs per group:
{col 63}min{col 67}={col 69}{res}        27
{txt}{col 63}avg{col 67}={col 69}{res}     234.1
{txt}{col 63}max{col 67}={col 69}{res}     1,383
{col 49}{txt}Wald chi2({res}9{txt}){col 67}={col 70}{res}    91.31
{txt}Log pseudolikelihood = {res}-27780.331{col 49}{txt}Prob > chi2{col 67}={col 73}{res}0.0000

{txt}{ralign 80:(Std. err. adjusted for {res:61} clusters in {res:country_year})}
{hline 15}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 16}{c |}{col 28}    Robust
{col 1}     demprin_i{col 16}{c |} Coefficient{col 28}  std. err.{col 40}      z{col 48}   P>|z|{col 56}     [95% con{col 69}f. interval]
{hline 15}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
v2pepwrsoc_rev {c |}{col 16}{res}{space 2}-.1662718{col 28}{space 2} .1110619{col 39}{space 1}   -1.50{col 48}{space 3}0.134{col 56}{space 4}-.3839491{col 69}{space 3} .0514056
{txt}{space 3}incum_voter {c |}{col 16}{res}{space 2} .1308401{col 28}{space 2} .0437849{col 39}{space 1}    2.99{col 48}{space 3}0.003{col 56}{space 4} .0450232{col 69}{space 3}  .216657
{txt}{space 10}cp6r {c |}{col 16}{res}{space 2}-.0055025{col 28}{space 2} .0279082{col 39}{space 1}   -0.20{col 48}{space 3}0.844{col 56}{space 4}-.0602014{col 69}{space 3} .0491965
{txt}{space 11}edr {c |}{col 16}{res}{space 2} .2649951{col 28}{space 2} .0477319{col 39}{space 1}    5.55{col 48}{space 3}0.000{col 56}{space 4} .1714423{col 69}{space 3} .3585479
{txt}{space 5}quintiles {c |}{col 16}{res}{space 2} .0031934{col 28}{space 2} .0298626{col 39}{space 1}    0.11{col 48}{space 3}0.915{col 56}{space 4}-.0553364{col 69}{space 3} .0617231
{txt}{space 8}female {c |}{col 16}{res}{space 2}-.1168439{col 28}{space 2} .0334256{col 39}{space 1}   -3.50{col 48}{space 3}0.000{col 56}{space 4}-.1823569{col 69}{space 3}-.0513309
{txt}{space 10}edad {c |}{col 16}{res}{space 2} .0253696{col 28}{space 2} .0176795{col 39}{space 1}    1.43{col 48}{space 3}0.151{col 56}{space 4}-.0092816{col 69}{space 3} .0600207
{txt}{space 9}urban {c |}{col 16}{res}{space 2}-.0687588{col 28}{space 2} .0758152{col 39}{space 1}   -0.91{col 48}{space 3}0.364{col 56}{space 4}-.2173539{col 69}{space 3} .0798362
{txt}{space 8}soct2r {c |}{col 16}{res}{space 2} .0123695{col 28}{space 2} .0381715{col 39}{space 1}    0.32{col 48}{space 3}0.746{col 56}{space 4}-.0624452{col 69}{space 3} .0871842
{txt}{space 9}_cons {c |}{col 16}{res}{space 2} 5.610862{col 28}{space 2} .2006549{col 39}{space 1}   27.96{col 48}{space 3}0.000{col 56}{space 4} 5.217585{col 69}{space 3} 6.004138
{txt}{hline 15}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{txt}{hline 29}{c TT}{hline 48}
{col 30}{c |}{col 34}{col 46}Robust{col 63}
{col 3}Random-effects parameters{col 30}{c |}{col 34}Estimate{col 45}std. err.{col 59}[95% conf. interval]
{hline 29}{c +}{hline 48}
{res}country_year{txt}: Identity{col 30}{c |}
{space 18}var(_cons) {c |}{res}{col 33} .4135716{col 44}  .079023{col 58} .2843857{col 70} .6014418
{txt}{hline 29}{c +}{hline 48}
{col 16}var(Residual){col 30}{c |}{res}{col 33} 4.297286{col 44} .1226189{col 58} 4.063554{col 70} 4.544462
{txt}{hline 29}{c BT}{hline 48}

{p 0 9 2}Warning: Sampling weights were 
specified only at the first level 
in a multilevel model. If these weights are 
indicative of overall and not conditional 
inclusion probabilities, then 
{help mixed##sampling:results may be biased}.
{p_end}

{com}. estimates store nonwhite4
{txt}
{com}. 
. esttab nonwhite1 nonwhite2 nonwhite3 nonwhite4 using "tableNonWhitePoP.txt", replace tex b(3) se(3) r2(3) label alignment(.) nomtitles numbers nogaps compress title("Multi-Level Models of Attitudes toward Democracy, Black and Indigenous Respondents Alone")
{res}{txt}(output written to {browse  `"tableNonWhitePoP.txt"'})

{com}. 
. log close
      {txt}name:  {res}<unnamed>
       {txt}log:  {res}C:\Users\Natha\OneDrive\Jana\Academic Work\Inequality in LA\Outputs\exclusionaryDemocracyLABook\Analysis\democraticNorms\PoP\analysisLogPoPFinal.smcl
  {txt}log type:  {res}smcl
 {txt}closed on:  {res}27 Sep 2024, 11:58:25
{txt}{.-}
{smcl}
{txt}{sf}{ul off}